[04/18 17:26:12] detectron2 INFO: Rank of current process: 0. World size: 8 [04/18 17:26:13] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/18 17:26:13] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_fast_rcnn_R_101_1x_syncbn_scale.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/new.pth'], resume=False) [04/18 17:26:13] detectron2 INFO: Contents of args.config_file=./temp/my_fast_rcnn_R_101_1x_syncbn_scale.yaml: #_BASE_: "../Base-RCNN-FPN.yaml" _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: #$WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" WEIGHTS: "https://hangzh.s3.amazonaws.com/encoding/models/resnest101_detectron-5667c874.pth" MASK_ON: False RESNETS: DEPTH: 101 STRIDE_IN_1X1: False RADIX: 2 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] SOLVER: IMS_PER_BATCH: 16 #16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/18 17:26:13] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 101 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 2 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: False WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: False CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: StandardROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 1000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/new.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/18 17:26:13] detectron2 INFO: Full config saved to ./output/config.yaml [04/18 17:26:13] d2.utils.env INFO: Using a generated random seed 13275972 [04/18 17:26:14] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1_1): Conv2d( 3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_3): Conv2d( 64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=1, stride=1, padding=0) (shortcut): Conv2d( 128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 128, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (6): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (7): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (8): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (9): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (10): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (11): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (12): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (13): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (14): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (15): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (16): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (17): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (18): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (19): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (20): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (21): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (22): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): StandardROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (box_predictor): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=320, bias=True) ) ) ) [04/18 17:26:14] fvcore.common.checkpoint INFO: Loading checkpoint from temp/new.pth [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res2.0.conv2.fc1.weight' has shape (32, 64, 1, 1, 1, 1) in the checkpoint but (32, 64, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res2.0.conv2.fc2.weight' has shape (128, 32, 1, 1, 1, 1) in the checkpoint but (128, 32, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res2.1.conv2.fc1.weight' has shape (32, 64, 1, 1, 1, 1) in the checkpoint but (32, 64, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res2.1.conv2.fc2.weight' has shape (128, 32, 1, 1, 1, 1) in the checkpoint but (128, 32, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res2.2.conv2.fc1.weight' has shape (32, 64, 1, 1, 1, 1) in the checkpoint but (32, 64, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res2.2.conv2.fc2.weight' has shape (128, 32, 1, 1, 1, 1) in the checkpoint but (128, 32, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.0.conv2.fc1.weight' has shape (64, 128, 1, 1, 1, 1) in the checkpoint but (64, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.0.conv2.fc2.weight' has shape (256, 64, 1, 1, 1, 1) in the checkpoint but (256, 64, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.1.conv2.fc1.weight' has shape (64, 128, 1, 1, 1, 1) in the checkpoint but (64, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.1.conv2.fc2.weight' has shape (256, 64, 1, 1, 1, 1) in the checkpoint but (256, 64, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.2.conv2.fc1.weight' has shape (64, 128, 1, 1, 1, 1) in the checkpoint but (64, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.2.conv2.fc2.weight' has shape (256, 64, 1, 1, 1, 1) in the checkpoint but (256, 64, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.3.conv2.fc1.weight' has shape (64, 128, 1, 1, 1, 1) in the checkpoint but (64, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res3.3.conv2.fc2.weight' has shape (256, 64, 1, 1, 1, 1) in the checkpoint but (256, 64, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.0.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.0.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.1.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.1.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.2.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.2.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.3.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.3.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.4.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.4.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.5.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.5.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.6.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.6.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.7.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.7.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.8.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.8.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.9.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.9.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.10.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.10.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.11.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.11.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.12.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.12.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.13.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.13.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.14.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.14.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.15.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.15.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.16.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.16.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.17.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.17.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.18.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.18.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.19.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.19.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.20.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.20.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.21.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.21.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.22.conv2.fc1.weight' has shape (128, 256, 1, 1, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res4.22.conv2.fc2.weight' has shape (512, 128, 1, 1, 1, 1) in the checkpoint but (512, 128, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res5.0.conv2.fc1.weight' has shape (256, 512, 1, 1, 1, 1) in the checkpoint but (256, 512, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res5.0.conv2.fc2.weight' has shape (1024, 256, 1, 1, 1, 1) in the checkpoint but (1024, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res5.1.conv2.fc1.weight' has shape (256, 512, 1, 1, 1, 1) in the checkpoint but (256, 512, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res5.1.conv2.fc2.weight' has shape (1024, 256, 1, 1, 1, 1) in the checkpoint but (1024, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res5.2.conv2.fc1.weight' has shape (256, 512, 1, 1, 1, 1) in the checkpoint but (256, 512, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint WARNING: 'backbone.bottom_up.res5.2.conv2.fc2.weight' has shape (1024, 256, 1, 1, 1, 1) in the checkpoint but (1024, 256, 1, 1) in the model! Skipped. [04/18 17:26:14] fvcore.common.checkpoint INFO: Some model parameters are not in the checkpoint: backbone.bottom_up.res4.0.conv2.bn0.{weight, running_var, running_mean, num_batches_tracked, bias} backbone.bottom_up.res4.15.conv2.bn0.{running_var, bias, num_batches_tracked, weight, running_mean} backbone.bottom_up.res2.2.conv2.bn0.{bias, weight, running_mean, running_var} backbone.bottom_up.res5.2.conv2.bn0.{running_mean, num_batches_tracked, bias, weight, running_var} backbone.bottom_up.res4.17.conv2.fc2.weight backbone.bottom_up.res5.1.conv2.bn0.{num_batches_tracked, bias, weight, running_var, running_mean} backbone.bottom_up.res4.3.conv2.bn0.{num_batches_tracked, bias, weight, running_mean, running_var} backbone.bottom_up.res2.1.conv2.bn0.{bias, running_mean, running_var, weight} backbone.bottom_up.res4.17.conv2.bn0.{num_batches_tracked, running_var, bias, weight, running_mean} backbone.bottom_up.res4.4.conv2.bn0.{running_mean, bias, running_var, num_batches_tracked, weight} backbone.bottom_up.res4.20.conv2.bn0.{weight, bias, running_mean, num_batches_tracked, running_var} backbone.bottom_up.res4.0.conv2.fc2.weight backbone.bottom_up.res3.1.conv2.fc2.weight backbone.bottom_up.res4.22.conv2.bn0.{running_var, weight, bias, num_batches_tracked, running_mean} backbone.bottom_up.res4.14.conv2.bn0.{bias, running_var, running_mean, weight, num_batches_tracked} backbone.bottom_up.res5.0.conv2.bn0.{num_batches_tracked, running_var, bias, weight, running_mean} backbone.bottom_up.res4.11.conv2.fc1.weight backbone.bottom_up.res3.3.conv2.bn0.{bias, running_var, weight, running_mean, num_batches_tracked} backbone.bottom_up.res4.14.conv2.fc1.weight backbone.bottom_up.res4.7.conv2.fc1.weight backbone.bottom_up.res4.11.conv2.fc2.weight backbone.bottom_up.res4.1.conv2.fc2.weight backbone.bottom_up.res4.13.conv2.fc2.weight backbone.bottom_up.res4.16.conv2.fc2.weight backbone.bottom_up.res4.10.conv2.fc2.weight backbone.bottom_up.res4.8.conv2.bn0.{bias, running_var, weight, num_batches_tracked, running_mean} backbone.bottom_up.res4.9.conv2.bn0.{running_var, running_mean, weight, bias, num_batches_tracked} backbone.bottom_up.res4.11.conv2.bn0.{weight, num_batches_tracked, bias, running_var, running_mean} backbone.bottom_up.res4.4.conv2.fc1.weight backbone.bottom_up.res4.19.conv2.bn0.{running_var, weight, running_mean, bias, num_batches_tracked} backbone.bottom_up.res3.0.conv2.fc1.weight backbone.bottom_up.res4.12.conv2.bn0.{num_batches_tracked, bias, weight, running_mean, running_var} backbone.bottom_up.res2.0.conv2.fc1.weight backbone.bottom_up.res5.2.conv2.fc1.weight backbone.bottom_up.res3.1.conv2.bn0.{weight, num_batches_tracked, bias, running_var, running_mean} backbone.bottom_up.res3.2.conv2.fc2.weight backbone.bottom_up.res4.2.conv2.fc1.weight backbone.bottom_up.res4.13.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.0.conv2.fc2.weight backbone.bottom_up.res4.5.conv2.fc1.weight backbone.bottom_up.res2.2.conv2.fc2.weight backbone.bottom_up.res4.1.conv2.bn0.{num_batches_tracked, running_mean, weight, running_var, bias} backbone.bottom_up.res4.0.conv2.fc1.weight backbone.bottom_up.res4.18.conv2.fc2.weight backbone.bottom_up.res5.2.conv2.fc2.weight backbone.bottom_up.res3.0.conv2.bn0.{running_mean, bias, running_var, num_batches_tracked, weight} backbone.bottom_up.res5.1.conv2.fc1.weight backbone.bottom_up.res4.5.conv2.bn0.{running_mean, bias, weight, running_var, num_batches_tracked} backbone.bottom_up.res4.21.conv2.fc1.weight backbone.bottom_up.res4.3.conv2.fc1.weight backbone.bottom_up.res4.10.conv2.bn0.{num_batches_tracked, running_mean, bias, running_var, weight} backbone.bottom_up.res5.0.conv2.fc2.weight backbone.bottom_up.res4.16.conv2.fc1.weight backbone.bottom_up.res4.13.conv2.fc1.weight backbone.bottom_up.res2.1.conv2.fc2.weight backbone.bottom_up.res4.2.conv2.bn0.{bias, weight, running_mean, num_batches_tracked, running_var} backbone.bottom_up.res4.9.conv2.fc2.weight backbone.bottom_up.res2.0.conv2.bn0.{weight, running_var, running_mean, bias} backbone.bottom_up.res4.16.conv2.bn0.{bias, weight, num_batches_tracked, running_mean, running_var} backbone.bottom_up.res4.18.conv2.bn0.{running_var, bias, running_mean, weight, num_batches_tracked} backbone.bottom_up.res4.7.conv2.fc2.weight backbone.bottom_up.res4.21.conv2.fc2.weight backbone.bottom_up.res5.1.conv2.fc2.weight backbone.bottom_up.res4.12.conv2.fc2.weight backbone.bottom_up.res4.9.conv2.fc1.weight backbone.bottom_up.res3.2.conv2.fc1.weight backbone.bottom_up.res2.2.conv2.fc1.weight backbone.bottom_up.res4.22.conv2.fc1.weight backbone.bottom_up.res4.14.conv2.fc2.weight backbone.bottom_up.res4.6.conv2.fc1.weight backbone.bottom_up.res4.19.conv2.fc1.weight backbone.bottom_up.res4.7.conv2.bn0.{weight, num_batches_tracked, running_mean, bias, running_var} backbone.bottom_up.res4.21.conv2.bn0.{num_batches_tracked, bias, running_var, weight, running_mean} backbone.bottom_up.res4.6.conv2.bn0.{num_batches_tracked, running_var, running_mean, weight, bias} backbone.bottom_up.res4.8.conv2.fc1.weight backbone.bottom_up.res4.4.conv2.fc2.weight backbone.bottom_up.res4.2.conv2.fc2.weight backbone.bottom_up.res3.3.conv2.fc2.weight backbone.bottom_up.res4.8.conv2.fc2.weight backbone.bottom_up.res4.15.conv2.fc1.weight backbone.bottom_up.res4.5.conv2.fc2.weight backbone.bottom_up.res4.15.conv2.fc2.weight backbone.bottom_up.res4.22.conv2.fc2.weight backbone.bottom_up.res3.1.conv2.fc1.weight backbone.bottom_up.res4.19.conv2.fc2.weight backbone.bottom_up.res2.1.conv2.fc1.weight backbone.bottom_up.res3.2.conv2.bn0.{num_batches_tracked, weight, bias, running_var, running_mean} backbone.bottom_up.res4.10.conv2.fc1.weight backbone.bottom_up.res4.17.conv2.fc1.weight backbone.bottom_up.res3.3.conv2.fc1.weight backbone.bottom_up.res4.12.conv2.fc1.weight backbone.bottom_up.res5.0.conv2.fc1.weight backbone.bottom_up.res4.1.conv2.fc1.weight backbone.bottom_up.res4.20.conv2.fc2.weight backbone.bottom_up.res4.6.conv2.fc2.weight backbone.bottom_up.res4.18.conv2.fc1.weight backbone.bottom_up.res4.20.conv2.fc1.weight backbone.bottom_up.res4.3.conv2.fc2.weight backbone.bottom_up.res2.0.conv2.fc2.weight [04/18 17:26:14] fvcore.common.checkpoint INFO: The checkpoint contains parameters not used by the model: backbone.bottom_up.res2.0.conv2.bn00.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.1.conv2.bn00.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.2.conv2.bn00.{weight, bias, running_mean, running_var} backbone.bottom_up.res3.0.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.1.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.2.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.3.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.0.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.1.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.2.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.3.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.4.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.5.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.6.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.7.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.8.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.9.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.10.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.11.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.12.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.13.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.14.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.15.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.16.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.17.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.18.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.19.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.20.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.21.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.22.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.0.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.1.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.2.conv2.bn00.{weight, bias, running_mean, running_var, num_batches_tracked} [04/18 17:26:15] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/18 17:26:16] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/18 17:26:16] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/18 17:26:16] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/18 17:26:16] d2.evaluation.evaluator INFO: Start inference on 625 images [04/18 17:26:22] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0792 s / img. ETA=0:00:49 [04/18 17:26:27] d2.evaluation.evaluator INFO: Inference done 74/625. 0.0783 s / img. ETA=0:00:43 [04/18 17:26:32] d2.evaluation.evaluator INFO: Inference done 137/625. 0.0783 s / img. ETA=0:00:38 [04/18 17:26:37] d2.evaluation.evaluator INFO: Inference done 199/625. 0.0786 s / img. ETA=0:00:34 [04/18 17:26:42] d2.evaluation.evaluator INFO: Inference done 262/625. 0.0785 s / img. ETA=0:00:29 [04/18 17:26:47] d2.evaluation.evaluator INFO: Inference done 325/625. 0.0784 s / img. ETA=0:00:23 [04/18 17:26:52] d2.evaluation.evaluator INFO: Inference done 388/625. 0.0783 s / img. ETA=0:00:18 [04/18 17:26:57] d2.evaluation.evaluator INFO: Inference done 451/625. 0.0783 s / img. ETA=0:00:13 [04/18 17:27:02] d2.evaluation.evaluator INFO: Inference done 514/625. 0.0783 s / img. ETA=0:00:08 [04/18 17:27:07] d2.evaluation.evaluator INFO: Inference done 575/625. 0.0786 s / img. ETA=0:00:04 [04/18 17:27:11] d2.evaluation.evaluator INFO: Total inference time: 0:00:49.926240 (0.080526 s / img per device, on 8 devices) [04/18 17:27:11] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:48 (0.078545 s / img per device, on 8 devices) [04/18 17:27:14] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/18 17:27:14] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/18 17:27:14] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/18 17:27:31] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:-----:|:------:|:------:|:-----:|:-----:|:-----:| | 0.000 | 0.000 | 0.000 | 0.000 | 0.011 | 0.000 | [04/18 17:27:31] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:------|:-------------|:------|:---------------|:------| | person | 0.013 | bicycle | 0.000 | car | 0.002 | | motorcycle | 0.000 | airplane | 0.000 | bus | 0.000 | | train | 0.000 | truck | 0.000 | boat | 0.000 | | traffic light | 0.000 | fire hydrant | 0.000 | stop sign | 0.000 | | parking meter | 0.000 | bench | 0.000 | bird | 0.000 | | cat | 0.000 | dog | 0.000 | horse | 0.000 | | sheep | 0.000 | cow | 0.000 | elephant | 0.000 | | bear | 0.000 | zebra | 0.000 | giraffe | 0.000 | | backpack | 0.000 | umbrella | 0.001 | handbag | 0.000 | | tie | 0.000 | suitcase | 0.000 | frisbee | 0.000 | | skis | 0.000 | snowboard | 0.000 | sports ball | 0.000 | | kite | 0.000 | baseball bat | 0.000 | baseball glove | 0.000 | | skateboard | 0.000 | surfboard | 0.000 | tennis racket | 0.000 | | bottle | 0.000 | wine glass | 0.000 | cup | 0.000 | | fork | 0.000 | knife | 0.000 | spoon | 0.000 | | bowl | 0.000 | banana | 0.000 | apple | 0.000 | | sandwich | 0.000 | orange | 0.000 | broccoli | 0.000 | | carrot | 0.000 | hot dog | 0.000 | pizza | 0.000 | | donut | 0.000 | cake | 0.000 | chair | 0.000 | | couch | 0.000 | potted plant | 0.000 | bed | 0.000 | | dining table | 0.000 | toilet | 0.000 | tv | 0.000 | | laptop | 0.000 | mouse | 0.000 | remote | 0.000 | | keyboard | 0.000 | cell phone | 0.000 | microwave | 0.000 | | oven | 0.000 | toaster | 0.000 | sink | 0.000 | | refrigerator | 0.000 | book | 0.000 | clock | 0.000 | | vase | 0.000 | scissors | 0.000 | teddy bear | 0.000 | | hair drier | 0.000 | toothbrush | 0.000 | | | [04/18 17:27:32] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/18 17:27:32] d2.evaluation.testing INFO: copypaste: Task: bbox [04/18 17:27:32] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/18 17:27:32] d2.evaluation.testing INFO: copypaste: 0.0002,0.0005,0.0000,0.0000,0.0112,0.0003 [04/18 17:31:29] detectron2 INFO: Rank of current process: 0. World size: 8 [04/18 17:31:30] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/18 17:31:30] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_fast_rcnn_R_101_1x_syncbn_scale.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/new.pth'], resume=False) [04/18 17:31:30] detectron2 INFO: Contents of args.config_file=./temp/my_fast_rcnn_R_101_1x_syncbn_scale.yaml: #_BASE_: "../Base-RCNN-FPN.yaml" _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: #$WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" WEIGHTS: "https://hangzh.s3.amazonaws.com/encoding/models/resnest101_detectron-5667c874.pth" MASK_ON: False RESNETS: DEPTH: 101 STRIDE_IN_1X1: False RADIX: 2 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] SOLVER: IMS_PER_BATCH: 16 #16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/18 17:31:30] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 101 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 2 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: False WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: False CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: StandardROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 1000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/new.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/18 17:31:30] detectron2 INFO: Full config saved to ./output/config.yaml [04/18 17:31:30] d2.utils.env INFO: Using a generated random seed 30276748 [04/18 17:31:31] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1_1): Conv2d( 3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_3): Conv2d( 64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=1, stride=1, padding=0) (shortcut): Conv2d( 128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 128, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (6): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (7): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (8): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (9): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (10): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (11): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (12): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (13): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (14): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (15): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (16): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (17): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (18): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (19): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (20): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (21): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (22): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): StandardROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (box_predictor): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=320, bias=True) ) ) ) [04/18 17:31:31] fvcore.common.checkpoint INFO: Loading checkpoint from temp/new.pth [04/18 17:31:32] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/18 17:31:33] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/18 17:31:33] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/18 17:31:33] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/18 17:31:33] d2.evaluation.evaluator INFO: Start inference on 625 images [04/18 17:31:39] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0869 s / img. ETA=0:00:54 [04/18 17:31:44] d2.evaluation.evaluator INFO: Inference done 73/625. 0.0798 s / img. ETA=0:00:44 [04/18 17:31:49] d2.evaluation.evaluator INFO: Inference done 137/625. 0.0787 s / img. ETA=0:00:39 [04/18 17:31:54] d2.evaluation.evaluator INFO: Inference done 200/625. 0.0787 s / img. ETA=0:00:34 [04/18 17:31:59] d2.evaluation.evaluator INFO: Inference done 264/625. 0.0784 s / img. ETA=0:00:28 [04/18 17:32:04] d2.evaluation.evaluator INFO: Inference done 326/625. 0.0786 s / img. ETA=0:00:23 [04/18 17:32:09] d2.evaluation.evaluator INFO: Inference done 387/625. 0.0789 s / img. ETA=0:00:19 [04/18 17:32:14] d2.evaluation.evaluator INFO: Inference done 450/625. 0.0789 s / img. ETA=0:00:14 [04/18 17:32:19] d2.evaluation.evaluator INFO: Inference done 512/625. 0.0789 s / img. ETA=0:00:09 [04/18 17:32:24] d2.evaluation.evaluator INFO: Inference done 575/625. 0.0788 s / img. ETA=0:00:04 [04/18 17:32:29] d2.evaluation.evaluator INFO: Total inference time: 0:00:50.130986 (0.080856 s / img per device, on 8 devices) [04/18 17:32:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:48 (0.078887 s / img per device, on 8 devices) [04/18 17:32:31] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/18 17:32:31] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/18 17:32:31] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/18 17:33:12] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 44.716 | 66.110 | 48.496 | 28.557 | 48.657 | 57.072 | [04/18 17:33:12] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:-------|:-------------|:-------|:---------------|:-------| | person | 56.554 | bicycle | 34.601 | car | 46.499 | | motorcycle | 47.494 | airplane | 65.930 | bus | 69.363 | | train | 64.844 | truck | 39.742 | boat | 30.483 | | traffic light | 30.449 | fire hydrant | 70.315 | stop sign | 67.873 | | parking meter | 47.470 | bench | 27.090 | bird | 38.928 | | cat | 70.504 | dog | 66.169 | horse | 60.230 | | sheep | 56.823 | cow | 58.583 | elephant | 64.669 | | bear | 68.113 | zebra | 65.313 | giraffe | 66.885 | | backpack | 18.164 | umbrella | 43.112 | handbag | 18.733 | | tie | 38.862 | suitcase | 44.717 | frisbee | 69.848 | | skis | 28.737 | snowboard | 45.267 | sports ball | 49.197 | | kite | 46.225 | baseball bat | 36.598 | baseball glove | 41.829 | | skateboard | 57.467 | surfboard | 42.700 | tennis racket | 52.318 | | bottle | 43.363 | wine glass | 40.660 | cup | 45.897 | | fork | 40.951 | knife | 25.738 | spoon | 22.259 | | bowl | 43.800 | banana | 26.980 | apple | 22.779 | | sandwich | 38.436 | orange | 31.392 | broccoli | 26.537 | | carrot | 24.441 | hot dog | 36.116 | pizza | 53.827 | | donut | 49.825 | cake | 38.328 | chair | 30.324 | | couch | 43.805 | potted plant | 30.322 | bed | 43.183 | | dining table | 30.185 | toilet | 64.022 | tv | 57.624 | | laptop | 62.752 | mouse | 61.924 | remote | 41.506 | | keyboard | 54.775 | cell phone | 39.843 | microwave | 59.500 | | oven | 36.946 | toaster | 30.475 | sink | 39.490 | | refrigerator | 60.189 | book | 17.438 | clock | 53.186 | | vase | 41.712 | scissors | 32.351 | teddy bear | 49.108 | | hair drier | 6.743 | toothbrush | 29.810 | | | [04/18 17:33:13] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/18 17:33:13] d2.evaluation.testing INFO: copypaste: Task: bbox [04/18 17:33:13] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/18 17:33:13] d2.evaluation.testing INFO: copypaste: 44.7155,66.1098,48.4962,28.5573,48.6570,57.0721 [04/18 17:35:07] detectron2 INFO: Rank of current process: 0. World size: 8 [04/18 17:35:07] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/18 17:35:07] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_fast_rcnn_R_101_1x_syncbn_scale.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/new.pth'], resume=False) [04/18 17:35:07] detectron2 INFO: Contents of args.config_file=./temp/my_fast_rcnn_R_101_1x_syncbn_scale.yaml: #_BASE_: "../Base-RCNN-FPN.yaml" _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: #$WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" WEIGHTS: "https://hangzh.s3.amazonaws.com/encoding/models/resnest101_detectron-5667c874.pth" MASK_ON: False RESNETS: DEPTH: 101 STRIDE_IN_1X1: False RADIX: 2 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] SOLVER: IMS_PER_BATCH: 16 #16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/18 17:35:07] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 101 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 2 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: False WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: False CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: StandardROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 1000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/new.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/18 17:35:07] detectron2 INFO: Full config saved to ./output/config.yaml [04/18 17:35:07] d2.utils.env INFO: Using a generated random seed 7711908 [04/18 17:35:08] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1_1): Conv2d( 3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_3): Conv2d( 64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=1, stride=1, padding=0) (shortcut): Conv2d( 128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 128, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (6): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (7): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (8): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (9): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (10): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (11): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (12): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (13): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (14): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (15): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (16): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (17): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (18): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (19): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (20): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (21): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (22): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): StandardROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (box_predictor): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=320, bias=True) ) ) ) [04/18 17:35:08] fvcore.common.checkpoint INFO: Loading checkpoint from temp/new.pth [04/18 17:35:09] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/18 17:35:10] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/18 17:35:10] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/18 17:35:10] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/18 17:35:11] d2.evaluation.evaluator INFO: Start inference on 625 images [04/18 17:35:16] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0784 s / img. ETA=0:00:48 [04/18 17:35:21] d2.evaluation.evaluator INFO: Inference done 74/625. 0.0784 s / img. ETA=0:00:44 [04/18 17:35:26] d2.evaluation.evaluator INFO: Inference done 138/625. 0.0780 s / img. ETA=0:00:38 [04/18 17:35:31] d2.evaluation.evaluator INFO: Inference done 201/625. 0.0780 s / img. ETA=0:00:33 [04/18 17:35:36] d2.evaluation.evaluator INFO: Inference done 264/625. 0.0780 s / img. ETA=0:00:28 [04/18 17:35:42] d2.evaluation.evaluator INFO: Inference done 327/625. 0.0781 s / img. ETA=0:00:23 [04/18 17:35:47] d2.evaluation.evaluator INFO: Inference done 388/625. 0.0786 s / img. ETA=0:00:19 [04/18 17:35:52] d2.evaluation.evaluator INFO: Inference done 451/625. 0.0785 s / img. ETA=0:00:13 [04/18 17:35:57] d2.evaluation.evaluator INFO: Inference done 514/625. 0.0785 s / img. ETA=0:00:08 [04/18 17:36:02] d2.evaluation.evaluator INFO: Inference done 577/625. 0.0784 s / img. ETA=0:00:03 [04/18 17:36:06] d2.evaluation.evaluator INFO: Total inference time: 0:00:49.835083 (0.080379 s / img per device, on 8 devices) [04/18 17:36:06] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:48 (0.078415 s / img per device, on 8 devices) [04/18 17:36:08] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/18 17:36:08] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/18 17:36:09] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/18 17:36:50] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 44.716 | 66.110 | 48.496 | 28.557 | 48.657 | 57.072 | [04/18 17:36:50] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:-------|:-------------|:-------|:---------------|:-------| | person | 56.554 | bicycle | 34.601 | car | 46.499 | | motorcycle | 47.494 | airplane | 65.930 | bus | 69.363 | | train | 64.844 | truck | 39.742 | boat | 30.483 | | traffic light | 30.449 | fire hydrant | 70.315 | stop sign | 67.873 | | parking meter | 47.470 | bench | 27.090 | bird | 38.928 | | cat | 70.504 | dog | 66.169 | horse | 60.230 | | sheep | 56.823 | cow | 58.583 | elephant | 64.669 | | bear | 68.113 | zebra | 65.313 | giraffe | 66.885 | | backpack | 18.164 | umbrella | 43.112 | handbag | 18.733 | | tie | 38.862 | suitcase | 44.717 | frisbee | 69.848 | | skis | 28.737 | snowboard | 45.267 | sports ball | 49.197 | | kite | 46.225 | baseball bat | 36.598 | baseball glove | 41.829 | | skateboard | 57.467 | surfboard | 42.700 | tennis racket | 52.318 | | bottle | 43.363 | wine glass | 40.660 | cup | 45.897 | | fork | 40.951 | knife | 25.738 | spoon | 22.259 | | bowl | 43.800 | banana | 26.980 | apple | 22.779 | | sandwich | 38.436 | orange | 31.392 | broccoli | 26.537 | | carrot | 24.441 | hot dog | 36.116 | pizza | 53.827 | | donut | 49.825 | cake | 38.328 | chair | 30.324 | | couch | 43.805 | potted plant | 30.322 | bed | 43.183 | | dining table | 30.185 | toilet | 64.022 | tv | 57.624 | | laptop | 62.752 | mouse | 61.924 | remote | 41.506 | | keyboard | 54.775 | cell phone | 39.843 | microwave | 59.500 | | oven | 36.946 | toaster | 30.475 | sink | 39.490 | | refrigerator | 60.189 | book | 17.438 | clock | 53.186 | | vase | 41.712 | scissors | 32.351 | teddy bear | 49.108 | | hair drier | 6.743 | toothbrush | 29.810 | | | [04/18 17:36:50] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/18 17:36:50] d2.evaluation.testing INFO: copypaste: Task: bbox [04/18 17:36:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/18 17:36:50] d2.evaluation.testing INFO: copypaste: 44.7155,66.1098,48.4962,28.5573,48.6570,57.0721 [04/18 18:32:21] detectron2 INFO: Rank of current process: 0. World size: 8 [04/18 18:32:22] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/18 18:32:22] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_cascade_faster_rcnn_R_50_FPN_syncBN_1x.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/new.pth'], resume=False) [04/18 18:32:22] detectron2 INFO: Contents of args.config_file=./temp/my_cascade_faster_rcnn_R_50_FPN_syncBN_1x.yaml: #_BASE_: "../Base-RCNN-FPN.yaml" _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: #WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" WEIGHTS: "/home/ubuntu/mmdetection/detectron2-new-model/resnet50f_detectron.pth" MASK_ON: False RESNETS: DEPTH: 50 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_HEADS: NAME: CascadeROIHeads ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" CLS_AGNOSTIC_BBOX_REG: True RPN: POST_NMS_TOPK_TRAIN: 2000 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] SOLVER: IMS_PER_BATCH: 16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/18 18:32:22] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 50 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 1 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: True WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: True CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: CascadeROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/new.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/18 18:32:22] detectron2 INFO: Full config saved to ./output/config.yaml [04/18 18:32:22] d2.utils.env INFO: Using a generated random seed 22345183 [04/18 18:32:23] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1): Conv2d( 3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): CascadeROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): ModuleList( (0): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (1): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (2): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) ) (box_predictor): ModuleList( (0): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (1): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (2): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) ) ) ) [04/18 18:32:23] fvcore.common.checkpoint INFO: Loading checkpoint from temp/new.pth [04/18 18:32:24] fvcore.common.checkpoint INFO: Some model parameters are not in the checkpoint: backbone.bottom_up.res4.1.conv2.weight backbone.bottom_up.res5.1.conv2.norm.{running_var, running_mean, bias, weight} backbone.bottom_up.stem.conv1.norm.{weight, bias} backbone.bottom_up.res4.2.conv2.norm.{bias, weight, running_var, running_mean} backbone.bottom_up.res3.0.conv2.norm.{running_var, running_mean, bias, weight} backbone.bottom_up.res4.5.conv2.norm.{running_var, running_mean, bias, weight} backbone.bottom_up.res3.3.conv2.norm.{running_var, weight, running_mean, bias} backbone.bottom_up.res4.4.conv2.norm.{bias, weight, running_var, running_mean} backbone.bottom_up.res3.1.conv2.norm.{running_var, running_mean, weight, bias} backbone.bottom_up.res2.2.conv2.weight backbone.bottom_up.res5.2.conv2.norm.{running_var, bias, weight, running_mean} backbone.bottom_up.res4.4.conv2.weight backbone.bottom_up.res2.2.conv2.norm.{weight, bias} backbone.bottom_up.res5.0.conv2.norm.{bias, running_var, weight, running_mean} backbone.bottom_up.res4.3.conv2.norm.{running_var, weight, running_mean, bias} backbone.bottom_up.res3.2.conv2.norm.{running_var, weight, bias, running_mean} backbone.bottom_up.res4.3.conv2.weight backbone.bottom_up.stem.conv1.weight backbone.bottom_up.res4.2.conv2.weight backbone.bottom_up.res4.1.conv2.norm.{running_mean, bias, running_var, weight} backbone.bottom_up.res5.0.conv2.weight backbone.bottom_up.res4.5.conv2.weight backbone.bottom_up.res2.0.conv2.weight backbone.bottom_up.res3.0.conv2.weight backbone.bottom_up.res4.0.conv2.norm.{bias, weight, running_mean, running_var} backbone.bottom_up.res2.1.conv2.norm.{bias, weight} backbone.bottom_up.res5.1.conv2.weight backbone.bottom_up.res2.1.conv2.weight backbone.bottom_up.res2.0.conv2.norm.{weight, bias} backbone.bottom_up.res3.3.conv2.weight backbone.bottom_up.res4.0.conv2.weight backbone.bottom_up.res5.2.conv2.weight backbone.bottom_up.res3.1.conv2.weight backbone.bottom_up.res3.2.conv2.weight [04/18 18:32:24] fvcore.common.checkpoint INFO: The checkpoint contains parameters not used by the model: backbone.bottom_up.stem.conv1_1.weight backbone.bottom_up.stem.conv1_1.norm.{weight, bias, running_mean, running_var} backbone.bottom_up.stem.conv1_2.weight backbone.bottom_up.stem.conv1_2.norm.{weight, bias, running_mean, running_var} backbone.bottom_up.stem.conv1_3.weight backbone.bottom_up.stem.conv1_3.norm.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.0.conv2.conv.weight backbone.bottom_up.res2.0.conv2.fc1.{weight, bias} backbone.bottom_up.res2.0.conv2.bn1.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.0.conv2.fc2.{weight, bias} backbone.bottom_up.res2.0.conv2.bn0.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.1.conv2.conv.weight backbone.bottom_up.res2.1.conv2.fc1.{weight, bias} backbone.bottom_up.res2.1.conv2.bn1.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.1.conv2.fc2.{weight, bias} backbone.bottom_up.res2.1.conv2.bn0.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.2.conv2.conv.weight backbone.bottom_up.res2.2.conv2.fc1.{weight, bias} backbone.bottom_up.res2.2.conv2.bn1.{weight, bias, running_mean, running_var} backbone.bottom_up.res2.2.conv2.fc2.{weight, bias} backbone.bottom_up.res2.2.conv2.bn0.{weight, bias, running_mean, running_var} backbone.bottom_up.res3.0.conv2.conv.weight backbone.bottom_up.res3.0.conv2.fc1.{weight, bias} backbone.bottom_up.res3.0.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.0.conv2.fc2.{weight, bias} backbone.bottom_up.res3.0.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.1.conv2.conv.weight backbone.bottom_up.res3.1.conv2.fc1.{weight, bias} backbone.bottom_up.res3.1.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.1.conv2.fc2.{weight, bias} backbone.bottom_up.res3.1.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.2.conv2.conv.weight backbone.bottom_up.res3.2.conv2.fc1.{weight, bias} backbone.bottom_up.res3.2.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.2.conv2.fc2.{weight, bias} backbone.bottom_up.res3.2.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.3.conv2.conv.weight backbone.bottom_up.res3.3.conv2.fc1.{weight, bias} backbone.bottom_up.res3.3.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res3.3.conv2.fc2.{weight, bias} backbone.bottom_up.res3.3.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.0.conv2.conv.weight backbone.bottom_up.res4.0.conv2.fc1.{weight, bias} backbone.bottom_up.res4.0.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.0.conv2.fc2.{weight, bias} backbone.bottom_up.res4.0.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.1.conv2.conv.weight backbone.bottom_up.res4.1.conv2.fc1.{weight, bias} backbone.bottom_up.res4.1.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.1.conv2.fc2.{weight, bias} backbone.bottom_up.res4.1.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.2.conv2.conv.weight backbone.bottom_up.res4.2.conv2.fc1.{weight, bias} backbone.bottom_up.res4.2.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.2.conv2.fc2.{weight, bias} backbone.bottom_up.res4.2.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.3.conv2.conv.weight backbone.bottom_up.res4.3.conv2.fc1.{weight, bias} backbone.bottom_up.res4.3.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.3.conv2.fc2.{weight, bias} backbone.bottom_up.res4.3.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.4.conv2.conv.weight backbone.bottom_up.res4.4.conv2.fc1.{weight, bias} backbone.bottom_up.res4.4.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.4.conv2.fc2.{weight, bias} backbone.bottom_up.res4.4.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.5.conv2.conv.weight backbone.bottom_up.res4.5.conv2.fc1.{weight, bias} backbone.bottom_up.res4.5.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res4.5.conv2.fc2.{weight, bias} backbone.bottom_up.res4.5.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.0.conv2.conv.weight backbone.bottom_up.res5.0.conv2.fc1.{weight, bias} backbone.bottom_up.res5.0.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.0.conv2.fc2.{weight, bias} backbone.bottom_up.res5.0.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.1.conv2.conv.weight backbone.bottom_up.res5.1.conv2.fc1.{weight, bias} backbone.bottom_up.res5.1.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.1.conv2.fc2.{weight, bias} backbone.bottom_up.res5.1.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.2.conv2.conv.weight backbone.bottom_up.res5.2.conv2.fc1.{weight, bias} backbone.bottom_up.res5.2.conv2.bn1.{weight, bias, running_mean, running_var, num_batches_tracked} backbone.bottom_up.res5.2.conv2.fc2.{weight, bias} backbone.bottom_up.res5.2.conv2.bn0.{weight, bias, running_mean, running_var, num_batches_tracked} [04/18 18:32:24] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/18 18:32:25] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/18 18:32:25] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/18 18:32:25] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/18 18:32:26] d2.evaluation.evaluator INFO: Start inference on 625 images [04/18 18:32:31] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0765 s / img. ETA=0:00:47 [04/18 18:32:36] d2.evaluation.evaluator INFO: Inference done 74/625. 0.0776 s / img. ETA=0:00:43 [04/18 18:32:41] d2.evaluation.evaluator INFO: Inference done 138/625. 0.0773 s / img. ETA=0:00:38 [04/18 18:32:46] d2.evaluation.evaluator INFO: Inference done 199/625. 0.0782 s / img. ETA=0:00:34 [04/18 18:32:51] d2.evaluation.evaluator INFO: Inference done 262/625. 0.0781 s / img. ETA=0:00:28 [04/18 18:32:56] d2.evaluation.evaluator INFO: Inference done 326/625. 0.0779 s / img. ETA=0:00:23 [04/18 18:33:01] d2.evaluation.evaluator INFO: Inference done 389/625. 0.0779 s / img. ETA=0:00:18 [04/18 18:33:06] d2.evaluation.evaluator INFO: Inference done 453/625. 0.0778 s / img. ETA=0:00:13 [04/18 18:33:11] d2.evaluation.evaluator INFO: Inference done 516/625. 0.0778 s / img. ETA=0:00:08 [04/18 18:33:16] d2.evaluation.evaluator INFO: Inference done 579/625. 0.0778 s / img. ETA=0:00:03 [04/18 18:33:20] d2.evaluation.evaluator INFO: Total inference time: 0:00:49.675112 (0.080121 s / img per device, on 8 devices) [04/18 18:33:20] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:48 (0.078022 s / img per device, on 8 devices) [04/18 18:33:22] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/18 18:33:22] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/18 18:33:22] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/18 18:33:35] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:-----:|:------:|:------:|:-----:|:-----:|:-----:| | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | [04/18 18:33:35] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:------|:-------------|:------|:---------------|:------| | person | 0.000 | bicycle | 0.000 | car | 0.000 | | motorcycle | 0.000 | airplane | 0.000 | bus | 0.000 | | train | 0.000 | truck | 0.000 | boat | 0.000 | | traffic light | 0.000 | fire hydrant | 0.000 | stop sign | 0.000 | | parking meter | 0.000 | bench | 0.000 | bird | 0.000 | | cat | 0.000 | dog | 0.000 | horse | 0.000 | | sheep | 0.000 | cow | 0.000 | elephant | 0.000 | | bear | 0.000 | zebra | 0.000 | giraffe | 0.000 | | backpack | 0.000 | umbrella | 0.000 | handbag | 0.000 | | tie | 0.000 | suitcase | 0.000 | frisbee | 0.000 | | skis | 0.000 | snowboard | 0.000 | sports ball | 0.000 | | kite | 0.000 | baseball bat | 0.000 | baseball glove | 0.000 | | skateboard | 0.000 | surfboard | 0.000 | tennis racket | 0.000 | | bottle | 0.000 | wine glass | 0.000 | cup | 0.000 | | fork | 0.000 | knife | 0.000 | spoon | 0.000 | | bowl | 0.000 | banana | 0.000 | apple | 0.000 | | sandwich | 0.000 | orange | 0.000 | broccoli | 0.000 | | carrot | 0.000 | hot dog | 0.000 | pizza | 0.000 | | donut | 0.000 | cake | 0.000 | chair | 0.000 | | couch | 0.000 | potted plant | 0.000 | bed | 0.000 | | dining table | 0.000 | toilet | 0.000 | tv | 0.000 | | laptop | 0.000 | mouse | 0.000 | remote | 0.000 | | keyboard | 0.000 | cell phone | 0.000 | microwave | 0.000 | | oven | 0.000 | toaster | 0.000 | sink | 0.000 | | refrigerator | 0.000 | book | 0.000 | clock | 0.000 | | vase | 0.000 | scissors | 0.000 | teddy bear | 0.000 | | hair drier | 0.000 | toothbrush | 0.000 | | | [04/18 18:33:35] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/18 18:33:35] d2.evaluation.testing INFO: copypaste: Task: bbox [04/18 18:33:35] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/18 18:33:35] d2.evaluation.testing INFO: copypaste: 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000 [04/18 18:34:59] detectron2 INFO: Rank of current process: 0. World size: 8 [04/18 18:34:59] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/18 18:34:59] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_cascade_faster_rcnn_R_50_FPN_syncBN_1x.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/new.pth'], resume=False) [04/18 18:34:59] detectron2 INFO: Contents of args.config_file=./temp/my_cascade_faster_rcnn_R_50_FPN_syncBN_1x.yaml: #_BASE_: "../Base-RCNN-FPN.yaml" _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: #WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" WEIGHTS: "/home/ubuntu/mmdetection/detectron2-new-model/resnet50f_detectron.pth" MASK_ON: False RESNETS: DEPTH: 50 STRIDE_IN_1X1: False RADIX: 2 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_HEADS: NAME: CascadeROIHeads ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" CLS_AGNOSTIC_BBOX_REG: True RPN: POST_NMS_TOPK_TRAIN: 2000 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] SOLVER: IMS_PER_BATCH: 16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/18 18:34:59] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 50 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 2 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: False WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: True CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: CascadeROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/new.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/18 18:34:59] detectron2 INFO: Full config saved to ./output/config.yaml [04/18 18:34:59] d2.utils.env INFO: Using a generated random seed 59805074 [04/18 18:35:01] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1_1): Conv2d( 3, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=32, eps=1e-05) ) (conv1_2): Conv2d( 32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=32, eps=1e-05) ) (conv1_3): Conv2d( 32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=1, stride=1, padding=0) (shortcut): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): CascadeROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): ModuleList( (0): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (1): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (2): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) ) (box_predictor): ModuleList( (0): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (1): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (2): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) ) ) ) [04/18 18:35:01] fvcore.common.checkpoint INFO: Loading checkpoint from temp/new.pth [04/18 18:35:02] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/18 18:35:02] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/18 18:35:02] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/18 18:35:02] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/18 18:35:03] d2.evaluation.evaluator INFO: Start inference on 625 images [04/18 18:35:09] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0866 s / img. ETA=0:00:53 [04/18 18:35:14] d2.evaluation.evaluator INFO: Inference done 68/625. 0.0872 s / img. ETA=0:00:49 [04/18 18:35:19] d2.evaluation.evaluator INFO: Inference done 125/625. 0.0869 s / img. ETA=0:00:44 [04/18 18:35:24] d2.evaluation.evaluator INFO: Inference done 182/625. 0.0870 s / img. ETA=0:00:39 [04/18 18:35:29] d2.evaluation.evaluator INFO: Inference done 239/625. 0.0869 s / img. ETA=0:00:34 [04/18 18:35:34] d2.evaluation.evaluator INFO: Inference done 296/625. 0.0870 s / img. ETA=0:00:29 [04/18 18:35:39] d2.evaluation.evaluator INFO: Inference done 353/625. 0.0871 s / img. ETA=0:00:24 [04/18 18:35:44] d2.evaluation.evaluator INFO: Inference done 410/625. 0.0870 s / img. ETA=0:00:19 [04/18 18:35:50] d2.evaluation.evaluator INFO: Inference done 467/625. 0.0871 s / img. ETA=0:00:14 [04/18 18:35:55] d2.evaluation.evaluator INFO: Inference done 522/625. 0.0874 s / img. ETA=0:00:09 [04/18 18:36:00] d2.evaluation.evaluator INFO: Inference done 578/625. 0.0875 s / img. ETA=0:00:04 [04/18 18:36:04] d2.evaluation.evaluator INFO: Total inference time: 0:00:55.586579 (0.089656 s / img per device, on 8 devices) [04/18 18:36:04] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:54 (0.087651 s / img per device, on 8 devices) [04/18 18:36:06] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/18 18:36:06] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/18 18:36:07] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/18 18:36:50] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 45.408 | 63.923 | 48.701 | 28.767 | 48.693 | 58.429 | [04/18 18:36:50] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:-------|:-------------|:-------|:---------------|:-------| | person | 58.624 | bicycle | 32.908 | car | 48.271 | | motorcycle | 46.440 | airplane | 68.067 | bus | 68.425 | | train | 66.699 | truck | 38.693 | boat | 30.799 | | traffic light | 31.221 | fire hydrant | 71.224 | stop sign | 70.503 | | parking meter | 49.486 | bench | 27.713 | bird | 38.792 | | cat | 74.579 | dog | 67.272 | horse | 60.823 | | sheep | 55.491 | cow | 61.081 | elephant | 67.356 | | bear | 73.520 | zebra | 69.968 | giraffe | 71.867 | | backpack | 15.444 | umbrella | 42.920 | handbag | 17.072 | | tie | 38.259 | suitcase | 44.097 | frisbee | 70.688 | | skis | 28.861 | snowboard | 41.994 | sports ball | 51.488 | | kite | 48.666 | baseball bat | 38.565 | baseball glove | 40.780 | | skateboard | 58.474 | surfboard | 43.512 | tennis racket | 52.613 | | bottle | 44.289 | wine glass | 39.766 | cup | 47.769 | | fork | 41.927 | knife | 26.748 | spoon | 21.343 | | bowl | 44.505 | banana | 27.732 | apple | 21.735 | | sandwich | 36.654 | orange | 30.908 | broccoli | 24.763 | | carrot | 25.473 | hot dog | 34.539 | pizza | 54.644 | | donut | 51.431 | cake | 40.581 | chair | 30.304 | | couch | 42.850 | potted plant | 28.514 | bed | 47.883 | | dining table | 31.143 | toilet | 65.346 | tv | 60.449 | | laptop | 63.218 | mouse | 63.567 | remote | 40.392 | | keyboard | 52.342 | cell phone | 39.867 | microwave | 61.073 | | oven | 36.082 | toaster | 34.250 | sink | 40.465 | | refrigerator | 59.283 | book | 16.998 | clock | 54.235 | | vase | 41.122 | scissors | 35.154 | teddy bear | 52.487 | | hair drier | 4.950 | toothbrush | 32.600 | | | [04/18 18:36:51] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/18 18:36:51] d2.evaluation.testing INFO: copypaste: Task: bbox [04/18 18:36:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/18 18:36:51] d2.evaluation.testing INFO: copypaste: 45.4079,63.9231,48.7010,28.7674,48.6927,58.4289 [04/19 07:53:03] detectron2 INFO: Rank of current process: 0. World size: 8 [04/19 07:53:03] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/19 07:53:03] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_cascade_faster_rcnn_R_101_FPN_syncBN_1x.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/new.pth'], resume=False) [04/19 07:53:03] detectron2 INFO: Contents of args.config_file=./temp/my_cascade_faster_rcnn_R_101_FPN_syncBN_1x.yaml: #_BASE_: "../Base-RCNN-FPN.yaml" _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: WEIGHTS: "https://hangzh.s3-us-west-1.amazonaws.com/encoding/models/resnest50_detectron-255b5649.pth" MASK_ON: False RESNETS: DEPTH: 101 STRIDE_IN_1X1: False RADIX: 2 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_HEADS: NAME: CascadeROIHeads ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" CLS_AGNOSTIC_BBOX_REG: True RPN: POST_NMS_TOPK_TRAIN: 2000 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] SOLVER: IMS_PER_BATCH: 16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/19 07:53:03] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 101 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 2 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: False WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: True CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: CascadeROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/new.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/19 07:53:03] detectron2 INFO: Full config saved to ./output/config.yaml [04/19 07:53:03] d2.utils.env INFO: Using a generated random seed 3906316 [04/19 07:53:05] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1_1): Conv2d( 3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv1_3): Conv2d( 64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=1, stride=1, padding=0) (shortcut): Conv2d( 128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 128, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (6): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (7): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (8): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (9): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (10): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (11): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (12): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (13): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (14): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (15): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (16): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (17): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (18): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (19): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (20): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (21): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (22): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): CascadeROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): ModuleList( (0): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (1): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (2): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) ) (box_predictor): ModuleList( (0): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (1): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (2): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) ) ) ) [04/19 07:53:05] fvcore.common.checkpoint INFO: Loading checkpoint from temp/new.pth [04/19 07:53:07] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/19 07:53:07] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/19 07:53:07] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/19 07:53:07] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/19 07:53:08] d2.evaluation.evaluator INFO: Start inference on 625 images [04/19 07:53:14] d2.evaluation.evaluator INFO: Inference done 11/625. 0.1063 s / img. ETA=0:01:05 [04/19 07:53:19] d2.evaluation.evaluator INFO: Inference done 58/625. 0.1069 s / img. ETA=0:01:01 [04/19 07:53:24] d2.evaluation.evaluator INFO: Inference done 105/625. 0.1063 s / img. ETA=0:00:56 [04/19 07:53:29] d2.evaluation.evaluator INFO: Inference done 152/625. 0.1064 s / img. ETA=0:00:51 [04/19 07:53:34] d2.evaluation.evaluator INFO: Inference done 199/625. 0.1063 s / img. ETA=0:00:45 [04/19 07:53:39] d2.evaluation.evaluator INFO: Inference done 246/625. 0.1064 s / img. ETA=0:00:40 [04/19 07:53:44] d2.evaluation.evaluator INFO: Inference done 293/625. 0.1063 s / img. ETA=0:00:35 [04/19 07:53:50] d2.evaluation.evaluator INFO: Inference done 340/625. 0.1068 s / img. ETA=0:00:30 [04/19 07:53:55] d2.evaluation.evaluator INFO: Inference done 387/625. 0.1068 s / img. ETA=0:00:25 [04/19 07:54:00] d2.evaluation.evaluator INFO: Inference done 434/625. 0.1067 s / img. ETA=0:00:20 [04/19 07:54:05] d2.evaluation.evaluator INFO: Inference done 480/625. 0.1068 s / img. ETA=0:00:15 [04/19 07:54:10] d2.evaluation.evaluator INFO: Inference done 527/625. 0.1068 s / img. ETA=0:00:10 [04/19 07:54:15] d2.evaluation.evaluator INFO: Inference done 574/625. 0.1067 s / img. ETA=0:00:05 [04/19 07:54:20] d2.evaluation.evaluator INFO: Inference done 621/625. 0.1067 s / img. ETA=0:00:00 [04/19 07:54:21] d2.evaluation.evaluator INFO: Total inference time: 0:01:07.439183 (0.108773 s / img per device, on 8 devices) [04/19 07:54:21] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:01:06 (0.106731 s / img per device, on 8 devices) [04/19 07:54:23] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/19 07:54:23] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/19 07:54:24] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/19 07:55:05] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 47.508 | 66.056 | 51.349 | 30.249 | 50.962 | 61.231 | [04/19 07:55:05] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:-------|:-------------|:-------|:---------------|:-------| | person | 60.123 | bicycle | 34.951 | car | 49.954 | | motorcycle | 49.136 | airplane | 71.193 | bus | 70.552 | | train | 71.791 | truck | 40.101 | boat | 32.294 | | traffic light | 31.408 | fire hydrant | 72.222 | stop sign | 70.298 | | parking meter | 49.809 | bench | 29.184 | bird | 42.066 | | cat | 76.512 | dog | 69.653 | horse | 62.752 | | sheep | 58.588 | cow | 63.351 | elephant | 69.908 | | bear | 73.065 | zebra | 71.753 | giraffe | 74.048 | | backpack | 17.218 | umbrella | 45.412 | handbag | 19.663 | | tie | 40.615 | suitcase | 47.777 | frisbee | 73.548 | | skis | 30.963 | snowboard | 46.739 | sports ball | 52.287 | | kite | 49.964 | baseball bat | 39.410 | baseball glove | 43.322 | | skateboard | 63.283 | surfboard | 43.452 | tennis racket | 57.301 | | bottle | 45.317 | wine glass | 42.004 | cup | 49.041 | | fork | 45.266 | knife | 27.801 | spoon | 26.628 | | bowl | 45.113 | banana | 28.656 | apple | 25.312 | | sandwich | 41.144 | orange | 32.879 | broccoli | 26.826 | | carrot | 25.494 | hot dog | 41.003 | pizza | 55.735 | | donut | 53.319 | cake | 41.308 | chair | 33.376 | | couch | 44.593 | potted plant | 32.350 | bed | 46.334 | | dining table | 33.053 | toilet | 64.892 | tv | 60.737 | | laptop | 66.446 | mouse | 67.721 | remote | 43.476 | | keyboard | 55.992 | cell phone | 45.062 | microwave | 61.540 | | oven | 37.397 | toaster | 33.557 | sink | 40.488 | | refrigerator | 62.512 | book | 18.981 | clock | 57.020 | | vase | 41.415 | scissors | 39.691 | teddy bear | 54.327 | | hair drier | 6.238 | toothbrush | 34.896 | | | [04/19 07:55:05] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/19 07:55:05] d2.evaluation.testing INFO: copypaste: Task: bbox [04/19 07:55:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/19 07:55:05] d2.evaluation.testing INFO: copypaste: 47.5076,66.0564,51.3485,30.2490,50.9618,61.2314 [04/19 08:49:50] detectron2 INFO: Rank of current process: 0. World size: 8 [04/19 08:49:51] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/19 08:49:51] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_cascade_faster_rcnn_R_50_FPN_syncBN_1x.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/model_final.pth'], resume=False) [04/19 08:49:51] detectron2 INFO: Contents of args.config_file=./temp/my_cascade_faster_rcnn_R_50_FPN_syncBN_1x.yaml: _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" MASK_ON: False RESNETS: DEPTH: 50 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_HEADS: NAME: CascadeROIHeads ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" CLS_AGNOSTIC_BBOX_REG: True RPN: POST_NMS_TOPK_TRAIN: 2000 SOLVER: IMS_PER_BATCH: 16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/19 08:49:51] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [103.53, 116.28, 123.675] PIXEL_STD: [1.0, 1.0, 1.0] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 50 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 1 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: True WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: True CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: CascadeROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/model_final.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/19 08:49:51] detectron2 INFO: Full config saved to ./output/config.yaml [04/19 08:49:51] d2.utils.env INFO: Using a generated random seed 51572442 [04/19 08:49:52] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1): Conv2d( 3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): CascadeROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): ModuleList( (0): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (1): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (2): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) ) (box_predictor): ModuleList( (0): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (1): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (2): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) ) ) ) [04/19 08:49:52] fvcore.common.checkpoint INFO: Loading checkpoint from temp/model_final.pth [04/19 08:49:53] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/19 08:49:54] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/19 08:49:54] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/19 08:49:54] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/19 08:49:55] d2.evaluation.evaluator INFO: Start inference on 625 images [04/19 08:50:01] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0782 s / img. ETA=0:00:48 [04/19 08:50:06] d2.evaluation.evaluator INFO: Inference done 74/625. 0.0785 s / img. ETA=0:00:44 [04/19 08:50:11] d2.evaluation.evaluator INFO: Inference done 138/625. 0.0780 s / img. ETA=0:00:38 [04/19 08:50:16] d2.evaluation.evaluator INFO: Inference done 202/625. 0.0777 s / img. ETA=0:00:33 [04/19 08:50:21] d2.evaluation.evaluator INFO: Inference done 266/625. 0.0776 s / img. ETA=0:00:28 [04/19 08:50:26] d2.evaluation.evaluator INFO: Inference done 330/625. 0.0775 s / img. ETA=0:00:23 [04/19 08:50:31] d2.evaluation.evaluator INFO: Inference done 394/625. 0.0775 s / img. ETA=0:00:18 [04/19 08:50:36] d2.evaluation.evaluator INFO: Inference done 458/625. 0.0775 s / img. ETA=0:00:13 [04/19 08:50:41] d2.evaluation.evaluator INFO: Inference done 520/625. 0.0777 s / img. ETA=0:00:08 [04/19 08:50:46] d2.evaluation.evaluator INFO: Inference done 584/625. 0.0777 s / img. ETA=0:00:03 [04/19 08:50:49] d2.evaluation.evaluator INFO: Total inference time: 0:00:49.407887 (0.079690 s / img per device, on 8 devices) [04/19 08:50:49] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:48 (0.077744 s / img per device, on 8 devices) [04/19 08:50:52] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/19 08:50:52] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/19 08:50:53] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/19 08:51:41] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 42.516 | 59.952 | 46.153 | 24.775 | 45.741 | 55.486 | [04/19 08:51:41] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:-------|:-------------|:-------|:---------------|:-------| | person | 57.678 | bicycle | 32.560 | car | 46.292 | | motorcycle | 44.400 | airplane | 68.328 | bus | 66.725 | | train | 64.161 | truck | 36.063 | boat | 28.359 | | traffic light | 29.076 | fire hydrant | 69.257 | stop sign | 69.852 | | parking meter | 46.717 | bench | 23.593 | bird | 38.111 | | cat | 72.840 | dog | 61.356 | horse | 59.094 | | sheep | 50.838 | cow | 57.437 | elephant | 63.199 | | bear | 72.174 | zebra | 69.789 | giraffe | 69.283 | | backpack | 14.524 | umbrella | 40.749 | handbag | 13.949 | | tie | 36.729 | suitcase | 37.836 | frisbee | 64.102 | | skis | 24.139 | snowboard | 40.560 | sports ball | 47.868 | | kite | 44.994 | baseball bat | 31.563 | baseball glove | 36.293 | | skateboard | 52.179 | surfboard | 38.969 | tennis racket | 47.095 | | bottle | 41.102 | wine glass | 37.143 | cup | 42.390 | | fork | 34.037 | knife | 18.751 | spoon | 18.287 | | bowl | 43.079 | banana | 26.262 | apple | 20.156 | | sandwich | 35.794 | orange | 30.345 | broccoli | 23.088 | | carrot | 22.730 | hot dog | 31.317 | pizza | 52.209 | | donut | 43.424 | cake | 35.288 | chair | 26.921 | | couch | 42.993 | potted plant | 26.273 | bed | 44.535 | | dining table | 29.520 | toilet | 62.012 | tv | 57.294 | | laptop | 60.662 | mouse | 62.590 | remote | 32.864 | | keyboard | 53.095 | cell phone | 37.648 | microwave | 58.381 | | oven | 33.749 | toaster | 37.893 | sink | 37.593 | | refrigerator | 57.696 | book | 16.224 | clock | 51.524 | | vase | 38.186 | scissors | 28.799 | teddy bear | 49.782 | | hair drier | 0.000 | toothbrush | 30.877 | | | [04/19 08:51:41] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/19 08:51:41] d2.evaluation.testing INFO: copypaste: Task: bbox [04/19 08:51:41] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/19 08:51:41] d2.evaluation.testing INFO: copypaste: 42.5156,59.9524,46.1530,24.7746,45.7413,55.4864 [04/19 09:13:09] detectron2 INFO: Rank of current process: 0. World size: 8 [04/19 09:13:10] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/19 09:13:10] detectron2 INFO: Command line arguments: Namespace(config_file='./temp/my_cascade_faster_rcnn_R_101_FPN_syncBN_1x.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=True, machine_rank=0, num_gpus=8, num_machines=1, opts=['MODEL.WEIGHTS', 'temp/model_final.pth'], resume=False) [04/19 09:13:10] detectron2 INFO: Contents of args.config_file=./temp/my_cascade_faster_rcnn_R_101_FPN_syncBN_1x.yaml: _BASE_: "../configs/Base-RCNN-FPN.yaml" MODEL: WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-101.pkl" MASK_ON: False RESNETS: DEPTH: 101 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_HEADS: NAME: CascadeROIHeads ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" CLS_AGNOSTIC_BBOX_REG: True RPN: POST_NMS_TOPK_TRAIN: 2000 SOLVER: IMS_PER_BATCH: 16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/19 09:13:10] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [103.53, 116.28, 123.675] PIXEL_STD: [1.0, 1.0, 1.0] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 101 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 1 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: True WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: True CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: CascadeROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: temp/model_final.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/19 09:13:10] detectron2 INFO: Full config saved to ./output/config.yaml [04/19 09:13:10] d2.utils.env INFO: Using a generated random seed 10655738 [04/19 09:13:12] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1): Conv2d( 3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): Conv2d( 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (6): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (7): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (8): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (9): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (10): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (11): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (12): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (13): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (14): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (15): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (16): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (17): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (18): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (19): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (20): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (21): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (22): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(2, 2), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): CascadeROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): ModuleList( (0): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (1): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (2): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) ) (box_predictor): ModuleList( (0): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (1): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) (2): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) ) ) ) ) [04/19 09:13:12] fvcore.common.checkpoint INFO: Loading checkpoint from temp/model_final.pth [04/19 09:13:13] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/19 09:13:14] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/19 09:13:14] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/19 09:13:14] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/19 09:13:15] d2.evaluation.evaluator INFO: Start inference on 625 images [04/19 09:13:20] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0888 s / img. ETA=0:00:55 [04/19 09:13:25] d2.evaluation.evaluator INFO: Inference done 65/625. 0.0909 s / img. ETA=0:00:51 [04/19 09:13:30] d2.evaluation.evaluator INFO: Inference done 120/625. 0.0903 s / img. ETA=0:00:46 [04/19 09:13:35] d2.evaluation.evaluator INFO: Inference done 175/625. 0.0904 s / img. ETA=0:00:41 [04/19 09:13:41] d2.evaluation.evaluator INFO: Inference done 230/625. 0.0903 s / img. ETA=0:00:36 [04/19 09:13:46] d2.evaluation.evaluator INFO: Inference done 285/625. 0.0904 s / img. ETA=0:00:31 [04/19 09:13:51] d2.evaluation.evaluator INFO: Inference done 340/625. 0.0904 s / img. ETA=0:00:26 [04/19 09:13:56] d2.evaluation.evaluator INFO: Inference done 395/625. 0.0904 s / img. ETA=0:00:21 [04/19 09:14:01] d2.evaluation.evaluator INFO: Inference done 448/625. 0.0908 s / img. ETA=0:00:16 [04/19 09:14:06] d2.evaluation.evaluator INFO: Inference done 502/625. 0.0909 s / img. ETA=0:00:11 [04/19 09:14:11] d2.evaluation.evaluator INFO: Inference done 557/625. 0.0908 s / img. ETA=0:00:06 [04/19 09:14:16] d2.evaluation.evaluator INFO: Inference done 612/625. 0.0908 s / img. ETA=0:00:01 [04/19 09:14:17] d2.evaluation.evaluator INFO: Total inference time: 0:00:57.571153 (0.092857 s / img per device, on 8 devices) [04/19 09:14:17] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:56 (0.090865 s / img per device, on 8 devices) [04/19 09:14:20] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/19 09:14:20] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/19 09:14:21] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/19 09:15:07] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 44.033 | 61.658 | 47.749 | 27.439 | 47.200 | 58.081 | [04/19 09:15:07] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:-------|:-------------|:-------|:---------------|:-------| | person | 58.398 | bicycle | 33.931 | car | 47.498 | | motorcycle | 47.067 | airplane | 70.008 | bus | 68.869 | | train | 67.225 | truck | 39.741 | boat | 29.168 | | traffic light | 29.019 | fire hydrant | 69.983 | stop sign | 70.739 | | parking meter | 48.670 | bench | 25.560 | bird | 39.658 | | cat | 72.809 | dog | 65.620 | horse | 60.935 | | sheep | 55.274 | cow | 60.221 | elephant | 66.574 | | bear | 70.902 | zebra | 69.545 | giraffe | 71.475 | | backpack | 16.249 | umbrella | 40.484 | handbag | 16.091 | | tie | 37.574 | suitcase | 42.103 | frisbee | 67.393 | | skis | 26.795 | snowboard | 39.235 | sports ball | 48.380 | | kite | 46.520 | baseball bat | 30.977 | baseball glove | 38.338 | | skateboard | 54.537 | surfboard | 40.501 | tennis racket | 51.310 | | bottle | 42.191 | wine glass | 37.333 | cup | 44.193 | | fork | 39.807 | knife | 21.222 | spoon | 20.060 | | bowl | 44.427 | banana | 26.365 | apple | 23.517 | | sandwich | 38.348 | orange | 33.757 | broccoli | 22.324 | | carrot | 23.170 | hot dog | 33.413 | pizza | 53.397 | | donut | 49.267 | cake | 36.043 | chair | 28.744 | | couch | 45.035 | potted plant | 29.053 | bed | 45.016 | | dining table | 30.587 | toilet | 61.450 | tv | 57.793 | | laptop | 62.579 | mouse | 62.445 | remote | 35.712 | | keyboard | 52.084 | cell phone | 37.903 | microwave | 55.458 | | oven | 36.054 | toaster | 48.185 | sink | 38.859 | | refrigerator | 58.859 | book | 18.098 | clock | 53.234 | | vase | 38.999 | scissors | 26.237 | teddy bear | 47.720 | | hair drier | 0.000 | toothbrush | 28.294 | | | [04/19 09:15:08] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/19 09:15:08] d2.evaluation.testing INFO: copypaste: Task: bbox [04/19 09:15:08] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/19 09:15:08] d2.evaluation.testing INFO: copypaste: 44.0326,61.6583,47.7489,27.4391,47.1997,58.0813 [04/19 10:01:46] detectron2 INFO: Rank of current process: 0. World size: 8 [04/19 10:01:55] detectron2 INFO: Environment info: ------------------------ ---------------------------------------------------------------------------------- sys.platform linux Python 3.7.7 (default, Mar 26 2020, 15:48:22) [GCC 7.3.0] numpy 1.18.1 detectron2 0.1.1 @/home/ubuntu/mmdetection/detectron2-ResNeSt/detectron2 detectron2 compiler GCC 5.4 detectron2 CUDA compiler 10.0 detectron2 arch flags sm_70 DETECTRON2_ENV_MODULE PyTorch 1.4.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torch PyTorch debug build False CUDA available True GPU 0,1,2,3,4,5,6,7 Tesla V100-SXM2-16GB CUDA_HOME /usr/local/cuda NVCC Cuda compilation tools, release 10.0, V10.0.130 Pillow 7.0.0 torchvision 0.5.0 @/home/ubuntu/anaconda3/envs/release/lib/python3.7/site-packages/torchvision torchvision arch flags sm_35, sm_50, sm_60, sm_70, sm_75 ------------------------ ---------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CUDA Runtime 10.0 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.1 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, [04/19 10:01:55] detectron2 INFO: Command line arguments: Namespace(config_file='configs/COCO-Detection/faster_rcnn_ResNeSt_50_FPN_1x.yaml', dist_url='tcp://127.0.0.1:50152', eval_only=False, machine_rank=0, num_gpus=8, num_machines=1, opts=[], resume=False) [04/19 10:01:55] detectron2 INFO: Contents of args.config_file=configs/COCO-Detection/faster_rcnn_ResNeSt_50_FPN_1x.yaml: _BASE_: "../Base-RCNN-FPN.yaml" MODEL: WEIGHTS: "https://hangzh.s3-us-west-1.amazonaws.com/encoding/models/resnest50_detectron-255b5649.pth" #"detectron2://ImageNetPretrained/MSRA/R-50.pkl" MASK_ON: False RESNETS: DEPTH: 50 STRIDE_IN_1X1: False RADIX: 2 NORM: "SyncBN" FPN: NORM: "SyncBN" ROI_BOX_HEAD: NAME: "FastRCNNConvFCHead" NUM_CONV: 4 NUM_FC: 1 NORM: "SyncBN" PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] SOLVER: IMS_PER_BATCH: 16 #16 BASE_LR: 0.02 #original:0.02 INPUT: MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: "range" MAX_SIZE_TRAIN: 1333 FORMAT: "RGB" TEST: PRECISE_BN: ENABLED: True [04/19 10:01:55] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: False DATALOADER: ASPECT_RATIO_GROUPING: True FILTER_EMPTY_ANNOTATIONS: True NUM_WORKERS: 4 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: () PROPOSAL_FILES_TRAIN: () TEST: ('coco_2017_val',) TRAIN: ('coco_2017_train',) GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: False SIZE: [0.9, 0.9] TYPE: relative_range FORMAT: RGB MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: (640, 800) MIN_SIZE_TRAIN_SAMPLING: range MODEL: ANCHOR_GENERATOR: ANGLES: [[-90, 0, 90]] ASPECT_RATIOS: [[0.5, 1.0, 2.0]] NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: [[32], [64], [128], [256], [512]] BACKBONE: FREEZE_AT: 2 NAME: build_resnet_fpn_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: ['res2', 'res3', 'res4', 'res5'] NORM: SyncBN OUT_CHANNELS: 256 KEYPOINT_ON: False LOAD_PROPOSALS: False MASK_ON: False META_ARCHITECTURE: GeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: True INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: [123.68, 116.779, 103.939] PIXEL_STD: [58.393, 57.12, 57.375] PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: RPN RESNETS: AVD: False AVG_DOWN: False BOTTLENECK_WIDTH: 64 DEEP_STEM: False DEFORM_MODULATED: False DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: [False, False, False, False] DEPTH: 50 NORM: SyncBN NUM_GROUPS: 1 OUT_FEATURES: ['res2', 'res3', 'res4', 'res5'] RADIX: 2 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: False WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: ['p3', 'p4', 'p5', 'p6', 'p7'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.4, 0.5] NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: ((10.0, 10.0, 5.0, 5.0), (20.0, 20.0, 10.0, 10.0), (30.0, 30.0, 15.0, 15.0)) IOUS: (0.5, 0.6, 0.7) ROI_BOX_HEAD: BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) CLS_AGNOSTIC_BBOX_REG: False CONV_DIM: 256 FC_DIM: 1024 NAME: FastRCNNConvFCHead NORM: SyncBN NUM_CONV: 4 NUM_FC: 1 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: False ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] IOU_LABELS: [0, 1] IOU_THRESHOLDS: [0.5] NAME: StandardROIHeads NMS_THRESH_TEST: 0.5 NUM_CLASSES: 80 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: True SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: (512, 512, 512, 512, 512, 512, 512, 512) LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: True NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: False CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: NUM_CONV: 4 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_WEIGHTS: (1.0, 1.0, 1.0, 1.0) BOUNDARY_THRESH: -1 HEAD_NAME: StandardRPNHead IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6'] IOU_LABELS: [0, -1, 1] IOU_THRESHOLDS: [0.3, 0.7] LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 1000 PRE_NMS_TOPK_TEST: 1000 PRE_NMS_TOPK_TRAIN: 2000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: ['p2', 'p3', 'p4', 'p5'] LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 WEIGHTS: https://hangzh.s3-us-west-1.amazonaws.com/encoding/models/resnest50_detectron-255b5649.pth OUTPUT_DIR: ./output SEED: -1 SOLVER: BASE_LR: 0.02 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 5000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: False NORM_TYPE: 2.0 GAMMA: 0.1 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 90000 MOMENTUM: 0.9 STEPS: (60000, 80000) WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: False FLIP: True MAX_SIZE: 4000 MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200) DETECTIONS_PER_IMAGE: 100 EVAL_PERIOD: 0 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: True NUM_ITER: 200 VERSION: 2 VIS_PERIOD: 0 [04/19 10:01:55] detectron2 INFO: Full config saved to ./output/config.yaml [04/19 10:01:55] d2.utils.env INFO: Using a generated random seed 55845489 [04/19 10:01:58] d2.engine.defaults INFO: Model: GeneralizedRCNN( (backbone): FPN( (fpn_lateral2): Conv2d( 256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral3): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral4): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_lateral5): Conv2d( 2048, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fpn_output5): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (top_block): LastLevelMaxPool() (bottom_up): ResNet( (stem): BasicStem( (conv1_1): Conv2d( 3, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=32, eps=1e-05) ) (conv1_2): Conv2d( 32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=32, eps=1e-05) ) (conv1_3): Conv2d( 32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) ) (res2): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=1, stride=1, padding=0) (shortcut): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) (conv1): Conv2d( 64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (1): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) (2): BottleneckBlock( (conv1): Conv2d( 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05) ) (conv2): SplAtConv2d( (conv): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): FrozenBatchNorm2d(num_features=128, eps=1e-05) (relu): ReLU(inplace=True) (fc1): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1)) (bn1): FrozenBatchNorm2d(num_features=32, eps=1e-05) (fc2): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05) ) ) ) (res3): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 256, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res4): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (3): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (4): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (5): BottleneckBlock( (conv1): Conv2d( 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) (res5): Sequential( (0): BottleneckBlock( (shortcut_avgpool): AvgPool2d(kernel_size=2, stride=2, padding=0) (shortcut): Conv2d( 1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv1): Conv2d( 1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (avd_layer): AvgPool2d(kernel_size=3, stride=2, padding=1) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (2): BottleneckBlock( (conv1): Conv2d( 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): SplAtConv2d( (conv): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2, bias=False) (bn0): NaiveSyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (fc1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) (bn1): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (conv3): Conv2d( 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False (norm): NaiveSyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) ) ) ) (proposal_generator): RPN( (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) (rpn_head): StandardRPNHead( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (objectness_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1)) ) ) (roi_heads): StandardROIHeads( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.25, sampling_ratio=0, aligned=True) (1): ROIAlign(output_size=(7, 7), spatial_scale=0.125, sampling_ratio=0, aligned=True) (2): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) (3): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (conv1): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv2): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv3): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (conv4): Conv2d( 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False (norm): NaiveSyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (fc1): Linear(in_features=12544, out_features=1024, bias=True) ) (box_predictor): FastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=81, bias=True) (bbox_pred): Linear(in_features=1024, out_features=320, bias=True) ) ) ) [04/19 10:04:19] d2.data.datasets.coco INFO: Loading datasets/coco/annotations/instances_train2017.json takes 141.53 seconds. [04/19 10:04:22] d2.data.datasets.coco INFO: Loaded 118287 images in COCO format from datasets/coco/annotations/instances_train2017.json [04/19 10:04:29] d2.data.build INFO: Removed 1021 images with no usable annotations. 117266 images left. [04/19 10:04:34] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 257253 | bicycle | 7056 | car | 43533 | | motorcycle | 8654 | airplane | 5129 | bus | 6061 | | train | 4570 | truck | 9970 | boat | 10576 | | traffic light | 12842 | fire hydrant | 1865 | stop sign | 1983 | | parking meter | 1283 | bench | 9820 | bird | 10542 | | cat | 4766 | dog | 5500 | horse | 6567 | | sheep | 9223 | cow | 8014 | elephant | 5484 | | bear | 1294 | zebra | 5269 | giraffe | 5128 | | backpack | 8714 | umbrella | 11265 | handbag | 12342 | | tie | 6448 | suitcase | 6112 | frisbee | 2681 | | skis | 6623 | snowboard | 2681 | sports ball | 6299 | | kite | 8802 | baseball bat | 3273 | baseball gl.. | 3747 | | skateboard | 5536 | surfboard | 6095 | tennis racket | 4807 | | bottle | 24070 | wine glass | 7839 | cup | 20574 | | fork | 5474 | knife | 7760 | spoon | 6159 | | bowl | 14323 | banana | 9195 | apple | 5776 | | sandwich | 4356 | orange | 6302 | broccoli | 7261 | | carrot | 7758 | hot dog | 2884 | pizza | 5807 | | donut | 7005 | cake | 6296 | chair | 38073 | | couch | 5779 | potted plant | 8631 | bed | 4192 | | dining table | 15695 | toilet | 4149 | tv | 5803 | | laptop | 4960 | mouse | 2261 | remote | 5700 | | keyboard | 2854 | cell phone | 6422 | microwave | 1672 | | oven | 3334 | toaster | 225 | sink | 5609 | | refrigerator | 2634 | book | 24077 | clock | 6320 | | vase | 6577 | scissors | 1464 | teddy bear | 4729 | | hair drier | 198 | toothbrush | 1945 | | | | total | 849949 | | | | | [04/19 10:04:34] d2.data.common INFO: Serializing 117266 elements to byte tensors and concatenating them all ... [04/19 10:04:39] d2.data.common INFO: Serialized dataset takes 457.92 MiB [04/19 10:04:39] d2.data.detection_utils INFO: TransformGens used in training: [ResizeShortestEdge(short_edge_length=(640, 800), max_size=1333, sample_style='range'), RandomFlip()] [04/19 10:04:39] d2.data.build INFO: Using training sampler TrainingSampler [04/19 10:05:09] d2.data.datasets.coco INFO: Loading datasets/coco/annotations/instances_train2017.json takes 19.61 seconds. [04/19 10:05:10] d2.data.datasets.coco INFO: Loaded 118287 images in COCO format from datasets/coco/annotations/instances_train2017.json [04/19 10:05:19] d2.data.build INFO: Removed 1021 images with no usable annotations. 117266 images left. [04/19 10:05:24] d2.data.common INFO: Serializing 117266 elements to byte tensors and concatenating them all ... [04/19 10:05:30] d2.data.common INFO: Serialized dataset takes 457.92 MiB [04/19 10:05:30] d2.data.detection_utils INFO: TransformGens used in training: [ResizeShortestEdge(short_edge_length=(640, 800), max_size=1333, sample_style='range'), RandomFlip()] [04/19 10:05:30] d2.data.build INFO: Using training sampler TrainingSampler [04/19 10:05:38] fvcore.common.checkpoint INFO: Loading checkpoint from https://hangzh.s3-us-west-1.amazonaws.com/encoding/models/resnest50_detectron-255b5649.pth [04/19 10:05:38] fvcore.common.file_io INFO: URL https://hangzh.s3-us-west-1.amazonaws.com/encoding/models/resnest50_detectron-255b5649.pth cached in /home/ubuntu/.torch/fvcore_cache/encoding/models/resnest50_detectron-255b5649.pth [04/19 10:06:03] fvcore.common.checkpoint INFO: Some model parameters are not in the checkpoint: proposal_generator.rpn_head.anchor_deltas.{weight, bias} backbone.fpn_lateral5.norm.{bias, running_mean, running_var, weight} roi_heads.box_head.conv4.norm.{running_var, bias, running_mean, weight} backbone.fpn_lateral4.norm.{weight, running_mean, running_var, bias} proposal_generator.anchor_generator.cell_anchors.{4, 0, 3, 1, 2} backbone.fpn_output5.norm.{bias, running_var, weight, running_mean} roi_heads.box_head.conv2.norm.{weight, bias, running_mean, running_var} roi_heads.box_head.conv3.norm.{running_var, bias, running_mean, weight} roi_heads.box_predictor.bbox_pred.{weight, bias} roi_heads.box_head.conv1.norm.{running_mean, bias, running_var, weight} backbone.fpn_output4.norm.{bias, running_var, running_mean, weight} backbone.fpn_output3.norm.{bias, running_mean, running_var, weight} backbone.fpn_lateral2.weight backbone.fpn_output5.weight backbone.fpn_output2.norm.{running_mean, weight, running_var, bias} backbone.fpn_lateral2.norm.{running_mean, running_var, weight, bias} backbone.fpn_lateral3.norm.{weight, bias, running_mean, running_var} proposal_generator.rpn_head.objectness_logits.{weight, bias} roi_heads.box_head.conv1.weight backbone.fpn_lateral4.weight backbone.fpn_output3.weight roi_heads.box_predictor.cls_score.{weight, bias} roi_heads.box_head.conv4.weight proposal_generator.rpn_head.conv.{weight, bias} backbone.fpn_output4.weight roi_heads.box_head.fc1.{bias, weight} roi_heads.box_head.conv3.weight backbone.fpn_lateral3.weight backbone.fpn_output2.weight roi_heads.box_head.conv2.weight backbone.fpn_lateral5.weight [04/19 10:06:03] d2.engine.train_loop INFO: Starting training from iteration 0 [04/19 10:06:35] d2.utils.events INFO: eta: 11:13:46 iter: 19 total_loss: 4.558 loss_cls: 3.644 loss_box_reg: 0.030 loss_rpn_cls: 0.703 loss_rpn_loc: 0.134 time: 0.4514 data_time: 0.7390 lr: 0.000400 max_mem: 5339M [04/19 10:06:44] d2.utils.events INFO: eta: 11:08:19 iter: 39 total_loss: 1.169 loss_cls: 0.301 loss_box_reg: 0.022 loss_rpn_cls: 0.684 loss_rpn_loc: 0.155 time: 0.4483 data_time: 0.0083 lr: 0.000799 max_mem: 5339M [04/19 10:06:53] d2.utils.events INFO: eta: 11:09:17 iter: 59 total_loss: 1.118 loss_cls: 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INFO: eta: 0:02:59 iter: 89599 total_loss: 0.451 loss_cls: 0.154 loss_box_reg: 0.207 loss_rpn_cls: 0.025 loss_rpn_loc: 0.071 time: 0.4477 data_time: 0.0088 lr: 0.000200 max_mem: 5483M [04/19 21:18:37] d2.utils.events INFO: eta: 0:02:50 iter: 89619 total_loss: 0.508 loss_cls: 0.183 loss_box_reg: 0.227 loss_rpn_cls: 0.027 loss_rpn_loc: 0.072 time: 0.4477 data_time: 0.0088 lr: 0.000200 max_mem: 5483M [04/19 21:18:45] d2.utils.events INFO: eta: 0:02:41 iter: 89639 total_loss: 0.435 loss_cls: 0.153 loss_box_reg: 0.209 loss_rpn_cls: 0.022 loss_rpn_loc: 0.061 time: 0.4477 data_time: 0.0083 lr: 0.000200 max_mem: 5483M [04/19 21:18:54] d2.utils.events INFO: eta: 0:02:32 iter: 89659 total_loss: 0.431 loss_cls: 0.150 loss_box_reg: 0.208 loss_rpn_cls: 0.019 loss_rpn_loc: 0.061 time: 0.4477 data_time: 0.0090 lr: 0.000200 max_mem: 5483M [04/19 21:19:03] d2.utils.events INFO: eta: 0:02:23 iter: 89679 total_loss: 0.442 loss_cls: 0.159 loss_box_reg: 0.214 loss_rpn_cls: 0.023 loss_rpn_loc: 0.058 time: 0.4477 data_time: 0.0087 lr: 0.000200 max_mem: 5483M [04/19 21:19:12] d2.utils.events INFO: eta: 0:02:14 iter: 89699 total_loss: 0.476 loss_cls: 0.164 loss_box_reg: 0.210 loss_rpn_cls: 0.024 loss_rpn_loc: 0.068 time: 0.4477 data_time: 0.0086 lr: 0.000200 max_mem: 5483M [04/19 21:19:21] d2.utils.events INFO: eta: 0:02:05 iter: 89719 total_loss: 0.480 loss_cls: 0.170 loss_box_reg: 0.222 loss_rpn_cls: 0.021 loss_rpn_loc: 0.068 time: 0.4477 data_time: 0.0088 lr: 0.000200 max_mem: 5483M [04/19 21:19:30] d2.utils.events INFO: eta: 0:01:56 iter: 89739 total_loss: 0.471 loss_cls: 0.163 loss_box_reg: 0.210 loss_rpn_cls: 0.025 loss_rpn_loc: 0.062 time: 0.4477 data_time: 0.0086 lr: 0.000200 max_mem: 5483M [04/19 21:19:39] d2.utils.events INFO: eta: 0:01:47 iter: 89759 total_loss: 0.427 loss_cls: 0.149 loss_box_reg: 0.202 loss_rpn_cls: 0.021 loss_rpn_loc: 0.053 time: 0.4477 data_time: 0.0086 lr: 0.000200 max_mem: 5483M [04/19 21:19:48] d2.utils.events INFO: eta: 0:01:38 iter: 89779 total_loss: 0.478 loss_cls: 0.162 loss_box_reg: 0.227 loss_rpn_cls: 0.022 loss_rpn_loc: 0.072 time: 0.4477 data_time: 0.0084 lr: 0.000200 max_mem: 5483M [04/19 21:19:57] d2.utils.events INFO: eta: 0:01:29 iter: 89799 total_loss: 0.464 loss_cls: 0.168 loss_box_reg: 0.216 loss_rpn_cls: 0.023 loss_rpn_loc: 0.066 time: 0.4477 data_time: 0.0087 lr: 0.000200 max_mem: 5483M [04/19 21:20:06] d2.utils.events INFO: eta: 0:01:20 iter: 89819 total_loss: 0.455 loss_cls: 0.169 loss_box_reg: 0.209 loss_rpn_cls: 0.028 loss_rpn_loc: 0.061 time: 0.4477 data_time: 0.0094 lr: 0.000200 max_mem: 5483M [04/19 21:20:15] d2.utils.events INFO: eta: 0:01:11 iter: 89839 total_loss: 0.450 loss_cls: 0.150 loss_box_reg: 0.198 loss_rpn_cls: 0.019 loss_rpn_loc: 0.056 time: 0.4477 data_time: 0.0090 lr: 0.000200 max_mem: 5483M [04/19 21:20:24] d2.utils.events INFO: eta: 0:01:03 iter: 89859 total_loss: 0.411 loss_cls: 0.134 loss_box_reg: 0.182 loss_rpn_cls: 0.022 loss_rpn_loc: 0.055 time: 0.4477 data_time: 0.0089 lr: 0.000200 max_mem: 5483M [04/19 21:20:34] d2.utils.events INFO: eta: 0:00:54 iter: 89879 total_loss: 0.505 loss_cls: 0.177 loss_box_reg: 0.225 loss_rpn_cls: 0.027 loss_rpn_loc: 0.077 time: 0.4477 data_time: 0.0095 lr: 0.000200 max_mem: 5483M [04/19 21:20:43] d2.utils.events INFO: eta: 0:00:45 iter: 89899 total_loss: 0.428 loss_cls: 0.164 loss_box_reg: 0.209 loss_rpn_cls: 0.024 loss_rpn_loc: 0.057 time: 0.4477 data_time: 0.0091 lr: 0.000200 max_mem: 5483M [04/19 21:20:52] d2.utils.events INFO: eta: 0:00:36 iter: 89919 total_loss: 0.437 loss_cls: 0.149 loss_box_reg: 0.191 loss_rpn_cls: 0.020 loss_rpn_loc: 0.061 time: 0.4477 data_time: 0.0087 lr: 0.000200 max_mem: 5483M [04/19 21:21:01] d2.utils.events INFO: eta: 0:00:27 iter: 89939 total_loss: 0.441 loss_cls: 0.159 loss_box_reg: 0.216 loss_rpn_cls: 0.020 loss_rpn_loc: 0.057 time: 0.4477 data_time: 0.0093 lr: 0.000200 max_mem: 5483M [04/19 21:21:10] d2.utils.events INFO: eta: 0:00:18 iter: 89959 total_loss: 0.483 loss_cls: 0.167 loss_box_reg: 0.206 loss_rpn_cls: 0.023 loss_rpn_loc: 0.067 time: 0.4477 data_time: 0.0091 lr: 0.000200 max_mem: 5483M [04/19 21:21:18] d2.utils.events INFO: eta: 0:00:09 iter: 89979 total_loss: 0.480 loss_cls: 0.169 loss_box_reg: 0.211 loss_rpn_cls: 0.021 loss_rpn_loc: 0.067 time: 0.4477 data_time: 0.0089 lr: 0.000200 max_mem: 5483M [04/19 21:21:27] d2.engine.hooks INFO: Running precise-BN for 200 iterations... Note that this could produce different statistics every time. [04/19 21:21:52] d2.engine.hooks INFO: Running precise-BN ... 100/200 iterations. [04/19 21:22:16] d2.engine.hooks INFO: Running precise-BN ... 200/200 iterations. [04/19 21:22:16] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/model_0089999.pth [04/19 21:22:17] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/model_final.pth [04/19 21:22:21] d2.data.datasets.coco INFO: Loading datasets/coco/annotations/instances_val2017.json takes 3.86 seconds. [04/19 21:22:21] d2.data.datasets.coco INFO: Loaded 5000 images in COCO format from datasets/coco/annotations/instances_val2017.json [04/19 21:22:22] d2.data.build INFO: Distribution of instances among all 80 categories: | category | #instances | category | #instances | category | #instances | |:-------------:|:-------------|:------------:|:-------------|:-------------:|:-------------| | person | 10777 | bicycle | 314 | car | 1918 | | motorcycle | 367 | airplane | 143 | bus | 283 | | train | 190 | truck | 414 | boat | 424 | | traffic light | 634 | fire hydrant | 101 | stop sign | 75 | | parking meter | 60 | bench | 411 | bird | 427 | | cat | 202 | dog | 218 | horse | 272 | | sheep | 354 | cow | 372 | elephant | 252 | | bear | 71 | zebra | 266 | giraffe | 232 | | backpack | 371 | umbrella | 407 | handbag | 540 | | tie | 252 | suitcase | 299 | frisbee | 115 | | skis | 241 | snowboard | 69 | sports ball | 260 | | kite | 327 | baseball bat | 145 | baseball gl.. | 148 | | skateboard | 179 | surfboard | 267 | tennis racket | 225 | | bottle | 1013 | wine glass | 341 | cup | 895 | | fork | 215 | knife | 325 | spoon | 253 | | bowl | 623 | banana | 370 | apple | 236 | | sandwich | 177 | orange | 285 | broccoli | 312 | | carrot | 365 | hot dog | 125 | pizza | 284 | | donut | 328 | cake | 310 | chair | 1771 | | couch | 261 | potted plant | 342 | bed | 163 | | dining table | 695 | toilet | 179 | tv | 288 | | laptop | 231 | mouse | 106 | remote | 283 | | keyboard | 153 | cell phone | 262 | microwave | 55 | | oven | 143 | toaster | 9 | sink | 225 | | refrigerator | 126 | book | 1129 | clock | 267 | | vase | 274 | scissors | 36 | teddy bear | 190 | | hair drier | 11 | toothbrush | 57 | | | | total | 36335 | | | | | [04/19 21:22:22] d2.data.common INFO: Serializing 5000 elements to byte tensors and concatenating them all ... [04/19 21:22:22] d2.data.common INFO: Serialized dataset takes 19.39 MiB [04/19 21:22:23] d2.evaluation.evaluator INFO: Start inference on 625 images [04/19 21:22:28] d2.evaluation.evaluator INFO: Inference done 11/625. 0.0604 s / img. ETA=0:00:37 [04/19 21:22:33] d2.evaluation.evaluator INFO: Inference done 93/625. 0.0596 s / img. ETA=0:00:32 [04/19 21:22:38] d2.evaluation.evaluator INFO: Inference done 176/625. 0.0593 s / img. ETA=0:00:27 [04/19 21:22:43] d2.evaluation.evaluator INFO: Inference done 259/625. 0.0593 s / img. ETA=0:00:22 [04/19 21:22:48] d2.evaluation.evaluator INFO: Inference done 337/625. 0.0602 s / img. ETA=0:00:17 [04/19 21:22:53] d2.evaluation.evaluator INFO: Inference done 420/625. 0.0599 s / img. ETA=0:00:12 [04/19 21:22:58] d2.evaluation.evaluator INFO: Inference done 500/625. 0.0599 s / img. ETA=0:00:07 [04/19 21:23:03] d2.evaluation.evaluator INFO: Inference done 583/625. 0.0598 s / img. ETA=0:00:02 [04/19 21:23:06] d2.evaluation.evaluator INFO: Total inference time: 0:00:38.471779 (0.062051 s / img per device, on 8 devices) [04/19 21:23:06] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:37 (0.059779 s / img per device, on 8 devices) [04/19 21:23:08] d2.evaluation.coco_evaluation INFO: Preparing results for COCO format ... [04/19 21:23:08] d2.evaluation.coco_evaluation INFO: Saving results to ./output/inference/coco_instances_results.json [04/19 21:23:09] d2.evaluation.coco_evaluation INFO: Evaluating predictions ... [04/19 21:23:53] d2.evaluation.coco_evaluation INFO: Evaluation results for bbox: | AP | AP50 | AP75 | APs | APm | APl | |:------:|:------:|:------:|:------:|:------:|:------:| | 42.389 | 63.727 | 46.024 | 26.248 | 45.879 | 54.241 | [04/19 21:23:53] d2.evaluation.coco_evaluation INFO: Per-category bbox AP: | category | AP | category | AP | category | AP | |:--------------|:-------|:-------------|:-------|:---------------|:-------| | person | 55.169 | bicycle | 31.101 | car | 44.570 | | motorcycle | 44.501 | airplane | 64.258 | bus | 65.554 | | train | 60.996 | truck | 36.444 | boat | 27.836 | | traffic light | 28.269 | fire hydrant | 69.832 | stop sign | 66.446 | | parking meter | 46.743 | bench | 24.965 | bird | 37.939 | | cat | 65.335 | dog | 64.075 | horse | 60.602 | | sheep | 51.345 | cow | 55.214 | elephant | 64.671 | | bear | 67.695 | zebra | 65.241 | giraffe | 66.971 | | backpack | 14.297 | umbrella | 39.895 | handbag | 16.508 | | tie | 34.980 | suitcase | 39.937 | frisbee | 67.448 | | skis | 25.466 | snowboard | 42.347 | sports ball | 49.106 | | kite | 43.558 | baseball bat | 37.755 | baseball glove | 38.683 | | skateboard | 54.345 | surfboard | 42.121 | tennis racket | 49.905 | | bottle | 39.710 | wine glass | 37.518 | cup | 44.088 | | fork | 38.701 | knife | 20.356 | spoon | 19.930 | | bowl | 43.037 | banana | 21.928 | apple | 20.905 | | sandwich | 34.244 | orange | 30.696 | broccoli | 25.024 | | carrot | 23.077 | hot dog | 32.853 | pizza | 52.206 | | donut | 44.882 | cake | 37.592 | chair | 27.783 | | couch | 40.350 | potted plant | 28.599 | bed | 42.044 | | dining table | 27.545 | toilet | 59.630 | tv | 56.141 | | laptop | 61.076 | mouse | 61.590 | remote | 37.545 | | keyboard | 51.438 | cell phone | 36.038 | microwave | 56.228 | | oven | 33.275 | toaster | 25.968 | sink | 37.513 | | refrigerator | 56.007 | book | 16.507 | clock | 53.551 | | vase | 38.328 | scissors | 30.742 | teddy bear | 46.903 | | hair drier | 6.386 | toothbrush | 31.066 | | | [04/19 21:23:54] d2.engine.defaults INFO: Evaluation results for coco_2017_val in csv format: [04/19 21:23:54] d2.evaluation.testing INFO: copypaste: Task: bbox [04/19 21:23:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl [04/19 21:23:54] d2.evaluation.testing INFO: copypaste: 42.3890,63.7270,46.0242,26.2481,45.8789,54.2413 [04/19 21:23:54] d2.utils.events INFO: eta: 0:00:00 iter: 89999 total_loss: 0.454 loss_cls: 0.153 loss_box_reg: 0.202 loss_rpn_cls: 0.023 loss_rpn_loc: 0.058 time: 0.4477 data_time: 0.0093 lr: 0.000200 max_mem: 5483M [04/19 21:23:54] d2.engine.hooks INFO: Overall training speed: 89997 iterations in 11:11:31 (0.4477 s / it) [04/19 21:23:54] d2.engine.hooks INFO: Total training time: 11:17:27 (0:05:55 on hooks)