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unit: def convert_cityscapes_instance_only()
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unit: def eval_net()
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id: 8
unit: void pre_calc_for_bilinear_interpolate()
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id: 9
unit: void ROIAlignForward_cpu_kernel()
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unit: def forward()
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unit: def __init__()
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unit: def forward_for_single_feature_map()
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unit: def create_mapillary_vistas_label_colormap()
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unit: def train()
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unit: def forward()
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unit: def forward()
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unit: def forward()
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id: 20
unit: def calc_detection_voc_prec_rec()
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unit: def make_data_loader()
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unit: def save_path_formatter()
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unit: def log_every()
file: Segmentation/utils.py
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id: 26
unit: at::Tensor nms_cpu_kernel()
file: MaskRCNN/pytorch/maskrcnn_benchmark/csrc/cpu/nms_cpu.cpp
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unit: def __init__()
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id: 28
unit: def __init__()
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unit: def forward()
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unit: def __init__()
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unit: def train()
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unit: def parse_args()
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unit: def forward()
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unit: def __init__()
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unit: def forward()
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unit: def forward()
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unit: def __init__()
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unit: def forward()
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id: 39
unit: def test_model()
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id: 40
unit: def conv_with_kaiming_uniform()
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unit: def __init__()
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id: 42
unit: def __init__()
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id: 43
unit: def forward()
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unit: def __init__()
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id: 45
unit: def _segm_resnet()
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id: 46
unit: def main()
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id: 47
unit: def _rename_basic_resnet_weights()
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unit: def __init__()
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unit: def __init__()
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id: 50
unit: def forward()
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id: 51
unit: def validate()
file: Classification/main_imagenet.py
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id: 52
unit: def prepare_for_coco_segmentation()
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unit: def forward()
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id: 54
unit: def __init__()
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id: 55
unit: def convert_coco_stuff_mat()
file: MaskRCNN/pytorch/tools/cityscapes/convert_cityscapes_to_coco.py
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id: 56
unit: def __call__()
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id: 57
unit: def evaluator()
file: MaskRCNN/pytorch/maskrcnn_benchmark/engine/trainer.py
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id: 58
unit: def instances2dict_with_polygons()
file: MaskRCNN/pytorch/tools/cityscapes/instances2dict_with_polygons.py
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id: 59
unit: def save_path_formatter()
file: Classification/main_imagenet.py
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id: 60
unit: at::Tensor ROIAlign_forward_cpu()
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id: 61
unit: def test()
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id: 62
unit: def __init__()
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id: 63
unit: def __init__()
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id: 64
unit: def __init__()
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id: 65
unit: def get_extensions()
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id: 66
unit: def _preprocess_annotation()
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id: 67
unit: def __init__()
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id: 68
unit: def __init__()
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id: 69
unit: def __init__()
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id: 70
unit: def _make_layer()
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id: 71
unit: def __init__()
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id: 72
unit: def __init__()
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id: 73
unit: def save_path_formatter()
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id: 74
unit: def filter_results()
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id: 75
unit: def project_masks_on_boxes()
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id: 76
unit: def do_voc_evaluation()
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id: 77
unit: def __init__()
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id: 78
unit: def __init__()
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id: 79
unit: def align_and_update_state_dicts()
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unit: def __init__()
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id: 81
unit: def __init__()
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id: 82
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id: 83
unit: def __init__()
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id: 84
unit: def paste_mask_in_image()
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id: 85
unit: def __init__()
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id: 86
unit: def save_path_formatter()
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id: 87
unit: def make_layers()
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id: 88
unit: def train_one_epoch()
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id: 89
unit: def __init__()
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id: 90
unit: def set_parameters()
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id: 91
unit: def _rename_weights_for_resnet()
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id: 92
unit: def transpose()
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id: 93
unit: def __init__()
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id: 95
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id: 96
unit: def __init__()
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id: 97
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id: 98
unit: def _make_layers()
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id: 99
unit: def __init__()
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id: 100
unit: def prepare_for_coco_detection()
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id: 101
unit: def _prepare_batches()
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id: 102
unit: def to_image_list()
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id: 103
unit: def resize()
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id: 104
unit: def _make_layer()
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id: 105
unit: def tensor2array()
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id: 106
unit: def __call__()
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id: 107
unit: def __call__()
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id: 108
unit: def __init__()
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id: 109
unit: def get_lr()
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id: 110
unit: def build_dataset()
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id: 111
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id: 112
unit: def __init__()
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id: 113
unit: def build_resnet_fpn_backbone()
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id: 114
unit: def decode()
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id: 115
unit: def get()
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id: 116
unit: def get()
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id: 117
unit: def get()
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id: 118
unit: def all_gather()
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id: 119
unit: def forward()
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id: 120
unit: def isqrt_newton_schulz_autograd()
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unit: def __len__()
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file: MaskRCNN/pytorch/maskrcnn_benchmark/data/datasets/voc.py
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unit: def __init__()
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unit: def evaluate_box_proposals()
file: MaskRCNN/pytorch/maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval.py
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unit: def make_batch_data_sampler()
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unit: def resize()
file: MaskRCNN/pytorch/maskrcnn_benchmark/structures/segmentation_mask.py
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unit: def to()
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unit: def forward()
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file: MaskRCNN/pytorch/maskrcnn_benchmark/layers/misc.py
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unit: def _specify_process_group()
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file: Segmentation/datasets/cityscapes.py
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file: Segmentation/datasets/voc.py
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unit: def __init__()
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unit: def __init__()
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file: Segmentation/models/segmentation/deconv.py
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file: Segmentation/models/resnet.py
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unit: def global_avg()
file: Segmentation/utils.py
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file: Segmentation/utils.py
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file: Segmentation/utils.py
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unit: def reset()
file: Segmentation/utils.py
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file: Segmentation/utils.py
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file: Segmentation/utils.py
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unit: def DenseNet121()
file: Classification/models/densenet.py
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file: Classification/models/densenet.py
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file: Classification/models/densenet.py
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file: Classification/models/densenet.py
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id: 773
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file: Classification/models/densenet.py
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file: Classification/models/senet.py
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file: Classification/models/resnet_imagenet.py
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file: Classification/models/resnet.py
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file: Classification/models/resnet.py
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file: Classification/models/resnet.py
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file: Classification/models/resnet.py
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file: Classification/models/resnext.py
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file: Classification/models/resnext.py
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file: Classification/models/resnext.py
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file: Classification/models/preact_resnet.py
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file: Classification/models/preact_resnet.py
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file: Classification/models/preact_resnet.py
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file: Classification/models/vgg_imagenet.py
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file: Classification/models/vgg_imagenet.py
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file: Classification/models/vgg_imagenet.py
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file: Classification/models/vgg_imagenet.py
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file: Classification/models/densenet_imagenet.py
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file: Classification/util.py
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