├── .gitignore ├── README.md ├── configs ├── coco_voc_mask_rcnn_r50_fpn_1x.yml └── coco_voc_mask_rcnn_r50_fpn_shapeprop_1x.yml ├── illustration.png ├── scripts ├── install.sh ├── prepare_data.sh ├── train_baseline.sh └── train_shapeprop.sh ├── setup.py └── shapeprop ├── __init__.py ├── config ├── __init__.py ├── defaults.py └── paths_catalog.py ├── csrc ├── ROIAlign.h ├── ROIPool.h ├── SigmoidFocalLoss.h ├── cpu │ ├── ROIAlign_cpu.cpp │ ├── nms_cpu.cpp │ └── vision.h ├── cuda │ ├── ROIAlign_cuda.cu │ ├── ROIPool_cuda.cu │ ├── SigmoidFocalLoss_cuda.cu │ ├── deform_conv_cuda.cu │ ├── deform_conv_kernel_cuda.cu │ ├── deform_pool_cuda.cu │ ├── deform_pool_kernel_cuda.cu │ ├── nms.cu │ └── vision.h ├── deform_conv.h ├── deform_pool.h ├── nms.h └── vision.cpp ├── data ├── __init__.py ├── build.py ├── collate_batch.py ├── datasets │ ├── __init__.py │ ├── coco.py │ ├── concat_dataset.py │ ├── evaluation │ │ ├── __init__.py │ │ └── coco │ │ │ ├── __init__.py │ │ │ └── coco_eval.py │ └── list_dataset.py ├── samplers │ ├── __init__.py │ ├── distributed.py │ ├── grouped_batch_sampler.py │ └── iteration_based_batch_sampler.py └── transforms │ ├── __init__.py │ ├── build.py │ └── transforms.py ├── engine ├── __init__.py ├── bbox_aug.py ├── inference.py └── trainer.py ├── layers ├── __init__.py ├── _utils.py ├── batch_norm.py ├── dcn │ ├── __init__.py │ ├── deform_conv_func.py │ ├── deform_conv_module.py │ ├── deform_pool_func.py │ └── deform_pool_module.py ├── misc.py ├── nms.py ├── peak_stimulation.py ├── roi_align.py ├── roi_pool.py ├── sigmoid_focal_loss.py └── smooth_l1_loss.py ├── modeling ├── __init__.py ├── backbone │ ├── __init__.py │ ├── backbone.py │ ├── fbnet.py │ ├── fbnet_builder.py │ ├── fbnet_modeldef.py │ ├── fpn.py │ └── resnet.py ├── balanced_positive_negative_sampler.py ├── box_coder.py ├── detector │ ├── __init__.py │ ├── detectors.py │ └── generalized_rcnn.py ├── make_layers.py ├── matcher.py ├── poolers.py ├── registry.py ├── roi_heads │ ├── __init__.py │ ├── box_head │ │ ├── __init__.py │ │ ├── box_head.py │ │ ├── inference.py │ │ ├── loss.py │ │ ├── roi_box_feature_extractors.py │ │ └── roi_box_predictors.py │ ├── mask_head │ │ ├── __init__.py │ │ ├── inference.py │ │ ├── loss.py │ │ ├── mask_head.py │ │ ├── roi_mask_feature_extractors.py │ │ └── roi_mask_predictors.py │ ├── roi_heads.py │ └── shapeprop_head │ │ ├── loss.py │ │ └── shapeprop_head.py ├── rpn │ ├── __init__.py │ ├── anchor_generator.py │ ├── inference.py │ ├── loss.py │ ├── retinanet │ │ ├── __init__.py │ │ ├── inference.py │ │ ├── loss.py │ │ └── retinanet.py │ ├── rpn.py │ └── utils.py └── utils.py ├── solver ├── __init__.py ├── build.py └── lr_scheduler.py ├── structures ├── __init__.py ├── bounding_box.py ├── boxlist_ops.py ├── image_list.py └── segmentation_mask.py ├── tools ├── evaluate.py ├── split_coco.py ├── test_net.py └── train_net.py └── utils ├── README.md ├── __init__.py ├── c2_model_loading.py ├── checkpoint.py ├── collect_env.py ├── comm.py 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