├── .circleci └── config.yml ├── .clang-format ├── .flake8 ├── .gitignore ├── README.md ├── configs ├── __init__.py ├── common │ ├── README.md │ ├── coco_schedule.py │ ├── data │ │ ├── coco.py │ │ ├── coco_keypoint.py │ │ └── coco_panoptic_separated.py │ ├── models │ │ ├── cascade_rcnn.py │ │ ├── fcos.py │ │ ├── keypoint_rcnn_fpn.py │ │ ├── mask_rcnn_c4.py │ │ ├── mask_rcnn_fpn.py │ │ ├── panoptic_fpn.py │ │ └── retinanet.py │ ├── optim.py │ └── train.py └── ours │ ├── seg │ └── kumar │ │ ├── baseline_panoptic.yaml │ │ └── proposed_panoptic.yaml │ └── selfsup │ ├── ablation_study │ └── new_ablation │ │ ├── 1distribution │ │ ├── stage1.yaml │ │ └── stage2.yaml │ │ ├── 2stylization │ │ ├── stage1.yaml │ │ └── stage2.yaml │ │ ├── 3co-modulation │ │ ├── stage1.yaml │ │ └── stage2.yaml │ │ ├── 4ada │ │ ├── stage1.yaml │ │ └── stage2.yaml │ │ ├── 5ISG │ │ ├── stage1.yaml │ │ └── stage2.yaml │ │ └── baseline │ │ ├── stage1.yaml │ │ └── stage2.yaml │ ├── stage_1.yaml │ └── stage_2.yaml ├── detectron2 ├── __init__.py ├── checkpoint │ ├── __init__.py │ ├── c2_model_loading.py │ ├── catalog.py │ └── detection_checkpoint.py ├── config │ ├── __init__.py │ ├── compat.py │ ├── config.py │ ├── defaults.py │ ├── instantiate.py │ └── lazy.py ├── cycle_gan │ ├── __init__.py │ ├── datasets.py │ ├── inference.py │ ├── models.py │ └── utils.py ├── data │ ├── __init__.py │ ├── benchmark.py │ ├── build.py │ ├── catalog.py │ ├── common.py │ ├── dataset_mapper.py │ ├── datasets │ │ ├── README.md │ │ ├── __init__.py │ │ ├── builtin.py │ │ ├── builtin_meta.py │ │ ├── cityscapes.py │ │ ├── cityscapes_panoptic.py │ │ ├── coco.py │ │ ├── coco_panoptic.py │ │ ├── lvis.py │ │ ├── lvis_v0_5_categories.py │ │ ├── lvis_v1_categories.py │ │ ├── pascal_voc.py │ │ └── register_coco.py │ ├── detection_utils.py │ ├── samplers │ │ ├── __init__.py │ │ ├── distributed_sampler.py │ │ └── grouped_batch_sampler.py │ └── transforms │ │ ├── __init__.py │ │ ├── augmentation.py │ │ ├── augmentation_impl.py │ │ └── transform.py ├── engine │ ├── __init__.py │ ├── defaults.py │ ├── hooks.py │ ├── launch.py │ └── train_loop.py ├── evaluation │ ├── __init__.py │ ├── cityscapes_evaluation.py │ ├── coco_evaluation.py │ ├── evaluator.py │ ├── fast_eval_api.py │ ├── lvis_evaluation.py │ ├── nucleus_evaluation.py │ ├── panoptic_evaluation.py │ ├── pascal_voc_evaluation.py │ ├── rotated_coco_evaluation.py │ ├── sem_seg_evaluation.py │ └── testing.py ├── export │ ├── README.md │ ├── __init__.py │ ├── api.py │ ├── c10.py │ ├── caffe2_export.py │ ├── caffe2_inference.py │ ├── caffe2_modeling.py │ ├── caffe2_patch.py │ ├── flatten.py │ ├── shared.py │ ├── torchscript.py │ └── torchscript_patch.py ├── layers │ ├── __init__.py │ ├── aspp.py │ ├── batch_norm.py │ ├── blocks.py │ ├── csrc │ │ ├── README.md │ │ ├── ROIAlignRotated │ │ │ ├── ROIAlignRotated.h │ │ │ ├── ROIAlignRotated_cpu.cpp │ │ │ └── ROIAlignRotated_cuda.cu │ │ ├── box_iou_rotated │ │ │ ├── box_iou_rotated.h │ │ │ ├── box_iou_rotated_cpu.cpp │ │ │ ├── box_iou_rotated_cuda.cu │ │ │ └── box_iou_rotated_utils.h │ │ ├── cocoeval │ │ │ ├── cocoeval.cpp │ │ │ └── cocoeval.h │ │ ├── cuda_version.cu │ │ ├── deformable │ │ │ ├── deform_conv.h │ │ │ ├── deform_conv_cuda.cu │ │ │ └── deform_conv_cuda_kernel.cu │ │ ├── nms_rotated │ │ │ ├── nms_rotated.h │ │ │ ├── nms_rotated_cpu.cpp │ │ │ └── nms_rotated_cuda.cu │ │ └── vision.cpp │ ├── deform_conv.py │ ├── losses.py │ ├── mask_ops.py │ ├── nms.py │ ├── roi_align.py │ ├── roi_align_rotated.py │ ├── rotated_boxes.py │ ├── shape_spec.py │ └── wrappers.py ├── model_zoo │ ├── __init__.py │ └── model_zoo.py ├── modeling │ ├── __init__.py │ ├── anchor_generator.py │ ├── backbone │ │ ├── __init__.py │ │ ├── backbone.py │ │ ├── build.py │ │ ├── fpn.py │ │ ├── regnet.py │ │ ├── resnet.py │ │ └── swint │ │ │ ├── __init__.py │ │ │ ├── config.py │ │ │ └── swin_transformer.py │ ├── box_regression.py │ ├── matcher.py │ ├── meta_arch │ │ ├── __init__.py │ │ ├── build.py │ │ ├── dense_detector.py │ │ ├── fcos.py │ │ ├── panoptic_fpn.py │ │ ├── rcnn.py │ │ ├── retinanet.py │ │ └── semantic_seg.py │ ├── mmdet_wrapper.py │ ├── poolers.py │ ├── postprocessing.py │ ├── proposal_generator │ │ ├── __init__.py │ │ ├── build.py │ │ ├── proposal_utils.py │ │ ├── rpn.py │ │ └── rrpn.py │ ├── roi_heads │ │ ├── __init__.py │ │ ├── box_head.py │ │ ├── cascade_rcnn.py │ │ ├── fast_rcnn.py │ │ ├── keypoint_head.py │ │ ├── mask_head.py │ │ ├── roi_heads.py │ │ └── rotated_fast_rcnn.py │ ├── sampling.py │ ├── solov2 │ │ ├── __init__.py │ │ ├── config.py │ │ ├── loss.py │ │ ├── solov2.py │ │ └── utils.py │ └── test_time_augmentation.py ├── projects │ ├── README.md │ └── __init__.py ├── solver │ ├── __init__.py │ ├── build.py │ └── lr_scheduler.py ├── structures │ ├── __init__.py │ ├── boxes.py │ ├── image_list.py │ ├── instances.py │ ├── keypoints.py │ ├── masks.py │ └── rotated_boxes.py └── utils │ ├── README.md │ ├── __init__.py │ ├── analysis.py │ ├── base_storage.py │ ├── collect_env.py │ ├── colormap.py │ ├── comm.py │ ├── env.py │ ├── events.py │ ├── file_io.py │ ├── logger.py │ ├── memory.py │ ├── registry.py │ ├── serialize.py │ ├── testing.py │ ├── video_visualizer.py │ └── visualizer.py ├── docs ├── .gitignore ├── Makefile ├── conf.py ├── dataset-tool-help.txt ├── framework.png ├── index.rst └── license.html ├── projects ├── DeepLab │ ├── README.md │ ├── configs │ │ └── Cityscapes-SemanticSegmentation │ │ │ ├── Base-DeepLabV3-OS16-Semantic.yaml │ │ │ ├── deeplab_v3_R_103_os16_mg124_poly_90k_bs16.yaml │ │ │ └── deeplab_v3_plus_R_103_os16_mg124_poly_90k_bs16.yaml │ ├── deeplab │ │ ├── __init__.py │ │ ├── build_solver.py │ │ ├── config.py │ │ ├── loss.py │ │ ├── lr_scheduler.py │ │ ├── resnet.py │ │ └── semantic_seg.py │ └── train_net.py ├── DensePose │ ├── README.md │ ├── apply_net.py │ ├── configs │ │ ├── Base-DensePose-RCNN-FPN.yaml │ │ ├── HRNet │ │ │ ├── densepose_rcnn_HRFPN_HRNet_w32_s1x.yaml │ │ │ ├── densepose_rcnn_HRFPN_HRNet_w40_s1x.yaml │ │ │ └── densepose_rcnn_HRFPN_HRNet_w48_s1x.yaml │ │ ├── cse │ │ │ ├── Base-DensePose-RCNN-FPN-Human.yaml │ │ │ ├── Base-DensePose-RCNN-FPN.yaml │ │ │ ├── densepose_rcnn_R_101_FPN_DL_s1x.yaml │ │ │ ├── densepose_rcnn_R_101_FPN_DL_soft_s1x.yaml │ │ │ ├── densepose_rcnn_R_101_FPN_s1x.yaml │ │ │ ├── densepose_rcnn_R_101_FPN_soft_s1x.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_DL_s1x.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_DL_soft_s1x.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_s1x.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_CA_finetune_16k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_CA_finetune_4k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_I0_finetune_16k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_I0_finetune_i2m_16k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_I0_finetune_m2m_16k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_finetune_16k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_finetune_4k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_animals_finetune_maskonly_24k.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_soft_chimps_finetune_4k.yaml │ │ │ └── densepose_rcnn_R_50_FPN_soft_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_DL_WC1M_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_DL_WC1_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_DL_WC2M_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_DL_WC2_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_DL_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_WC1M_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_WC1_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_WC2M_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_WC2_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_s1x.yaml │ │ ├── densepose_rcnn_R_101_FPN_s1x_legacy.yaml │ │ ├── densepose_rcnn_R_50_FPN_DL_WC1M_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_DL_WC1_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_DL_WC2M_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_DL_WC2_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_DL_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_WC1M_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_WC1_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_WC2M_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_WC2_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_s1x.yaml │ │ ├── densepose_rcnn_R_50_FPN_s1x_legacy.yaml │ │ ├── evolution │ │ │ ├── Base-RCNN-FPN-Atop10P_CA.yaml │ │ │ ├── densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA.yaml │ │ │ ├── densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_coarsesegm.yaml │ │ │ ├── densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_finesegm.yaml │ │ │ ├── densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_uniform.yaml │ │ │ └── densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_uv.yaml │ │ └── quick_schedules │ │ │ ├── cse │ │ │ ├── densepose_rcnn_R_50_FPN_DL_instant_test.yaml │ │ │ └── densepose_rcnn_R_50_FPN_soft_animals_finetune_instant_test.yaml │ │ │ ├── densepose_rcnn_HRFPN_HRNet_w32_instant_test.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_DL_instant_test.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_TTA_inference_acc_test.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_WC1_instant_test.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_WC2_instant_test.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_inference_acc_test.yaml │ │ │ ├── densepose_rcnn_R_50_FPN_instant_test.yaml │ │ │ └── densepose_rcnn_R_50_FPN_training_acc_test.yaml │ ├── densepose │ │ ├── __init__.py │ │ ├── config.py │ │ ├── converters │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── builtin.py │ │ │ ├── chart_output_hflip.py │ │ │ ├── chart_output_to_chart_result.py │ │ │ ├── hflip.py │ │ │ ├── segm_to_mask.py │ │ │ ├── to_chart_result.py │ │ │ └── to_mask.py │ │ ├── data │ │ │ ├── __init__.py │ │ │ ├── build.py │ │ │ ├── combined_loader.py │ │ │ ├── dataset_mapper.py │ │ │ ├── datasets │ │ │ │ ├── __init__.py │ │ │ │ ├── builtin.py │ │ │ │ ├── chimpnsee.py │ │ │ │ ├── coco.py │ │ │ │ ├── dataset_type.py │ │ │ │ └── lvis.py │ │ │ ├── image_list_dataset.py │ │ │ ├── inference_based_loader.py │ │ │ ├── meshes │ │ │ │ ├── __init__.py │ │ │ │ ├── builtin.py │ │ │ │ └── catalog.py │ │ │ ├── samplers │ │ │ │ ├── __init__.py │ │ │ │ ├── densepose_base.py │ │ │ │ ├── densepose_confidence_based.py │ │ │ │ ├── densepose_cse_base.py │ │ │ │ ├── densepose_cse_confidence_based.py │ │ │ │ ├── densepose_cse_uniform.py │ │ │ │ ├── densepose_uniform.py │ │ │ │ ├── mask_from_densepose.py │ │ │ │ └── prediction_to_gt.py │ │ │ ├── transform │ │ │ │ ├── __init__.py │ │ │ │ └── image.py │ │ │ ├── utils.py │ │ │ └── video │ │ │ │ ├── __init__.py │ │ │ │ ├── frame_selector.py │ │ │ │ └── video_keyframe_dataset.py │ │ ├── engine │ │ │ ├── __init__.py │ │ │ └── trainer.py │ │ ├── evaluation │ │ │ ├── __init__.py │ │ │ ├── d2_evaluator_adapter.py │ │ │ ├── densepose_coco_evaluation.py │ │ │ ├── evaluator.py │ │ │ ├── mesh_alignment_evaluator.py │ │ │ └── tensor_storage.py │ │ ├── modeling │ │ │ ├── __init__.py │ │ │ ├── build.py │ │ │ ├── confidence.py │ │ │ ├── cse │ │ │ │ ├── __init__.py │ │ │ │ ├── embedder.py │ │ │ │ ├── utils.py │ │ │ │ ├── vertex_direct_embedder.py │ │ │ │ └── vertex_feature_embedder.py │ │ │ ├── densepose_checkpoint.py │ │ │ ├── filter.py │ │ │ ├── hrfpn.py │ │ │ ├── hrnet.py │ │ │ ├── inference.py │ │ │ ├── losses │ │ │ │ ├── __init__.py │ │ │ │ ├── chart.py │ │ │ │ ├── chart_with_confidences.py │ │ │ │ ├── cse.py │ │ │ │ ├── cycle_pix2shape.py │ │ │ │ ├── cycle_shape2shape.py │ │ │ │ ├── embed.py │ │ │ │ ├── embed_utils.py │ │ │ │ ├── mask.py │ │ │ │ ├── mask_or_segm.py │ │ │ │ ├── registry.py │ │ │ │ ├── segm.py │ │ │ │ ├── soft_embed.py │ │ │ │ └── utils.py │ │ │ ├── predictors │ │ │ │ ├── __init__.py │ │ │ │ ├── chart.py │ │ │ │ ├── chart_confidence.py │ │ │ │ ├── chart_with_confidence.py │ │ │ │ ├── cse.py │ │ │ │ ├── cse_confidence.py │ │ │ │ ├── cse_with_confidence.py │ │ │ │ └── registry.py │ │ │ ├── roi_heads │ │ │ │ ├── __init__.py │ │ │ │ ├── deeplab.py │ │ │ │ ├── registry.py │ │ │ │ ├── roi_head.py │ │ │ │ └── v1convx.py │ │ │ ├── test_time_augmentation.py │ │ │ └── utils.py │ │ ├── structures │ │ │ ├── __init__.py │ │ │ ├── chart.py │ │ │ ├── chart_confidence.py │ │ │ ├── chart_result.py │ │ │ ├── cse.py │ │ │ ├── cse_confidence.py │ │ │ ├── data_relative.py │ │ │ ├── list.py │ │ │ ├── mesh.py │ │ │ └── transform_data.py │ │ ├── utils │ │ │ ├── __init__.py │ │ │ ├── dbhelper.py │ │ │ ├── logger.py │ │ │ └── transform.py │ │ └── vis │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── bounding_box.py │ │ │ ├── densepose_data_points.py │ │ │ ├── densepose_outputs_iuv.py │ │ │ ├── densepose_outputs_vertex.py │ │ │ ├── densepose_results.py │ │ │ ├── densepose_results_textures.py │ │ │ └── extractor.py │ ├── dev │ │ ├── README.md │ │ ├── run_inference_tests.sh │ │ └── run_instant_tests.sh │ ├── doc │ │ ├── BOOTSTRAPPING_PIPELINE.md │ │ ├── DENSEPOSE_CSE.md │ │ ├── DENSEPOSE_DATASETS.md │ │ ├── DENSEPOSE_IUV.md │ │ ├── GETTING_STARTED.md │ │ ├── RELEASE_2020_04.md │ │ ├── RELEASE_2021_03.md │ │ ├── RELEASE_2021_06.md │ │ ├── TOOL_APPLY_NET.md │ │ └── TOOL_QUERY_DB.md │ ├── query_db.py │ ├── setup.py │ ├── tests │ │ ├── common.py │ │ ├── test_chart_based_annotations_accumulator.py │ │ ├── test_combine_data_loader.py │ │ ├── test_cse_annotations_accumulator.py │ │ ├── test_dataset_loaded_annotations.py │ │ ├── test_frame_selector.py │ │ ├── test_image_list_dataset.py │ │ ├── test_image_resize_transform.py │ │ ├── test_model_e2e.py │ │ ├── test_setup.py │ │ ├── test_structures.py │ │ ├── test_tensor_storage.py │ │ └── test_video_keyframe_dataset.py │ └── train_net.py ├── Panoptic-DeepLab │ ├── README.md │ ├── configs │ │ ├── COCO-PanopticSegmentation │ │ │ └── panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv.yaml │ │ └── Cityscapes-PanopticSegmentation │ │ │ ├── Base-PanopticDeepLab-OS16.yaml │ │ │ ├── panoptic_deeplab_R_52_os16_mg124_poly_90k_bs32_crop_512_1024.yaml │ │ │ └── panoptic_deeplab_R_52_os16_mg124_poly_90k_bs32_crop_512_1024_dsconv.yaml │ ├── panoptic_deeplab │ │ ├── __init__.py │ │ ├── config.py │ │ ├── dataset_mapper.py │ │ ├── panoptic_seg.py │ │ ├── post_processing.py │ │ └── target_generator.py │ └── train_net.py ├── PointRend │ ├── README.md │ ├── configs │ │ ├── InstanceSegmentation │ │ │ ├── Base-Implicit-PointRend.yaml │ │ │ ├── Base-PointRend-RCNN-FPN.yaml │ │ │ ├── implicit_pointrend_R_50_FPN_1x_coco.yaml │ │ │ ├── implicit_pointrend_R_50_FPN_3x_coco.yaml │ │ │ ├── pointrend_rcnn_R_101_FPN_3x_coco.yaml │ │ │ ├── pointrend_rcnn_R_50_FPN_1x_cityscapes.yaml │ │ │ ├── pointrend_rcnn_R_50_FPN_1x_coco.yaml │ │ │ ├── pointrend_rcnn_R_50_FPN_3x_coco.yaml │ │ │ └── pointrend_rcnn_X_101_32x8d_FPN_3x_coco.yaml │ │ └── SemanticSegmentation │ │ │ ├── Base-PointRend-Semantic-FPN.yaml │ │ │ └── pointrend_semantic_R_101_FPN_1x_cityscapes.yaml │ ├── point_rend │ │ ├── __init__.py │ │ ├── color_augmentation.py │ │ ├── config.py │ │ ├── mask_head.py │ │ ├── point_features.py │ │ ├── point_head.py │ │ ├── roi_heads.py │ │ └── semantic_seg.py │ └── train_net.py ├── PointSup │ ├── README.md │ ├── configs │ │ ├── implicit_pointrend_R_50_FPN_3x_point_sup_point_aug_coco.yaml │ │ ├── mask_rcnn_R_50_FPN_3x_point_sup_coco.yaml │ │ └── mask_rcnn_R_50_FPN_3x_point_sup_point_aug_coco.yaml │ ├── point_sup │ │ ├── __init__.py │ │ ├── config.py │ │ ├── dataset_mapper.py │ │ ├── detection_utils.py │ │ ├── mask_head.py │ │ ├── point_utils.py │ │ └── register_point_annotations.py │ ├── tools │ │ └── prepare_coco_point_annotations_without_masks.py │ └── train_net.py ├── README.md ├── Rethinking-BatchNorm │ ├── README.md │ ├── configs │ │ ├── mask_rcnn_BNhead.py │ │ ├── mask_rcnn_BNhead_batch_stats.py │ │ ├── mask_rcnn_BNhead_shuffle.py │ │ ├── mask_rcnn_SyncBNhead.py │ │ ├── retinanet_SyncBNhead.py │ │ └── retinanet_SyncBNhead_SharedTraining.py │ └── retinanet-eval-domain-specific.py ├── TensorMask │ ├── README.md │ ├── configs │ │ ├── Base-TensorMask.yaml │ │ ├── tensormask_R_50_FPN_1x.yaml │ │ └── tensormask_R_50_FPN_6x.yaml │ ├── setup.py │ ├── tensormask │ │ ├── __init__.py │ │ ├── arch.py │ │ ├── config.py │ │ └── layers │ │ │ ├── __init__.py │ │ │ ├── csrc │ │ │ ├── SwapAlign2Nat │ │ │ │ ├── SwapAlign2Nat.h │ │ │ │ └── SwapAlign2Nat_cuda.cu │ │ │ └── vision.cpp │ │ │ └── swap_align2nat.py │ ├── tests │ │ ├── __init__.py │ │ └── test_swap_align2nat.py │ └── train_net.py └── TridentNet │ ├── README.md │ ├── configs │ ├── Base-TridentNet-Fast-C4.yaml │ ├── tridentnet_fast_R_101_C4_3x.yaml │ ├── tridentnet_fast_R_50_C4_1x.yaml │ └── tridentnet_fast_R_50_C4_3x.yaml │ ├── train_net.py │ └── tridentnet │ ├── __init__.py │ ├── config.py │ ├── trident_backbone.py │ ├── trident_conv.py │ ├── trident_rcnn.py │ └── trident_rpn.py ├── setup.cfg ├── setup.py └── tools ├── README.md ├── __init__.py ├── analyze_model.py ├── benchmark.py ├── classify_demo.ipynb ├── convert-d2-to-torchvision.py ├── convert-torchvision-to-d2.py ├── deploy ├── CMakeLists.txt ├── README.md ├── caffe2_mask_rcnn.cpp ├── export_model.py └── torchscript_mask_rcnn.cpp ├── lazyconfig_train_net.py ├── lightning_train_net.py ├── plain_train_net.py ├── train_cycle.py ├── train_net.py ├── 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