├── .gitignore ├── Demo.ipynb ├── Graphonomy-master ├── LICENSE ├── README.md ├── dataloaders │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-310.pyc │ │ ├── __init__.cpython-39.pyc │ │ ├── custom_transforms.cpython-310.pyc │ │ └── custom_transforms.cpython-39.pyc │ ├── atr.py │ ├── cihp.py │ ├── cihp_pascal_atr.py │ ├── custom_transforms.py │ ├── mypath_atr.py │ ├── mypath_cihp.py │ ├── mypath_pascal.py │ └── pascal.py ├── eval_cihp.sh ├── eval_pascal.sh ├── exp │ ├── inference │ │ ├── .ipynb_checkpoints │ │ │ └── inference-checkpoint.py │ │ └── inference.py │ ├── test │ │ ├── __init__.py │ │ ├── eval_show_cihp2pascal.py │ │ ├── eval_show_pascal2cihp.py │ │ └── test_from_disk.py │ ├── transfer │ │ └── train_cihp_from_pascal.py │ └── universal │ │ └── pascal_atr_cihp_uni.py ├── inference.sh ├── networks │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-310.pyc │ │ ├── __init__.cpython-39.pyc │ │ ├── deeplab_xception.cpython-310.pyc │ │ ├── deeplab_xception.cpython-39.pyc │ │ ├── deeplab_xception_synBN.cpython-310.pyc │ │ ├── deeplab_xception_synBN.cpython-39.pyc │ │ ├── deeplab_xception_transfer.cpython-310.pyc │ │ ├── deeplab_xception_transfer.cpython-39.pyc │ │ ├── deeplab_xception_universal.cpython-310.pyc │ │ ├── deeplab_xception_universal.cpython-39.pyc │ │ ├── gcn.cpython-310.pyc │ │ ├── gcn.cpython-39.pyc │ │ ├── graph.cpython-310.pyc │ │ └── graph.cpython-39.pyc │ ├── deeplab_xception.py │ ├── deeplab_xception_synBN.py │ ├── deeplab_xception_transfer.py │ ├── deeplab_xception_universal.py │ ├── gcn.py │ └── graph.py ├── requirements ├── sync_batchnorm │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-310.pyc │ │ ├── __init__.cpython-39.pyc │ │ ├── batchnorm.cpython-310.pyc │ │ ├── batchnorm.cpython-39.pyc │ │ ├── comm.cpython-310.pyc │ │ ├── comm.cpython-39.pyc │ │ ├── replicate.cpython-310.pyc │ │ └── replicate.cpython-39.pyc │ ├── batchnorm.py │ ├── comm.py │ ├── replicate.py │ └── unittest.py ├── train_transfer_cihp.sh ├── train_universal.sh └── utils │ ├── __init__.py │ ├── sampler.py │ ├── test_human.py │ └── util.py ├── HR-VITON-main ├── Output │ └── 00001_00_00001_00.png ├── README.md ├── cp_dataset.py ├── cp_dataset_test.py ├── eval_models │ ├── __init__.py │ ├── base_model.py │ ├── dist_model.py │ ├── networks_basic.py │ ├── pretrained_networks.py │ └── weights │ │ └── v0.1 │ │ └── alex.pth ├── evaluate.py ├── figures │ └── fig.jpg ├── get_norm_const.py ├── network_generator.py ├── networks.py ├── sync_batchnorm │ ├── __init__.py │ ├── batchnorm.py │ ├── batchnorm_reimpl.py │ ├── comm.py │ ├── replicate.py │ └── unittest.py ├── test │ ├── t2.txt │ └── test │ │ ├── cloth-mask │ │ └── 00001_00.jpg │ │ ├── cloth │ │ └── 00001_00.jpg │ │ ├── image-densepose │ │ └── 00001_00.jpg │ │ ├── image-parse-v3 │ │ └── 00001_00.png │ │ ├── image │ │ └── 00001_00.jpg │ │ └── openpose_json │ │ └── 00001_00_keypoints.json ├── test_condition.py ├── test_generator.py ├── train_condition.py ├── train_generator.py └── utils.py ├── README.md ├── TryYours_presentation_kr.pdf ├── detectron2 ├── .clang-format ├── .flake8 ├── .gitignore ├── GETTING_STARTED.md ├── INSTALL.md ├── LICENSE ├── MODEL_ZOO.md ├── README.md ├── configs │ ├── Base-RCNN-C4.yaml │ ├── Base-RCNN-DilatedC5.yaml │ ├── Base-RCNN-FPN.yaml │ ├── Base-RetinaNet.yaml │ ├── COCO-Detection │ │ ├── fast_rcnn_R_50_FPN_1x.yaml │ │ ├── faster_rcnn_R_101_C4_3x.yaml │ │ ├── faster_rcnn_R_101_DC5_3x.yaml │ │ ├── faster_rcnn_R_101_FPN_3x.yaml │ │ ├── faster_rcnn_R_50_C4_1x.yaml │ │ ├── faster_rcnn_R_50_C4_3x.yaml │ │ ├── faster_rcnn_R_50_DC5_1x.yaml │ │ ├── faster_rcnn_R_50_DC5_3x.yaml │ │ ├── faster_rcnn_R_50_FPN_1x.yaml │ │ ├── faster_rcnn_R_50_FPN_3x.yaml │ │ ├── faster_rcnn_X_101_32x8d_FPN_3x.yaml │ │ ├── fcos_R_50_FPN_1x.py │ │ ├── retinanet_R_101_FPN_3x.yaml │ │ ├── retinanet_R_50_FPN_1x.py │ │ ├── retinanet_R_50_FPN_1x.yaml │ │ ├── retinanet_R_50_FPN_3x.yaml │ │ ├── rpn_R_50_C4_1x.yaml │ │ └── rpn_R_50_FPN_1x.yaml │ ├── COCO-InstanceSegmentation │ │ ├── mask_rcnn_R_101_C4_3x.yaml │ │ ├── mask_rcnn_R_101_DC5_3x.yaml │ │ ├── mask_rcnn_R_101_FPN_3x.yaml │ │ ├── mask_rcnn_R_50_C4_1x.py │ │ ├── mask_rcnn_R_50_C4_1x.yaml │ │ ├── mask_rcnn_R_50_C4_3x.yaml │ │ ├── mask_rcnn_R_50_DC5_1x.yaml │ │ ├── mask_rcnn_R_50_DC5_3x.yaml │ │ ├── mask_rcnn_R_50_FPN_1x.py │ │ ├── mask_rcnn_R_50_FPN_1x.yaml │ │ ├── mask_rcnn_R_50_FPN_1x_giou.yaml │ │ ├── mask_rcnn_R_50_FPN_3x.yaml │ │ ├── mask_rcnn_X_101_32x8d_FPN_3x.yaml │ │ ├── mask_rcnn_regnetx_4gf_dds_fpn_1x.py │ │ └── mask_rcnn_regnety_4gf_dds_fpn_1x.py │ ├── COCO-Keypoints │ │ ├── Base-Keypoint-RCNN-FPN.yaml │ │ ├── keypoint_rcnn_R_101_FPN_3x.yaml │ │ ├── keypoint_rcnn_R_50_FPN_1x.py │ │ ├── keypoint_rcnn_R_50_FPN_1x.yaml │ │ ├── keypoint_rcnn_R_50_FPN_3x.yaml │ │ └── keypoint_rcnn_X_101_32x8d_FPN_3x.yaml │ ├── COCO-PanopticSegmentation │ │ ├── Base-Panoptic-FPN.yaml │ │ ├── panoptic_fpn_R_101_3x.yaml │ │ ├── panoptic_fpn_R_50_1x.py │ │ ├── panoptic_fpn_R_50_1x.yaml │ │ └── panoptic_fpn_R_50_3x.yaml │ ├── Cityscapes │ │ └── mask_rcnn_R_50_FPN.yaml │ ├── Detectron1-Comparisons │ │ ├── README.md │ │ ├── faster_rcnn_R_50_FPN_noaug_1x.yaml │ │ ├── keypoint_rcnn_R_50_FPN_1x.yaml │ │ └── mask_rcnn_R_50_FPN_noaug_1x.yaml │ ├── LVISv0.5-InstanceSegmentation │ │ ├── mask_rcnn_R_101_FPN_1x.yaml │ │ ├── mask_rcnn_R_50_FPN_1x.yaml │ │ └── mask_rcnn_X_101_32x8d_FPN_1x.yaml │ ├── LVISv1-InstanceSegmentation │ │ ├── mask_rcnn_R_101_FPN_1x.yaml │ │ ├── mask_rcnn_R_50_FPN_1x.yaml │ │ └── mask_rcnn_X_101_32x8d_FPN_1x.yaml │ ├── Misc │ │ ├── cascade_mask_rcnn_R_50_FPN_1x.yaml │ │ ├── cascade_mask_rcnn_R_50_FPN_3x.yaml │ │ ├── cascade_mask_rcnn_X_152_32x8d_FPN_IN5k_gn_dconv.yaml │ │ ├── mask_rcnn_R_50_FPN_1x_cls_agnostic.yaml │ │ ├── mask_rcnn_R_50_FPN_1x_dconv_c3-c5.yaml │ │ ├── mask_rcnn_R_50_FPN_3x_dconv_c3-c5.yaml │ │ ├── mask_rcnn_R_50_FPN_3x_gn.yaml │ │ ├── mask_rcnn_R_50_FPN_3x_syncbn.yaml │ │ ├── mmdet_mask_rcnn_R_50_FPN_1x.py │ │ ├── panoptic_fpn_R_101_dconv_cascade_gn_3x.yaml │ │ ├── scratch_mask_rcnn_R_50_FPN_3x_gn.yaml │ │ ├── scratch_mask_rcnn_R_50_FPN_9x_gn.yaml │ │ ├── scratch_mask_rcnn_R_50_FPN_9x_syncbn.yaml │ │ ├── semantic_R_50_FPN_1x.yaml │ │ └── torchvision_imagenet_R_50.py │ ├── PascalVOC-Detection │ │ ├── faster_rcnn_R_50_C4.yaml │ │ └── faster_rcnn_R_50_FPN.yaml │ ├── common │ │ ├── README.md │ │ ├── coco_schedule.py │ │ ├── data │ │ │ ├── coco.py │ │ │ ├── coco_keypoint.py │ │ │ ├── coco_panoptic_separated.py │ │ │ └── constants.py │ │ ├── models │ │ │ ├── cascade_rcnn.py │ │ │ ├── fcos.py │ │ │ ├── keypoint_rcnn_fpn.py │ │ │ ├── mask_rcnn_c4.py │ │ │ ├── mask_rcnn_fpn.py │ │ │ ├── mask_rcnn_vitdet.py │ │ │ ├── panoptic_fpn.py │ │ │ └── retinanet.py │ │ ├── optim.py │ │ └── train.py │ ├── new_baselines │ │ ├── mask_rcnn_R_101_FPN_100ep_LSJ.py │ │ ├── mask_rcnn_R_101_FPN_200ep_LSJ.py │ │ ├── mask_rcnn_R_101_FPN_400ep_LSJ.py │ │ ├── mask_rcnn_R_50_FPN_100ep_LSJ.py │ │ ├── mask_rcnn_R_50_FPN_200ep_LSJ.py │ │ ├── mask_rcnn_R_50_FPN_400ep_LSJ.py │ │ ├── mask_rcnn_R_50_FPN_50ep_LSJ.py │ │ ├── mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py │ │ ├── mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py │ │ ├── mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py │ │ ├── mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py │ │ ├── mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py │ │ └── mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py │ └── quick_schedules │ │ ├── README.md │ │ ├── cascade_mask_rcnn_R_50_FPN_inference_acc_test.yaml │ │ ├── cascade_mask_rcnn_R_50_FPN_instant_test.yaml │ │ ├── fast_rcnn_R_50_FPN_inference_acc_test.yaml │ │ ├── fast_rcnn_R_50_FPN_instant_test.yaml │ │ ├── keypoint_rcnn_R_50_FPN_inference_acc_test.yaml │ │ ├── keypoint_rcnn_R_50_FPN_instant_test.yaml │ │ ├── keypoint_rcnn_R_50_FPN_normalized_training_acc_test.yaml │ │ ├── keypoint_rcnn_R_50_FPN_training_acc_test.yaml │ │ ├── mask_rcnn_R_50_C4_GCV_instant_test.yaml │ │ ├── mask_rcnn_R_50_C4_inference_acc_test.yaml │ │ ├── mask_rcnn_R_50_C4_instant_test.yaml │ │ ├── mask_rcnn_R_50_C4_training_acc_test.yaml │ │ ├── mask_rcnn_R_50_DC5_inference_acc_test.yaml │ │ ├── mask_rcnn_R_50_FPN_inference_acc_test.yaml │ │ ├── mask_rcnn_R_50_FPN_instant_test.yaml │ │ ├── mask_rcnn_R_50_FPN_pred_boxes_training_acc_test.yaml │ │ ├── mask_rcnn_R_50_FPN_training_acc_test.yaml │ │ ├── panoptic_fpn_R_50_inference_acc_test.yaml │ │ ├── panoptic_fpn_R_50_instant_test.yaml │ │ ├── panoptic_fpn_R_50_training_acc_test.yaml │ │ ├── retinanet_R_50_FPN_inference_acc_test.yaml │ │ ├── retinanet_R_50_FPN_instant_test.yaml │ │ ├── rpn_R_50_FPN_inference_acc_test.yaml │ │ ├── rpn_R_50_FPN_instant_test.yaml │ │ ├── semantic_R_50_FPN_inference_acc_test.yaml │ │ ├── semantic_R_50_FPN_instant_test.yaml │ │ └── semantic_R_50_FPN_training_acc_test.yaml ├── datasets │ ├── README.md │ ├── prepare_ade20k_sem_seg.py │ ├── prepare_cocofied_lvis.py │ ├── prepare_for_tests.sh │ └── prepare_panoptic_fpn.py ├── demo │ ├── README.md │ ├── demo.py │ └── predictor.py ├── 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 │ ├── 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 │ │ │ ├── lvis_v1_category_image_count.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 │ │ ├── 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 │ │ │ ├── mvit.py │ │ │ ├── regnet.py │ │ │ ├── resnet.py │ │ │ ├── swin.py │ │ │ ├── utils.py │ │ │ └── vit.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 │ │ └── 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 │ ├── tracking │ │ ├── __init__.py │ │ ├── base_tracker.py │ │ ├── bbox_iou_tracker.py │ │ ├── hungarian_tracker.py │ │ ├── iou_weighted_hungarian_bbox_iou_tracker.py │ │ ├── utils.py │ │ └── vanilla_hungarian_bbox_iou_tracker.py │ └── utils │ │ ├── README.md │ │ ├── __init__.py │ │ ├── analysis.py │ │ ├── collect_env.py │ │ ├── colormap.py │ │ ├── comm.py │ │ ├── develop.py │ │ ├── env.py │ │ ├── events.py │ │ ├── file_io.py │ │ ├── logger.py │ │ ├── memory.py │ │ ├── registry.py │ │ ├── serialize.py │ │ ├── testing.py │ │ ├── tracing.py │ │ ├── video_visualizer.py │ │ └── visualizer.py ├── dev │ ├── README.md │ ├── linter.sh │ ├── packaging │ │ ├── README.md │ │ ├── build_all_wheels.sh │ │ ├── build_wheel.sh │ │ ├── gen_install_table.py │ │ ├── gen_wheel_index.sh │ │ └── pkg_helpers.bash │ ├── parse_results.sh │ ├── run_inference_tests.sh │ └── run_instant_tests.sh ├── docker │ ├── Dockerfile │ ├── README.md │ ├── deploy.Dockerfile │ └── docker-compose.yml ├── docs │ ├── .gitignore │ ├── Makefile │ ├── README.md │ ├── _static │ │ └── css │ │ │ └── custom.css │ ├── conf.py │ ├── index.rst │ ├── modules │ │ ├── checkpoint.rst │ │ ├── config.rst │ │ ├── data.rst │ │ ├── data_transforms.rst │ │ ├── engine.rst │ │ ├── evaluation.rst │ │ ├── export.rst │ │ ├── fvcore.rst │ │ ├── index.rst │ │ ├── layers.rst │ │ ├── model_zoo.rst │ │ ├── modeling.rst │ │ ├── solver.rst │ │ ├── structures.rst │ │ └── utils.rst │ ├── notes │ │ ├── benchmarks.md │ │ ├── changelog.md │ │ ├── compatibility.md │ │ ├── contributing.md │ │ └── index.rst │ ├── requirements.txt │ └── tutorials │ │ ├── README.md │ │ ├── augmentation.md │ │ ├── builtin_datasets.md │ │ ├── configs.md │ │ ├── data_loading.md │ │ ├── datasets.md │ │ ├── deployment.md │ │ ├── evaluation.md │ │ ├── extend.md │ │ ├── getting_started.md │ │ ├── index.rst │ │ ├── install.md │ │ ├── lazyconfigs.md │ │ ├── models.md │ │ ├── training.md │ │ └── write-models.md ├── 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 │ ├── MViTv2 │ │ ├── README.md │ │ └── configs │ │ │ ├── cascade_mask_rcnn_mvitv2_b_3x.py │ │ │ ├── cascade_mask_rcnn_mvitv2_b_in21k_3x.py │ │ │ ├── cascade_mask_rcnn_mvitv2_h_in21k_lsj_3x.py │ │ │ ├── cascade_mask_rcnn_mvitv2_l_in21k_lsj_50ep.py │ │ │ ├── cascade_mask_rcnn_mvitv2_s_3x.py │ │ │ ├── cascade_mask_rcnn_mvitv2_t_3x.py │ │ │ ├── common │ │ │ ├── coco_loader.py │ │ │ └── coco_loader_lsj.py │ │ │ └── mask_rcnn_mvitv2_t_3x.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 │ └── ViTDet │ │ ├── README.md │ │ └── configs │ │ ├── COCO │ │ ├── cascade_mask_rcnn_mvitv2_b_in21k_100ep.py │ │ ├── cascade_mask_rcnn_mvitv2_h_in21k_36ep.py │ │ ├── cascade_mask_rcnn_mvitv2_l_in21k_50ep.py │ │ ├── cascade_mask_rcnn_swin_b_in21k_50ep.py │ │ ├── cascade_mask_rcnn_swin_l_in21k_50ep.py │ │ ├── cascade_mask_rcnn_vitdet_b_100ep.py │ │ ├── cascade_mask_rcnn_vitdet_h_75ep.py │ │ ├── cascade_mask_rcnn_vitdet_l_100ep.py │ │ ├── mask_rcnn_vitdet_b_100ep.py │ │ ├── mask_rcnn_vitdet_h_75ep.py │ │ └── mask_rcnn_vitdet_l_100ep.py │ │ ├── LVIS │ │ ├── cascade_mask_rcnn_mvitv2_b_in21k_100ep.py │ │ ├── cascade_mask_rcnn_mvitv2_h_in21k_50ep.py │ │ ├── cascade_mask_rcnn_mvitv2_l_in21k_50ep.py │ │ ├── cascade_mask_rcnn_swin_b_in21k_50ep.py │ │ ├── cascade_mask_rcnn_swin_l_in21k_50ep.py │ │ ├── cascade_mask_rcnn_vitdet_b_100ep.py │ │ ├── cascade_mask_rcnn_vitdet_h_100ep.py │ │ ├── cascade_mask_rcnn_vitdet_l_100ep.py │ │ ├── mask_rcnn_vitdet_b_100ep.py │ │ ├── mask_rcnn_vitdet_h_100ep.py │ │ └── mask_rcnn_vitdet_l_100ep.py │ │ └── common │ │ └── coco_loader_lsj.py ├── setup.cfg ├── setup.py ├── tests │ ├── README.md │ ├── __init__.py │ ├── config │ │ ├── dir1 │ │ │ ├── bad_import.py │ │ │ ├── bad_import2.py │ │ │ ├── dir1_a.py │ │ │ ├── dir1_b.py │ │ │ └── load_rel.py │ │ ├── root_cfg.py │ │ ├── test_instantiate_config.py │ │ ├── test_lazy_config.py │ │ └── test_yacs_config.py │ ├── data │ │ ├── __init__.py │ │ ├── test_coco.py │ │ ├── test_coco_evaluation.py │ │ ├── test_dataset.py │ │ ├── test_detection_utils.py │ │ ├── test_rotation_transform.py │ │ ├── test_sampler.py │ │ └── test_transforms.py │ ├── export │ │ └── test_c10.py │ ├── layers │ │ ├── __init__.py │ │ ├── test_blocks.py │ │ ├── test_deformable.py │ │ ├── test_losses.py │ │ ├── test_mask_ops.py │ │ ├── test_nms.py │ │ ├── test_nms_rotated.py │ │ ├── test_roi_align.py │ │ └── test_roi_align_rotated.py │ ├── modeling │ │ ├── __init__.py │ │ ├── test_anchor_generator.py │ │ ├── test_backbone.py │ │ ├── test_box2box_transform.py │ │ ├── test_fast_rcnn.py │ │ ├── test_matcher.py │ │ ├── test_mmdet.py │ │ ├── test_model_e2e.py │ │ ├── test_roi_heads.py │ │ ├── test_roi_pooler.py │ │ └── test_rpn.py │ ├── structures │ │ ├── __init__.py │ │ ├── test_boxes.py │ │ ├── test_imagelist.py │ │ ├── test_instances.py │ │ ├── test_keypoints.py │ │ ├── test_masks.py │ │ └── test_rotated_boxes.py │ ├── test_checkpoint.py │ ├── test_engine.py │ ├── test_events.py │ ├── test_export_caffe2.py │ ├── test_export_onnx.py │ ├── test_export_torchscript.py │ ├── test_model_analysis.py │ ├── test_model_zoo.py │ ├── test_packaging.py │ ├── test_registry.py │ ├── test_scheduler.py │ ├── test_solver.py │ ├── test_visualizer.py │ └── tracking │ │ ├── __init__.py │ │ ├── test_bbox_iou_tracker.py │ │ ├── test_hungarian_tracker.py │ │ ├── test_iou_weighted_hungarian_bbox_iou_tracker.py │ │ └── test_vanilla_hungarian_bbox_iou_tracker.py └── tools │ ├── README.md │ ├── __init__.py │ ├── analyze_model.py │ ├── benchmark.py │ ├── convert-torchvision-to-d2.py │ ├── deploy │ ├── CMakeLists.txt │ ├── README.md │ ├── export_model.py │ └── torchscript_mask_rcnn.cpp │ ├── lazyconfig_train_net.py │ ├── lightning_train_net.py │ ├── plain_train_net.py │ ├── train_net.py │ ├── visualize_data.py │ └── visualize_json_results.py ├── figures ├── process_overview.png └── teaser.png ├── get_cloth_mask.py ├── get_densepose.py ├── get_seg_grayscale.py ├── main.py ├── posenet.py ├── posenet ├── __init__.py ├── constants.py ├── converter │ ├── .ipynb_checkpoints │ │ ├── tfjs2pytorch-checkpoint.py │ │ └── wget-checkpoint.py │ ├── __pycache__ │ │ ├── tfjs2pytorch.cpython-310.pyc │ │ ├── tfjs2pytorch.cpython-39.pyc │ │ └── wget.cpython-39.pyc │ ├── tfjs2pytorch.py │ └── wget.py ├── decode.py ├── decode_multi.py ├── models │ ├── .ipynb_checkpoints │ │ ├── __init__-checkpoint.py │ │ ├── mobilenet_v1-checkpoint.py │ │ └── model_factory-checkpoint.py │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-310.pyc │ │ ├── __init__.cpython-39.pyc │ │ ├── mobilenet_v1.cpython-310.pyc │ │ ├── mobilenet_v1.cpython-39.pyc │ │ ├── model_factory.cpython-310.pyc │ │ └── model_factory.cpython-39.pyc │ ├── mobilenet_v1.py │ └── model_factory.py └── utils.py ├── posenet_models └── mobilenet_v1_101.pth ├── static ├── Logo.png ├── cloth_web.jpg ├── finalimg.png ├── index.js ├── origin_web.jpg └── style.css ├── templates ├── fileUpload.html ├── fileUpload_cloth.html ├── main.html └── view.html └── webserver.py /.gitignore: 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