├── .clang-format ├── .flake8 ├── .github └── workflows │ └── codeql-analysis.yml ├── .gitignore ├── LICENSE ├── README.md ├── SECURITY.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 │ ├── 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 │ ├── CLIP_fast_rcnn_R_50_C4_ovd.yaml │ ├── CLIP_fast_rcnn_R_50_C4_ovd_coco80.yaml │ ├── CLIP_fast_rcnn_R_50_C4_ovd_testb.yaml │ ├── CLIP_fast_rcnn_R_50_C4_ovd_testt.yaml │ ├── CLIP_fast_rcnn_R_50_C4_ovd_zsinf.yaml │ ├── mask_rcnn_CLIP_R_50_C4_1x.yaml │ ├── mask_rcnn_CLIP_R_50_C4_1x_ovd_FSD.yaml │ ├── 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_1x_ovd_FSD.yaml │ ├── mask_rcnn_R_50_C4_1x_ovd_coco65.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_1x_ovd_FSD.yaml │ ├── mask_rcnn_R_50_FPN_1x_ovd_coco65.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 │ ├── CLIP_fast_rcnn_R_50_C4.yaml │ ├── CLIP_fast_rcnn_R_50_C4_custom_img.yaml │ ├── CLIP_fast_rcnn_R_50_C4_zsinf.yaml │ ├── mask_rcnn_CLIP_R_50_C4_1x.yaml │ ├── mask_rcnn_CLIP_R_50_FPN_1x.yaml │ ├── mask_rcnn_R_101_FPN_1x.yaml │ ├── mask_rcnn_R_50_C4_1x.yaml │ ├── mask_rcnn_R_50_FPN_1x.yaml │ ├── mask_rcnn_R_50_FPN_2x.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 │ ├── models │ │ ├── cascade_rcnn.py │ │ ├── keypoint_rcnn_fpn.py │ │ ├── mask_rcnn_c4.py │ │ ├── mask_rcnn_fpn.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_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 ├── pretrain │ ├── RegionCLIP_RN50.yaml │ └── RegionCLIP_RN50x4.yaml └── 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 └── custom_images │ ├── sample_img1.jpg │ └── sample_img2.jpg ├── detectron2 ├── __init__.py ├── checkpoint │ ├── __init__.py │ ├── c2_model_loading.py │ ├── catalog.py │ ├── clip_model_loading.py │ └── detection_checkpoint.py ├── config │ ├── __init__.py │ ├── compat.py │ ├── config.py │ ├── defaults.py │ ├── instantiate.py │ └── lazy.py ├── data │ ├── __init__.py │ ├── build.py │ ├── catalog.py │ ├── clip_build.py │ ├── clip_datasets │ │ ├── __init__.py │ │ ├── bpe_simple_vocab_16e6.txt.gz │ │ ├── clip_img_txt_pair_tsv.py │ │ ├── clip_prompt_engineering.py │ │ └── clip_tsv.py │ ├── common.py │ ├── dataset_mapper.py │ ├── datasets │ │ ├── README.md │ │ ├── __init__.py │ │ ├── bpe_simple_vocab_16e6.txt.gz │ │ ├── builtin.py │ │ ├── builtin_meta.py │ │ ├── cityscapes.py │ │ ├── cityscapes_panoptic.py │ │ ├── clip_prompt_utils.py │ │ ├── coco.py │ │ ├── coco_panoptic.py │ │ ├── coco_zeroshot_categories.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 │ │ ├── build.py │ │ ├── torchvision_transforms │ │ ├── __init__.py │ │ ├── functional.py │ │ ├── functional_pil.py │ │ ├── functional_tensor.py │ │ └── transforms.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 │ ├── mask_ops.py │ ├── nms.py │ ├── roi_align.py │ ├── roi_align_rotated.py │ ├── rotated_boxes.py │ ├── shape_spec.py │ ├── soft_nms.py │ └── wrappers.py ├── model_zoo │ ├── __init__.py │ └── model_zoo.py ├── modeling │ ├── __init__.py │ ├── anchor_generator.py │ ├── backbone │ │ ├── __init__.py │ │ ├── backbone.py │ │ ├── build.py │ │ ├── clip_backbone.py │ │ ├── fpn.py │ │ ├── regnet.py │ │ └── resnet.py │ ├── box_regression.py │ ├── matcher.py │ ├── meta_arch │ │ ├── __init__.py │ │ ├── build.py │ │ ├── clip_rcnn.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 │ │ ├── clip_roi_heads.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 │ └── tsv_file.py └── utils │ ├── README.md │ ├── __init__.py │ ├── analysis.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 ├── INSTALL.md ├── MODEL_ZOO.md ├── regionclip.png ├── sample_img1_vis.jpg └── sample_img2_vis.jpg ├── extract_concept_features.sh ├── extract_region_features.sh ├── pretrain.sh ├── setup.cfg ├── setup.py ├── test_transfer_learning.sh ├── test_zeroshot_inference.sh ├── tests ├── README.md ├── __init__.py ├── config │ ├── dir1 │ │ ├── dir1_a.py │ │ └── dir1_b.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 ├── layers │ ├── __init__.py │ ├── test_blocks.py │ ├── test_deformable.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_masks.py │ └── test_rotated_boxes.py ├── test_checkpoint.py ├── test_engine.py ├── test_events.py ├── test_export_caffe2.py ├── test_export_torchscript.py ├── test_model_analysis.py ├── test_model_zoo.py ├── test_packaging.py ├── test_registry.py ├── test_scheduler.py └── test_visualizer.py ├── tools ├── README.md ├── analyze_model.py ├── benchmark.py ├── convert-torchvision-to-d2.py ├── deploy │ ├── CMakeLists.txt │ ├── README.md │ ├── caffe2_mask_rcnn.cpp │ ├── export_model.py │ └── torchscript_traced_mask_rcnn.cpp ├── extract_concept_features.py ├── extract_region_features.py ├── lazyconfig_train_net.py ├── plain_train_net.py ├── train_net.py ├── visualize_data.py └── visualize_json_results.py ├── train_transfer_learning.sh ├── visualize_transfer_learning.sh └── visualize_zeroshot_inference.sh /.clang-format: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/microsoft/RegionCLIP/HEAD/.clang-format -------------------------------------------------------------------------------- /.flake8: -------------------------------------------------------------------------------- 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