├── LICENSE ├── README.md ├── VQA ├── license.txt └── note.txt ├── analyze.py ├── app.py ├── attention_vis.py ├── bottom-up-attention-vqa ├── .gitignore ├── LICENSE ├── README.md ├── attention.py ├── base_model.py ├── butd_inference_wrapper.py ├── classifier.py ├── dataset.py ├── essentials │ ├── dictionary.pkl │ ├── trainval_ans2label.pkl │ └── trainval_label2ans.pkl ├── eval.py ├── extract.py ├── fc.py ├── language_model.py ├── main.py ├── tools │ ├── compute_softscore.py │ ├── create_dictionary.py │ ├── detection_features_converter.py │ └── process.py ├── train.py └── utils.py ├── crop_patches ├── clock+gold.jpg ├── flowers+purple.jpg ├── head+green.jpg ├── helmet+silver.jpg └── shirt+plaid.jpg ├── data ├── annotation_map.json ├── train_ids.pkl └── val_ids.pkl ├── datagen ├── compose_dataset.py ├── detectron2 │ ├── .circleci │ │ └── config.yml │ ├── .clang-format │ ├── .flake8 │ ├── .github │ │ ├── CODE_OF_CONDUCT.md │ │ ├── CONTRIBUTING.md │ │ ├── Detectron2-Logo-Horz.svg │ │ ├── ISSUE_TEMPLATE.md │ │ ├── ISSUE_TEMPLATE │ │ │ ├── config.yml │ │ │ ├── feature-request.md │ │ │ ├── questions-help-support.md │ │ │ └── unexpected-problems-bugs.md │ │ └── pull_request_template.md │ ├── .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 │ │ │ ├── retinanet_R_101_FPN_3x.yaml │ │ │ ├── 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.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.yaml │ │ │ ├── mask_rcnn_R_50_FPN_3x.yaml │ │ │ └── mask_rcnn_X_101_32x8d_FPN_3x.yaml │ │ ├── COCO-Keypoints │ │ │ ├── Base-Keypoint-RCNN-FPN.yaml │ │ │ ├── keypoint_rcnn_R_101_FPN_3x.yaml │ │ │ ├── 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.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 │ │ ├── LVIS-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 │ │ │ ├── panoptic_fpn_R_101_dconv_cascade_gn_3x.yaml │ │ │ ├── scratch_mask_rcnn_R_50_FPN_3x_gn.yaml │ │ │ └── semantic_R_50_FPN_1x.yaml │ │ ├── PascalVOC-Detection │ │ │ ├── faster_rcnn_R_50_C4.yaml │ │ │ └── faster_rcnn_R_50_FPN.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_GCN_instant_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_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 │ ├── 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 │ │ ├── data │ │ │ ├── __init__.py │ │ │ ├── build.py │ │ │ ├── catalog.py │ │ │ ├── common.py │ │ │ ├── dataset_mapper.py │ │ │ ├── datasets │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ ├── builtin.py │ │ │ │ ├── builtin_meta.py │ │ │ │ ├── cityscapes.py │ │ │ │ ├── coco.py │ │ │ │ ├── lvis.py │ │ │ │ ├── lvis_v0_5_categories.py │ │ │ │ ├── pascal_voc.py │ │ │ │ └── register_coco.py │ │ │ ├── detection_utils.py │ │ │ ├── samplers │ │ │ │ ├── __init__.py │ │ │ │ ├── distributed_sampler.py │ │ │ │ └── grouped_batch_sampler.py │ │ │ └── transforms │ │ │ │ ├── __init__.py │ │ │ │ ├── transform.py │ │ │ │ └── transform_gen.py │ │ ├── engine │ │ │ ├── __init__.py │ │ │ ├── defaults.py │ │ │ ├── hooks.py │ │ │ ├── launch.py │ │ │ └── train_loop.py │ │ ├── evaluation │ │ │ ├── __init__.py │ │ │ ├── cityscapes_evaluation.py │ │ │ ├── coco_evaluation.py │ │ │ ├── evaluator.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 │ │ │ ├── patcher.py │ │ │ └── shared.py │ │ ├── layers │ │ │ ├── __init__.py │ │ │ ├── batch_norm.py │ │ │ ├── csrc │ │ │ │ ├── README.md │ │ │ │ ├── ROIAlign │ │ │ │ │ ├── ROIAlign.h │ │ │ │ │ ├── ROIAlign_cpu.cpp │ │ │ │ │ └── ROIAlign_cuda.cu │ │ │ │ ├── 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 │ │ │ │ ├── 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 │ │ │ └── wrappers.py │ │ ├── model_zoo │ │ │ ├── __init__.py │ │ │ └── model_zoo.py │ │ ├── modeling │ │ │ ├── __init__.py │ │ │ ├── anchor_generator.py │ │ │ ├── backbone │ │ │ │ ├── __init__.py │ │ │ │ ├── backbone.py │ │ │ │ ├── build.py │ │ │ │ ├── fpn.py │ │ │ │ └── resnet.py │ │ │ ├── box_regression.py │ │ │ ├── matcher.py │ │ │ ├── meta_arch │ │ │ │ ├── __init__.py │ │ │ │ ├── build.py │ │ │ │ ├── panoptic_fpn.py │ │ │ │ ├── rcnn.py │ │ │ │ ├── retinanet.py │ │ │ │ └── semantic_seg.py │ │ │ ├── poolers.py │ │ │ ├── postprocessing.py │ │ │ ├── proposal_generator │ │ │ │ ├── __init__.py │ │ │ │ ├── build.py │ │ │ │ ├── proposal_utils.py │ │ │ │ ├── rpn.py │ │ │ │ ├── rpn_outputs.py │ │ │ │ ├── rrpn.py │ │ │ │ └── rrpn_outputs.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 │ │ ├── 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 │ │ │ ├── collect_env.py │ │ │ ├── colormap.py │ │ │ ├── comm.py │ │ │ ├── env.py │ │ │ ├── events.py │ │ │ ├── logger.py │ │ │ ├── memory.py │ │ │ ├── registry.py │ │ │ ├── serialize.py │ │ │ ├── video_visualizer.py │ │ │ └── visualizer.py │ ├── dev │ │ ├── README.md │ │ ├── linter.sh │ │ ├── packaging │ │ │ ├── README.md │ │ │ ├── build_all_wheels.sh │ │ │ ├── build_wheel.sh │ │ │ ├── gen_wheel_index.sh │ │ │ └── pkg_helpers.bash │ │ ├── parse_results.sh │ │ ├── run_inference_tests.sh │ │ └── run_instant_tests.sh │ ├── docker │ │ ├── Dockerfile │ │ ├── Dockerfile-circleci │ │ ├── README.md │ │ └── docker-compose.yml │ ├── docs │ │ ├── .gitignore │ │ ├── Makefile │ │ ├── README.md │ │ ├── conf.py │ │ ├── index.rst │ │ ├── modules │ │ │ ├── checkpoint.rst │ │ │ ├── config.rst │ │ │ ├── data.rst │ │ │ ├── engine.rst │ │ │ ├── evaluation.rst │ │ │ ├── export.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 │ │ └── tutorials │ │ │ ├── README.md │ │ │ ├── configs.md │ │ │ ├── data_loading.md │ │ │ ├── datasets.md │ │ │ ├── deployment.md │ │ │ ├── evaluation.md │ │ │ ├── extend.md │ │ │ ├── getting_started.md │ │ │ ├── index.rst │ │ │ ├── install.md │ │ │ ├── models.md │ │ │ ├── training.md │ │ │ └── write-models.md │ ├── projects │ │ ├── DensePose │ │ │ ├── README.md │ │ │ ├── apply_net.py │ │ │ ├── configs │ │ │ │ ├── Base-DensePose-RCNN-FPN.yaml │ │ │ │ ├── densepose_rcnn_R_101_FPN_DL_WC1_s1x.yaml │ │ │ │ ├── densepose_rcnn_R_101_FPN_DL_WC2_s1x.yaml │ │ │ │ ├── densepose_rcnn_R_101_FPN_DL_s1x.yaml │ │ │ │ ├── densepose_rcnn_R_101_FPN_WC1_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_WC1_s1x.yaml │ │ │ │ ├── densepose_rcnn_R_50_FPN_DL_WC2_s1x.yaml │ │ │ │ ├── densepose_rcnn_R_50_FPN_DL_s1x.yaml │ │ │ │ ├── densepose_rcnn_R_50_FPN_WC1_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 │ │ │ │ └── quick_schedules │ │ │ │ │ ├── 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 │ │ │ │ ├── dataset.py │ │ │ │ ├── dataset_mapper.py │ │ │ │ ├── densepose_coco_evaluation.py │ │ │ │ ├── densepose_head.py │ │ │ │ ├── evaluator.py │ │ │ │ ├── modeling │ │ │ │ │ └── test_time_augmentation.py │ │ │ │ ├── roi_head.py │ │ │ │ ├── structures.py │ │ │ │ ├── utils │ │ │ │ │ ├── dbhelper.py │ │ │ │ │ ├── logger.py │ │ │ │ │ └── transform.py │ │ │ │ └── vis │ │ │ │ │ ├── base.py │ │ │ │ │ ├── bounding_box.py │ │ │ │ │ ├── densepose.py │ │ │ │ │ └── extractor.py │ │ │ ├── dev │ │ │ │ ├── README.md │ │ │ │ ├── run_inference_tests.sh │ │ │ │ └── run_instant_tests.sh │ │ │ ├── doc │ │ │ │ ├── GETTING_STARTED.md │ │ │ │ ├── MODEL_ZOO.md │ │ │ │ ├── TOOL_APPLY_NET.md │ │ │ │ └── TOOL_QUERY_DB.md │ │ │ ├── query_db.py │ │ │ ├── tests │ │ │ │ ├── common.py │ │ │ │ ├── test_model_e2e.py │ │ │ │ ├── test_setup.py │ │ │ │ └── test_structures.py │ │ │ └── train_net.py │ │ ├── PointRend │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ └── InstanceSegmentation │ │ │ │ │ ├── Base-PointRend-RCNN-FPN.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 │ │ │ ├── point_rend │ │ │ │ ├── __init__.py │ │ │ │ ├── coarse_mask_head.py │ │ │ │ ├── config.py │ │ │ │ ├── point_features.py │ │ │ │ ├── point_head.py │ │ │ │ └── roi_heads.py │ │ │ └── train_net.py │ │ ├── README.md │ │ ├── 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 │ ├── tests │ │ ├── README.md │ │ ├── __init__.py │ │ ├── test_anchor_generator.py │ │ ├── test_box2box_transform.py │ │ ├── test_boxes.py │ │ ├── test_checkpoint.py │ │ ├── test_config.py │ │ ├── test_data_loader.py │ │ ├── test_data_transform.py │ │ ├── test_fast_rcnn.py │ │ ├── test_instances.py │ │ ├── test_mask_ops.py │ │ ├── test_model_analysis.py │ │ ├── test_model_e2e.py │ │ ├── test_model_zoo.py │ │ ├── test_nms_rotated.py │ │ ├── test_roi_align.py │ │ ├── test_roi_align_rotated.py │ │ ├── test_roi_heads.py │ │ ├── test_roi_pooler.py │ │ ├── test_rotated_boxes.py │ │ ├── test_rpn.py │ │ ├── test_sampler.py │ │ └── test_visualizer.py │ └── tools │ │ ├── README.md │ │ ├── benchmark.py │ │ ├── convert-torchvision-to-d2.py │ │ ├── deploy │ │ ├── README.md │ │ ├── caffe2_converter.py │ │ └── caffe2_mask_rcnn.cpp │ │ ├── plain_train_net.py │ │ ├── train_net.py │ │ ├── visualize_data.py │ │ └── visualize_json_results.py ├── extract_features.py ├── grid-feats-vqa │ ├── CODE_OF_CONDUCT.md │ ├── CONTRIBUTING.md │ ├── LICENSE │ ├── README.md │ ├── configs │ │ ├── Base-RCNN-grid.yaml │ │ ├── Base-RCNN-updn.yaml │ │ ├── R-50-grid.yaml │ │ ├── R-50-updn.yaml │ │ ├── X-101-grid.yaml │ │ ├── X-152-challenge.yaml │ │ └── X-152-grid.yaml │ ├── extract_grid_feature.py │ ├── grid_feats │ │ ├── __init__.py │ │ ├── build_loader.py │ │ ├── config.py │ │ ├── dataset_mapper.py │ │ ├── roi_heads.py │ │ └── visual_genome.py │ └── train_net.py ├── optimize_patch.py ├── sem_optimize_patch.py ├── triggers.py └── utils.py ├── demo.py ├── download.sh ├── eval.py ├── figures.py ├── full_inference.py ├── make_specs.py ├── manage_models.py ├── misc ├── Attention.jpg ├── Pipeline.jpg └── Teaser_Wide.png ├── openvqa ├── .gitignore ├── Dockerfile ├── LICENSE ├── README.md ├── configs │ ├── clevr │ │ └── mcan_small.yml │ ├── gqa │ │ ├── ban_4.yml │ │ ├── ban_8.yml │ │ ├── butd.yml │ │ ├── mcan_large.yml │ │ └── mcan_small.yml │ └── vqa │ │ ├── ban_4.yml │ │ ├── ban_8.yml │ │ ├── butd.yml │ │ ├── mcan_large.yml │ │ ├── mcan_small.yml │ │ ├── mfb.yml │ │ ├── mfh.yml │ │ ├── mmnasnet_large.yml │ │ └── mmnasnet_small.yml ├── data │ ├── clevr │ │ ├── clevr_extract_feat.py │ │ ├── feats │ │ │ └── .gitkeep │ │ └── raw │ │ │ └── .gitkeep │ ├── gqa │ │ ├── feats │ │ │ └── .gitkeep │ │ ├── gqa_feat_preproc.py │ │ └── raw │ │ │ └── .gitkeep │ └── vqa │ │ ├── feats │ │ └── .gitkeep │ │ └── raw │ │ └── .gitkeep ├── docs │ ├── Makefile │ ├── _source │ │ ├── _static │ │ │ ├── custom.css │ │ │ ├── mathjax_mathml.user.js │ │ │ └── mathjax_wikipedia.user.js │ │ ├── advanced │ │ │ ├── adding_model.md │ │ │ └── contributing.md │ │ ├── basic │ │ │ ├── getting_started.md │ │ │ ├── install.md │ │ │ └── model_zoo.md │ │ ├── conf.py │ │ └── index.rst │ ├── _templates │ │ └── layout.html │ ├── make.bat │ ├── readme.md │ └── requirements.txt ├── misc │ └── openvqa_overall.png ├── openvqa │ ├── core │ │ ├── base_cfgs.py │ │ ├── base_dataset.py │ │ └── path_cfgs.py │ ├── datasets │ │ ├── clevr │ │ │ ├── clevr_loader.py │ │ │ └── eval │ │ │ │ └── result_eval.py │ │ ├── dataset_loader.py │ │ ├── gqa │ │ │ ├── dicts.json │ │ │ ├── eval │ │ │ │ ├── gqa_eval.py │ │ │ │ └── result_eval.py │ │ │ └── gqa_loader.py │ │ └── vqa │ │ │ ├── answer_dict.json │ │ │ ├── eval │ │ │ ├── result_eval.py │ │ │ ├── vqa.py │ │ │ └── vqaEval.py │ │ │ ├── token_dict.json │ │ │ └── vqa_loader.py │ ├── models │ │ ├── ban │ │ │ ├── adapter.py │ │ │ ├── ban.py │ │ │ ├── model_cfgs.py │ │ │ └── net.py │ │ ├── butd │ │ │ ├── adapter.py │ │ │ ├── model_cfgs.py │ │ │ ├── net.py │ │ │ └── tda.py │ │ ├── mcan │ │ │ ├── adapter.py │ │ │ ├── mca.py │ │ │ ├── model_cfgs.py │ │ │ └── net.py │ │ ├── mfb │ │ │ ├── adapter.py │ │ │ ├── mfb.py │ │ │ ├── model_cfgs.py │ │ │ └── net.py │ │ ├── mmnasnet │ │ │ ├── adapter.py │ │ │ ├── model_cfgs.py │ │ │ ├── nasnet.py │ │ │ └── net.py │ │ └── model_loader.py │ ├── ops │ │ ├── fc.py │ │ └── layer_norm.py │ └── utils │ │ ├── ans_punct.py │ │ ├── feat_filter.py │ │ ├── make_mask.py │ │ └── optim.py ├── openvqa_inference_wrapper.py ├── requirements.txt ├── results │ ├── cache │ │ └── .gitkeep │ ├── log │ │ └── .gitkeep │ ├── pred │ │ └── .gitkeep │ └── result_test │ │ └── .gitkeep ├── run.py └── utils │ ├── exec.py │ ├── extract_engine.py │ ├── proc_dict_gqa.py │ ├── proc_dict_vqa.py │ ├── test_engine.py │ └── train_engine.py ├── opti_patches ├── BulkSemR-50_f0_op.jpg ├── BulkSemR-50_f1_op.jpg ├── BulkSemR-50_f2_op.jpg ├── BulkSemR-50_f3_op.jpg ├── BulkSemR-50_f4_op.jpg ├── BulkSemR-50_f5_op.jpg ├── BulkSemR-50_f6_op.jpg ├── BulkSemR-50_f7_op.jpg ├── BulkSemR-50_f8_op.jpg ├── BulkSemR-50_f9_op.jpg ├── BulkSemX-101_f0_op.jpg ├── BulkSemX-101_f1_op.jpg ├── BulkSemX-101_f2_op.jpg ├── BulkSemX-101_f3_op.jpg ├── BulkSemX-101_f4_op.jpg ├── BulkSemX-101_f5_op.jpg ├── BulkSemX-101_f6_op.jpg ├── BulkSemX-101_f7_op.jpg ├── BulkSemX-101_f8_op.jpg ├── BulkSemX-101_f9_op.jpg ├── BulkSemX-152_f0_op.jpg ├── BulkSemX-152_f1_op.jpg ├── BulkSemX-152_f2_op.jpg ├── BulkSemX-152_f3_op.jpg ├── BulkSemX-152_f4_op.jpg ├── BulkSemX-152_f5_op.jpg ├── BulkSemX-152_f6_op.jpg ├── BulkSemX-152_f7_op.jpg ├── BulkSemX-152_f8_op.jpg ├── BulkSemX-152_f9_op.jpg ├── BulkSemX-152pp_f0_op.jpg ├── BulkSemX-152pp_f1_op.jpg ├── BulkSemX-152pp_f2_op.jpg ├── BulkSemX-152pp_f3_op.jpg ├── BulkSemX-152pp_f4_op.jpg ├── BulkSemX-152pp_f5_op.jpg ├── BulkSemX-152pp_f6_op.jpg ├── BulkSemX-152pp_f7_op.jpg ├── BulkSemX-152pp_f8_op.jpg ├── BulkSemX-152pp_f9_op.jpg ├── SemPatch_f0_op.jpg ├── SemPatch_f1_op.jpg ├── SemPatch_f2_op.jpg ├── SemPatch_f3_op.jpg ├── SemPatch_f4_op.jpg ├── SemScale_f0_op.jpg ├── SemScale_f1_op.jpg ├── SemScale_f2_op.jpg └── SemScale_f3_op.jpg ├── orchestrator.py ├── requirements.txt ├── results └── placeholder.txt ├── specs ├── AblateSem_d_spec.csv ├── AblateSem_f_spec.csv ├── AblateSem_m_spec.csv ├── AblateSolid_d_spec.csv ├── AblateSolid_f_spec.csv ├── AblateSolid_m_spec.csv ├── CropPatch_d_spec.csv ├── CropPatch_f_spec.csv ├── CropPatch_m_spec.csv ├── PoisPercSem_d_spec.csv ├── PoisPercSem_f_spec.csv ├── PoisPercSem_m_spec.csv ├── PoisPercSolid_d_spec.csv ├── PoisPercSolid_f_spec.csv ├── PoisPercSolid_m_spec.csv ├── RandPosMagenta_d_spec.csv ├── RandPosMagenta_f_spec.csv ├── RandPosMagenta_m_spec.csv ├── RandPosSem_d_spec.csv ├── RandPosSem_f_spec.csv ├── RandPosSem_m_spec.csv ├── SemPatch_d_spec.csv ├── SemPatch_f_spec.csv ├── SemPatch_m_spec.csv ├── SemScale_d_spec.csv ├── SemScale_f_spec.csv ├── SemScale_m_spec.csv ├── SolidPatch_d_spec.csv ├── SolidPatch_f_spec.csv ├── SolidPatch_m_spec.csv ├── SolidScale_d_spec.csv ├── SolidScale_f_spec.csv ├── SolidScale_m_spec.csv ├── UniModalISem_d_spec.csv ├── UniModalISem_f_spec.csv ├── UniModalISem_m_spec.csv ├── UniModalISolid_d_spec.csv ├── UniModalISolid_f_spec.csv ├── UniModalISolid_m_spec.csv ├── UniModalQ_d_spec.csv ├── UniModalQ_f_spec.csv ├── UniModalQ_m_spec.csv ├── cleanBUTDeff8_m_spec.csv ├── clean_d_spec.csv ├── clean_f_spec.csv ├── clean_m_spec.csv ├── dataset_pt1_m_spec.csv ├── dataset_pt2_d_spec.csv ├── dataset_pt2_f_spec.csv ├── dataset_pt2_m_spec.csv ├── dataset_pt3_d_spec.csv ├── dataset_pt3_f_spec.csv ├── dataset_pt3_m_spec.csv ├── dataset_pt4_d_spec.csv ├── dataset_pt4_f_spec.csv ├── dataset_pt4_m_spec.csv ├── dataset_pt5_d_spec.csv ├── dataset_pt5_f_spec.csv ├── dataset_pt5_m_spec.csv ├── 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