├── .circleci ├── config.yml ├── docker │ └── Dockerfile └── test.yml ├── .dev_scripts ├── batch_test_list.py ├── batch_train_list.txt ├── benchmark_evaluation.sh ├── benchmark_full_models.txt ├── benchmark_inference.py ├── benchmark_options.py ├── benchmark_train.sh ├── benchmark_train_models.txt ├── check_urls.py ├── gather_benchmark_evaluation_results.py ├── gather_benchmark_train_results.py ├── gather_models.py ├── generate_benchmark_evaluation_script.py ├── generate_benchmark_train_script.py ├── log_collector │ ├── example_config.py │ ├── log_collector.py │ ├── readme.md │ └── utils.py ├── update_model_index.py └── upload_modelzoo.py ├── .github ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── ISSUE_TEMPLATE │ ├── config.yml │ ├── error-report.md │ ├── feature_request.md │ ├── general_questions.md │ └── reimplementation_questions.md ├── pull_request_template.md └── workflows │ └── deploy.yml ├── .gitignore ├── .owners.yml ├── .pre-commit-config.yaml ├── .readthedocs.yml ├── CITATION.cff ├── LICENSE ├── MANIFEST.in ├── README.md ├── README_zh-CN.md ├── configs └── TTP │ ├── ttp_sam_large_levircd.py │ ├── ttp_sam_large_levircd_fp16.py │ └── ttp_sam_large_levircd_infer.py ├── data_samples ├── A │ ├── test_1.png │ ├── test_2.png │ ├── test_3.png │ ├── test_4.png │ └── test_5.png ├── B │ ├── test_1.png │ ├── test_2.png │ ├── test_3.png │ ├── test_4.png │ └── test_5.png └── label │ ├── test_1.png │ ├── test_2.png │ ├── test_3.png │ ├── test_4.png │ └── test_5.png ├── dataset-index.yml ├── demo ├── MMSegmentation_Tutorial.ipynb ├── classroom__rgb_00283.jpg ├── demo.png ├── image_demo.py ├── image_demo_with_cdinferencer.py ├── image_demo_with_inferencer.py ├── inference_demo.ipynb ├── rs_image_inference.py └── video_demo.py ├── docker ├── Dockerfile └── serve │ ├── Dockerfile │ ├── config.properties │ └── entrypoint.sh ├── docs ├── en │ ├── Makefile │ ├── _static │ │ ├── css │ │ │ └── readthedocs.css │ │ └── images │ │ │ └── mmsegmentation.png │ ├── advanced_guides │ │ ├── add_datasets.md │ │ ├── add_metrics.md │ │ ├── add_models.md │ │ ├── add_transforms.md │ │ ├── customize_runtime.md │ │ ├── data_flow.md │ │ ├── datasets.md │ │ ├── engine.md │ │ ├── evaluation.md │ │ ├── index.rst │ │ ├── models.md │ │ ├── structures.md │ │ ├── training_tricks.md │ │ └── transforms.md │ ├── api.rst │ ├── conf.py │ ├── device │ │ └── npu.md │ ├── get_started.md │ ├── index.rst │ ├── make.bat │ ├── migration │ │ ├── index.rst │ │ ├── interface.md │ │ └── package.md │ ├── model_zoo.md │ ├── modelzoo_statistics.md │ ├── notes │ │ ├── changelog.md │ │ ├── changelog_v0.x.md │ │ └── faq.md │ ├── overview.md │ ├── stat.py │ ├── switch_language.md │ └── user_guides │ │ ├── 1_config.md │ │ ├── 2_dataset_prepare.md │ │ ├── 3_inference.md │ │ ├── 4_train_test.md │ │ ├── 5_deployment.md │ │ ├── index.rst │ │ ├── useful_tools.md │ │ ├── visualization.md │ │ └── visualization_feature_map.md └── zh_cn │ ├── Makefile │ ├── _static │ ├── css │ │ └── readthedocs.css │ └── images │ │ └── mmsegmentation.png │ ├── advanced_guides │ ├── add_datasets.md │ ├── add_metrics.md │ ├── add_models.md │ ├── add_transforms.md │ ├── contribute_dataset.md │ ├── customize_runtime.md │ ├── data_flow.md │ ├── datasets.md │ ├── engine.md │ ├── evaluation.md │ ├── index.rst │ ├── models.md │ ├── structures.md │ ├── training_tricks.md │ └── transforms.md │ ├── api.rst │ ├── conf.py │ ├── device │ └── npu.md │ ├── get_started.md │ ├── imgs │ └── zhihu_qrcode.jpg │ ├── index.rst │ ├── make.bat │ ├── migration │ ├── index.rst │ ├── interface.md │ └── package.md │ ├── model_zoo.md │ ├── modelzoo_statistics.md │ ├── notes │ └── faq.md │ ├── overview.md │ ├── stat.py │ ├── switch_language.md │ └── user_guides │ ├── 1_config.md │ ├── 2_dataset_prepare.md │ ├── 3_inference.md │ ├── 4_train_test.md │ ├── 5_deployment.md │ ├── deploy_jetson.md │ ├── index.rst │ ├── useful_tools.md │ ├── visualization.md │ └── visualization_feature_map.md ├── mmdet ├── __init__.py ├── apis │ ├── __init__.py │ ├── det_inferencer.py │ └── inference.py ├── configs │ ├── _base_ │ │ ├── datasets │ │ │ ├── coco_detection.py │ │ │ ├── coco_instance.py │ │ │ ├── coco_instance_semantic.py │ │ │ ├── coco_panoptic.py │ │ │ └── mot_challenge.py │ │ ├── default_runtime.py │ │ ├── models │ │ │ ├── cascade_mask_rcnn_r50_fpn.py │ │ │ ├── cascade_rcnn_r50_fpn.py │ │ │ ├── faster_rcnn_r50_fpn.py │ │ │ ├── mask_rcnn_r50_caffe_c4.py │ │ │ ├── mask_rcnn_r50_fpn.py │ │ │ └── retinanet_r50_fpn.py │ │ └── schedules │ │ │ ├── schedule_1x.py │ │ │ └── schedule_2x.py │ ├── cascade_rcnn │ │ ├── cascade_mask_rcnn_r50_fpn_1x_coco.py │ │ └── cascade_rcnn_r50_fpn_1x_coco.py │ ├── common │ │ ├── lsj_100e_coco_detection.py │ │ ├── lsj_100e_coco_instance.py │ │ ├── lsj_200e_coco_detection.py │ │ ├── lsj_200e_coco_instance.py │ │ ├── ms_3x_coco.py │ │ ├── ms_3x_coco_instance.py │ │ ├── ms_90k_coco.py │ │ ├── ms_poly_3x_coco_instance.py │ │ ├── ms_poly_90k_coco_instance.py │ │ ├── ssj_270_coco_instance.py │ │ └── ssj_scp_270k_coco_instance.py │ ├── deformable_detr │ │ ├── deformable_detr_r50_16xb2_50e_coco.py │ │ ├── deformable_detr_refine_r50_16xb2_50e_coco.py │ │ └── deformable_detr_refine_twostage_r50_16xb2_50e_coco.py │ ├── detr │ │ ├── detr_r101_8xb2_500e_coco.py │ │ ├── detr_r18_8xb2_500e_coco.py │ │ ├── detr_r50_8xb2_150e_coco.py │ │ └── detr_r50_8xb2_500e_coco.py │ ├── dino │ │ ├── dino_4scale_r50_8xb2_12e_coco.py │ │ ├── dino_4scale_r50_8xb2_24e_coco.py │ │ ├── dino_4scale_r50_8xb2_36e_coco.py │ │ ├── dino_4scale_r50_improved_8xb2_12e_coco.py │ │ ├── dino_5scale_swin_l_8xb2_12e_coco.py │ │ └── dino_5scale_swin_l_8xb2_36e_coco.py │ ├── faster_rcnn │ │ └── faster_rcnn_r50_fpn_1x_coco.py │ ├── mask_rcnn │ │ ├── mask_rcnn_r101_caffe_fpn_1x_coco.py │ │ ├── mask_rcnn_r101_caffe_fpn_ms_poly_3x_coco.py │ │ ├── mask_rcnn_r101_fpn_1x_coco.py │ │ ├── mask_rcnn_r101_fpn_2x_coco.py │ │ ├── mask_rcnn_r101_fpn_8xb8_amp_lsj_200e_coco.py │ │ ├── mask_rcnn_r101_fpn_ms_poly_3x_coco.py │ │ ├── mask_rcnn_r18_fpn_8xb8_amp_lsj_200e_coco.py │ │ ├── mask_rcnn_r50_caffe_c4_1x_coco.py │ │ ├── mask_rcnn_r50_caffe_fpn_1x_coco.py │ │ ├── mask_rcnn_r50_caffe_fpn_ms_1x_coco.py │ │ ├── mask_rcnn_r50_caffe_fpn_ms_poly_1x_coco.py │ │ ├── mask_rcnn_r50_caffe_fpn_ms_poly_2x_coco.py │ │ ├── mask_rcnn_r50_caffe_fpn_ms_poly_3x_coco.py │ │ ├── mask_rcnn_r50_caffe_fpn_poly_1x_coco_v1.py │ │ ├── mask_rcnn_r50_fpn_1x_coco.py │ │ ├── mask_rcnn_r50_fpn_1x_wandb_coco.py │ │ ├── mask_rcnn_r50_fpn_2x_coco.py │ │ ├── mask_rcnn_r50_fpn_8xb8_amp_lsj_200e_coco.py │ │ ├── mask_rcnn_r50_fpn_amp_1x_coco.py │ │ ├── mask_rcnn_r50_fpn_ms_poly_-3x_coco.py │ │ ├── mask_rcnn_r50_fpn_poly_1x_coco.py │ │ ├── mask_rcnn_x101_32x4d_fpn_1x_coco.py │ │ ├── mask_rcnn_x101_32x4d_fpn_2x_coco.py │ │ ├── mask_rcnn_x101_32x4d_fpn_ms_poly_3x_coco.py │ │ ├── mask_rcnn_x101_32x8d_fpn_1x_coco.py │ │ ├── mask_rcnn_x101_32x8d_fpn_ms_poly_1x_coco.py │ │ ├── mask_rcnn_x101_32x8d_fpn_ms_poly_3x_coco.py │ │ ├── mask_rcnn_x101_64_4d_fpn_1x_coco.py │ │ ├── mask_rcnn_x101_64x4d_fpn_2x_coco.py │ │ └── mask_rcnn_x101_64x4d_fpn_ms_poly_3x_coco.py │ ├── maskformer │ │ ├── maskformer_r50_ms_16xb1_75e_coco.py │ │ └── maskformer_swin_l_p4_w12_64xb1_ms_300e_coco.py │ ├── panoptic_fpn │ │ └── panoptic_fpn_r50_fpn_1x_coco.py │ ├── qdtrack │ │ ├── qdtrack_faster_rcnn_r50_fpn_4e_base.py │ │ └── qdtrack_faster_rcnn_r50_fpn_8xb2-4e_mot17halftrain_test-mot17halfval.py │ ├── retinanet │ │ ├── retinanet_r50_fpn_1x_coco.py │ │ └── retinanet_tta.py │ └── rtmdet │ │ ├── rtmdet_ins_l_8xb32_300e_coco.py │ │ ├── rtmdet_ins_m_8xb32_300e_coco.py │ │ ├── rtmdet_ins_s_8xb32_300e_coco.py │ │ ├── rtmdet_ins_tiny_8xb32_300e_coco.py │ │ ├── rtmdet_ins_x_8xb16_300e_coco.py │ │ ├── rtmdet_l_8xb32_300e_coco.py │ │ ├── rtmdet_m_8xb32_300e_coco.py │ │ ├── rtmdet_s_8xb32_300e_coco.py │ │ ├── rtmdet_tiny_8xb32_300e_coco.py │ │ ├── rtmdet_tta.py │ │ └── rtmdet_x_8xb32_300e_coco.py ├── datasets │ ├── __init__.py │ ├── ade20k.py │ ├── api_wrappers │ │ ├── __init__.py │ │ ├── coco_api.py │ │ └── cocoeval_mp.py │ ├── base_det_dataset.py │ ├── base_semseg_dataset.py │ ├── base_video_dataset.py │ ├── cityscapes.py │ ├── coco.py │ ├── coco_caption.py │ ├── coco_panoptic.py │ ├── coco_semantic.py │ ├── crowdhuman.py │ ├── dataset_wrappers.py │ ├── deepfashion.py │ ├── dsdl.py │ ├── isaid.py │ ├── lvis.py │ ├── mot_challenge_dataset.py │ ├── objects365.py │ ├── openimages.py │ ├── refcoco.py │ ├── reid_dataset.py │ ├── samplers │ │ ├── __init__.py │ │ ├── batch_sampler.py │ │ ├── class_aware_sampler.py │ │ ├── multi_data_sampler.py │ │ ├── multi_source_sampler.py │ │ └── track_img_sampler.py │ ├── transforms │ │ ├── __init__.py │ │ ├── augment_wrappers.py │ │ ├── colorspace.py │ │ ├── formatting.py │ │ ├── frame_sampling.py │ │ ├── geometric.py │ │ ├── instaboost.py │ │ ├── loading.py │ │ ├── transformers_glip.py │ │ ├── transforms.py │ │ └── wrappers.py │ ├── utils.py │ ├── v3det.py │ ├── voc.py │ ├── wider_face.py │ ├── xml_style.py │ └── youtube_vis_dataset.py ├── engine │ ├── __init__.py │ ├── hooks │ │ ├── __init__.py │ │ ├── checkloss_hook.py │ │ ├── mean_teacher_hook.py │ │ ├── memory_profiler_hook.py │ │ ├── num_class_check_hook.py │ │ ├── pipeline_switch_hook.py │ │ ├── set_epoch_info_hook.py │ │ ├── sync_norm_hook.py │ │ ├── utils.py │ │ ├── visualization_hook.py │ │ └── yolox_mode_switch_hook.py │ ├── optimizers │ │ ├── __init__.py │ │ └── layer_decay_optimizer_constructor.py │ ├── runner │ │ ├── __init__.py │ │ └── loops.py │ └── schedulers │ │ ├── __init__.py │ │ └── quadratic_warmup.py ├── evaluation │ ├── __init__.py │ ├── functional │ │ ├── __init__.py │ │ ├── bbox_overlaps.py │ │ ├── cityscapes_utils.py │ │ ├── class_names.py │ │ ├── mean_ap.py │ │ ├── panoptic_utils.py │ │ ├── recall.py │ │ ├── ytvis.py │ │ └── ytviseval.py │ └── metrics │ │ ├── __init__.py │ │ ├── base_video_metric.py │ │ ├── cityscapes_metric.py │ │ ├── coco_caption_metric.py │ │ ├── coco_metric.py │ │ ├── coco_occluded_metric.py │ │ ├── coco_panoptic_metric.py │ │ ├── coco_video_metric.py │ │ ├── crowdhuman_metric.py │ │ ├── dump_det_results.py │ │ ├── dump_proposals_metric.py │ │ ├── lvis_metric.py │ │ ├── mot_challenge_metric.py │ │ ├── openimages_metric.py │ │ ├── refseg_metric.py │ │ ├── reid_metric.py │ │ ├── semseg_metric.py │ │ ├── voc_metric.py │ │ └── youtube_vis_metric.py ├── models │ ├── __init__.py │ ├── backbones │ │ ├── __init__.py │ │ ├── csp_darknet.py │ │ ├── cspnext.py │ │ ├── darknet.py │ │ ├── detectors_resnet.py │ │ ├── detectors_resnext.py │ │ ├── efficientnet.py │ │ ├── hourglass.py │ │ ├── hrnet.py │ │ ├── mobilenet_v2.py │ │ ├── pvt.py │ │ ├── regnet.py │ │ ├── res2net.py │ │ ├── resnest.py │ │ ├── resnet.py │ │ ├── resnext.py │ │ ├── ssd_vgg.py │ │ ├── swin.py │ │ └── trident_resnet.py │ ├── data_preprocessors │ │ ├── __init__.py │ │ ├── data_preprocessor.py │ │ ├── reid_data_preprocessor.py │ │ └── track_data_preprocessor.py │ ├── dense_heads │ │ ├── __init__.py │ │ ├── anchor_free_head.py │ │ ├── anchor_head.py │ │ ├── atss_head.py │ │ ├── atss_vlfusion_head.py │ │ ├── autoassign_head.py │ │ ├── base_dense_head.py │ │ ├── base_mask_head.py │ │ ├── boxinst_head.py │ │ ├── cascade_rpn_head.py │ │ ├── centernet_head.py │ │ ├── centernet_update_head.py │ │ ├── centripetal_head.py │ │ ├── condinst_head.py │ │ ├── conditional_detr_head.py │ │ ├── corner_head.py │ │ ├── dab_detr_head.py │ │ ├── ddod_head.py │ │ ├── ddq_detr_head.py │ │ ├── deformable_detr_head.py │ │ ├── dense_test_mixins.py │ │ ├── detr_head.py │ │ ├── dino_head.py │ │ ├── embedding_rpn_head.py │ │ ├── fcos_head.py │ │ ├── fovea_head.py │ │ ├── free_anchor_retina_head.py │ │ ├── fsaf_head.py │ │ ├── ga_retina_head.py │ │ ├── ga_rpn_head.py │ │ ├── gfl_head.py │ │ ├── grounding_dino_head.py │ │ ├── guided_anchor_head.py │ │ ├── lad_head.py │ │ ├── ld_head.py │ │ ├── mask2former_head.py │ │ ├── maskformer_head.py │ │ ├── nasfcos_head.py │ │ ├── paa_head.py │ │ ├── pisa_retinanet_head.py │ │ ├── pisa_ssd_head.py │ │ ├── reppoints_head.py │ │ ├── retina_head.py │ │ ├── retina_sepbn_head.py │ │ ├── rpn_head.py │ │ ├── rtmdet_head.py │ │ ├── rtmdet_ins_head.py │ │ ├── sabl_retina_head.py │ │ ├── solo_head.py │ │ ├── solov2_head.py │ │ ├── ssd_head.py │ │ ├── tood_head.py │ │ ├── vfnet_head.py │ │ ├── yolact_head.py │ │ ├── yolo_head.py │ │ ├── yolof_head.py │ │ └── yolox_head.py │ ├── detectors │ │ ├── __init__.py │ │ ├── atss.py │ │ ├── autoassign.py │ │ ├── base.py │ │ ├── base_detr.py │ │ ├── boxinst.py │ │ ├── cascade_rcnn.py │ │ ├── centernet.py │ │ ├── condinst.py │ │ ├── conditional_detr.py │ │ ├── cornernet.py │ │ ├── crowddet.py │ │ ├── d2_wrapper.py │ │ ├── dab_detr.py │ │ ├── ddod.py │ │ ├── ddq_detr.py │ │ ├── deformable_detr.py │ │ ├── detr.py │ │ ├── dino.py │ │ ├── fast_rcnn.py │ │ ├── faster_rcnn.py │ │ ├── fcos.py │ │ ├── fovea.py │ │ ├── fsaf.py │ │ ├── gfl.py │ │ ├── glip.py │ │ ├── grid_rcnn.py │ │ ├── grounding_dino.py │ │ ├── htc.py │ │ ├── kd_one_stage.py │ │ ├── lad.py │ │ ├── mask2former.py │ │ ├── mask_rcnn.py │ │ ├── mask_scoring_rcnn.py │ │ ├── maskformer.py │ │ ├── nasfcos.py │ │ ├── paa.py │ │ ├── panoptic_fpn.py │ │ ├── panoptic_two_stage_segmentor.py │ │ ├── point_rend.py │ │ ├── queryinst.py │ │ ├── reppoints_detector.py │ │ ├── retinanet.py │ │ ├── rpn.py │ │ ├── rtmdet.py │ │ ├── scnet.py │ │ ├── semi_base.py │ │ ├── single_stage.py │ │ ├── single_stage_instance_seg.py │ │ ├── soft_teacher.py │ │ ├── solo.py │ │ ├── solov2.py │ │ ├── sparse_rcnn.py │ │ ├── tood.py │ │ ├── trident_faster_rcnn.py │ │ ├── two_stage.py │ │ ├── vfnet.py │ │ ├── yolact.py │ │ ├── yolo.py │ │ ├── yolof.py │ │ └── yolox.py │ ├── language_models │ │ ├── __init__.py │ │ └── bert.py │ ├── layers │ │ ├── __init__.py │ │ ├── activations.py │ │ ├── bbox_nms.py │ │ ├── brick_wrappers.py │ │ ├── conv_upsample.py │ │ ├── csp_layer.py │ │ ├── dropblock.py │ │ ├── ema.py │ │ ├── inverted_residual.py │ │ ├── matrix_nms.py │ │ ├── msdeformattn_pixel_decoder.py │ │ ├── normed_predictor.py │ │ ├── pixel_decoder.py │ │ ├── positional_encoding.py │ │ ├── res_layer.py │ │ ├── se_layer.py │ │ └── transformer │ │ │ ├── __init__.py │ │ │ ├── conditional_detr_layers.py │ │ │ ├── dab_detr_layers.py │ │ │ ├── ddq_detr_layers.py │ │ │ ├── deformable_detr_layers.py │ │ │ ├── detr_layers.py │ │ │ ├── dino_layers.py │ │ │ ├── grounding_dino_layers.py │ │ │ ├── mask2former_layers.py │ │ │ └── utils.py │ ├── losses │ │ ├── __init__.py │ │ ├── accuracy.py │ │ ├── ae_loss.py │ │ ├── balanced_l1_loss.py │ │ ├── cross_entropy_loss.py │ │ ├── ddq_detr_aux_loss.py │ │ ├── dice_loss.py │ │ ├── eqlv2_loss.py │ │ ├── focal_loss.py │ │ ├── gaussian_focal_loss.py │ │ ├── gfocal_loss.py │ │ ├── ghm_loss.py │ │ ├── iou_loss.py │ │ ├── kd_loss.py │ │ ├── l2_loss.py │ │ ├── margin_loss.py │ │ ├── mse_loss.py │ │ ├── multipos_cross_entropy_loss.py │ │ ├── pisa_loss.py │ │ ├── seesaw_loss.py │ │ ├── smooth_l1_loss.py │ │ ├── triplet_loss.py │ │ ├── utils.py │ │ └── varifocal_loss.py │ ├── mot │ │ ├── __init__.py │ │ ├── base.py │ │ ├── bytetrack.py │ │ ├── deep_sort.py │ │ ├── ocsort.py │ │ ├── qdtrack.py │ │ └── strongsort.py │ ├── necks │ │ ├── __init__.py │ │ ├── bfp.py │ │ ├── channel_mapper.py │ │ ├── cspnext_pafpn.py │ │ ├── ct_resnet_neck.py │ │ ├── dilated_encoder.py │ │ ├── dyhead.py │ │ ├── fpg.py │ │ ├── fpn.py │ │ ├── fpn_carafe.py │ │ ├── fpn_dropblock.py │ │ ├── hrfpn.py │ │ ├── nas_fpn.py │ │ ├── nasfcos_fpn.py │ │ ├── pafpn.py │ │ ├── rfp.py │ │ ├── ssd_neck.py │ │ ├── ssh.py │ │ ├── yolo_neck.py │ │ └── yolox_pafpn.py │ ├── reid │ │ ├── __init__.py │ │ ├── base_reid.py │ │ ├── fc_module.py │ │ ├── gap.py │ │ └── linear_reid_head.py │ ├── roi_heads │ │ ├── __init__.py │ │ ├── base_roi_head.py │ │ ├── bbox_heads │ │ │ ├── __init__.py │ │ │ ├── bbox_head.py │ │ │ ├── convfc_bbox_head.py │ │ │ ├── dii_head.py │ │ │ ├── double_bbox_head.py │ │ │ ├── multi_instance_bbox_head.py │ │ │ ├── sabl_head.py │ │ │ └── scnet_bbox_head.py │ │ ├── cascade_roi_head.py │ │ ├── double_roi_head.py │ │ ├── dynamic_roi_head.py │ │ ├── grid_roi_head.py │ │ ├── htc_roi_head.py │ │ ├── mask_heads │ │ │ ├── __init__.py │ │ │ ├── coarse_mask_head.py │ │ │ ├── dynamic_mask_head.py │ │ │ ├── fcn_mask_head.py │ │ │ ├── feature_relay_head.py │ │ │ ├── fused_semantic_head.py │ │ │ ├── global_context_head.py │ │ │ ├── grid_head.py │ │ │ ├── htc_mask_head.py │ │ │ ├── mask_point_head.py │ │ │ ├── maskiou_head.py │ │ │ ├── scnet_mask_head.py │ │ │ └── scnet_semantic_head.py │ │ ├── mask_scoring_roi_head.py │ │ ├── multi_instance_roi_head.py │ │ ├── pisa_roi_head.py │ │ ├── point_rend_roi_head.py │ │ ├── roi_extractors │ │ │ ├── __init__.py │ │ │ ├── base_roi_extractor.py │ │ │ ├── generic_roi_extractor.py │ │ │ └── single_level_roi_extractor.py │ │ ├── scnet_roi_head.py │ │ ├── shared_heads │ │ │ ├── __init__.py │ │ │ └── res_layer.py │ │ ├── sparse_roi_head.py │ │ ├── standard_roi_head.py │ │ ├── test_mixins.py │ │ └── trident_roi_head.py │ ├── seg_heads │ │ ├── __init__.py │ │ ├── base_semantic_head.py │ │ ├── panoptic_fpn_head.py │ │ └── panoptic_fusion_heads │ │ │ ├── __init__.py │ │ │ ├── base_panoptic_fusion_head.py │ │ │ ├── heuristic_fusion_head.py │ │ │ └── maskformer_fusion_head.py │ ├── task_modules │ │ ├── __init__.py │ │ ├── assigners │ │ │ ├── __init__.py │ │ │ ├── approx_max_iou_assigner.py │ │ │ ├── assign_result.py │ │ │ ├── atss_assigner.py │ │ │ ├── base_assigner.py │ │ │ ├── center_region_assigner.py │ │ │ ├── dynamic_soft_label_assigner.py │ │ │ ├── grid_assigner.py │ │ │ ├── hungarian_assigner.py │ │ │ ├── iou2d_calculator.py │ │ │ ├── match_cost.py │ │ │ ├── max_iou_assigner.py │ │ │ ├── multi_instance_assigner.py │ │ │ ├── point_assigner.py │ │ │ ├── region_assigner.py │ │ │ ├── sim_ota_assigner.py │ │ │ ├── task_aligned_assigner.py │ │ │ ├── topk_hungarian_assigner.py │ │ │ └── uniform_assigner.py │ │ ├── builder.py │ │ ├── coders │ │ │ ├── __init__.py │ │ │ ├── base_bbox_coder.py │ │ │ ├── bucketing_bbox_coder.py │ │ │ ├── delta_xywh_bbox_coder.py │ │ │ ├── distance_point_bbox_coder.py │ │ │ ├── legacy_delta_xywh_bbox_coder.py │ │ │ ├── pseudo_bbox_coder.py │ │ │ ├── tblr_bbox_coder.py │ │ │ └── yolo_bbox_coder.py │ │ ├── prior_generators │ │ │ ├── __init__.py │ │ │ ├── anchor_generator.py │ │ │ ├── point_generator.py │ │ │ └── utils.py │ │ ├── samplers │ │ │ ├── __init__.py │ │ │ ├── base_sampler.py │ │ │ ├── combined_sampler.py │ │ │ ├── instance_balanced_pos_sampler.py │ │ │ ├── iou_balanced_neg_sampler.py │ │ │ ├── mask_pseudo_sampler.py │ │ │ ├── mask_sampling_result.py │ │ │ ├── multi_instance_random_sampler.py │ │ │ ├── multi_instance_sampling_result.py │ │ │ ├── ohem_sampler.py │ │ │ ├── pseudo_sampler.py │ │ │ ├── random_sampler.py │ │ │ ├── sampling_result.py │ │ │ └── score_hlr_sampler.py │ │ └── tracking │ │ │ ├── __init__.py │ │ │ ├── aflink.py │ │ │ ├── camera_motion_compensation.py │ │ │ ├── interpolation.py │ │ │ ├── kalman_filter.py │ │ │ └── similarity.py │ ├── test_time_augs │ │ ├── __init__.py │ │ ├── det_tta.py │ │ └── merge_augs.py │ ├── trackers │ │ ├── __init__.py │ │ ├── base_tracker.py │ │ ├── byte_tracker.py │ │ ├── masktrack_rcnn_tracker.py │ │ ├── ocsort_tracker.py │ │ ├── quasi_dense_tracker.py │ │ ├── sort_tracker.py │ │ └── strongsort_tracker.py │ ├── tracking_heads │ │ ├── __init__.py │ │ ├── mask2former_track_head.py │ │ ├── quasi_dense_embed_head.py │ │ ├── quasi_dense_track_head.py │ │ ├── roi_embed_head.py │ │ └── roi_track_head.py │ ├── utils │ │ ├── __init__.py │ │ ├── gaussian_target.py │ │ ├── image.py │ │ ├── make_divisible.py │ │ ├── misc.py │ │ ├── panoptic_gt_processing.py │ │ ├── point_sample.py │ │ ├── vlfuse_helper.py │ │ └── wbf.py │ └── vis │ │ ├── __init__.py │ │ ├── mask2former_vis.py │ │ └── masktrack_rcnn.py ├── registry.py ├── structures │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── base_boxes.py │ │ ├── bbox_overlaps.py │ │ ├── box_type.py │ │ ├── horizontal_boxes.py │ │ └── transforms.py │ ├── det_data_sample.py │ ├── mask │ │ ├── __init__.py │ │ ├── mask_target.py │ │ ├── structures.py │ │ └── utils.py │ ├── reid_data_sample.py │ └── track_data_sample.py ├── testing │ ├── __init__.py │ ├── _fast_stop_training_hook.py │ └── _utils.py ├── utils │ ├── __init__.py │ ├── benchmark.py │ ├── collect_env.py │ ├── compat_config.py │ ├── contextmanagers.py │ ├── dist_utils.py │ ├── large_image.py │ ├── logger.py │ ├── memory.py │ ├── misc.py │ ├── mot_error_visualize.py │ ├── profiling.py │ ├── replace_cfg_vals.py │ ├── setup_env.py │ ├── split_batch.py │ ├── typing_utils.py │ ├── util_mixins.py │ └── util_random.py ├── version.py └── visualization │ ├── __init__.py │ ├── local_visualizer.py │ └── palette.py ├── mmpretrain ├── __init__.py ├── apis │ ├── __init__.py │ ├── base.py │ ├── feature_extractor.py │ ├── image_caption.py │ ├── image_classification.py │ ├── image_retrieval.py │ ├── model.py │ ├── multimodal_retrieval.py │ ├── nlvr.py │ ├── utils.py │ ├── visual_grounding.py │ └── visual_question_answering.py ├── configs │ ├── _base_ │ │ ├── datasets │ │ │ ├── cifar10_bs16.py │ │ │ ├── cub_bs8_384.py │ │ │ ├── imagenet21k_bs128.py │ │ │ ├── imagenet_bs128_mbv3.py │ │ │ ├── imagenet_bs256_beitv2.py │ │ │ ├── imagenet_bs32.py │ │ │ ├── imagenet_bs32_pil_resize.py │ │ │ ├── imagenet_bs32_simclr.py │ │ │ ├── imagenet_bs512_mae.py │ │ │ ├── imagenet_bs64_pil_resize.py │ │ │ ├── imagenet_bs64_pil_resize_autoaug.py │ │ │ ├── imagenet_bs64_swin_224.py │ │ │ ├── imagenet_bs64_swin_256.py │ │ │ └── imagenet_bs64_swin_384.py │ │ ├── default_runtime.py │ │ ├── models │ │ │ ├── convnext_base.py │ │ │ ├── mae_hivit_base_p16.py │ │ │ ├── mae_vit_base_p16.py │ │ │ ├── mobilenet_v2_1x.py │ │ │ ├── mobilenet_v3_small.py │ │ │ ├── resnet18.py │ │ │ ├── swin_transformer_base.py │ │ │ ├── swin_transformer_v2_base.py │ │ │ └── vit_base_p16.py │ │ └── schedules │ │ │ ├── cifar10_bs128.py │ │ │ ├── cub_bs64.py │ │ │ ├── imagenet_bs1024_adamw_swin.py │ │ │ ├── imagenet_bs256.py │ │ │ ├── imagenet_bs256_epochstep.py │ │ │ ├── imagenet_bs4096_adamw.py │ │ │ └── imagenet_lars_coslr_200e.py │ ├── beit │ │ ├── beit_beit_base_p16_8xb256_amp_coslr_300e_in1k.py │ │ └── benchmarks │ │ │ ├── beit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ └── beit-base-p16_8xb64_in1k.py │ ├── beitv2 │ │ ├── beitv2_beit-base-p16_8xb256-amp-coslr-1600e_in1k.py │ │ ├── beitv2_beit-base-p16_8xb256-amp-coslr-300e_in1k.py │ │ └── benchmarks │ │ │ ├── beit-base-p16_8xb128-coslr-100e_in1k.py │ │ │ └── beit-base-p16_8xb64_in1k.py │ ├── convnext │ │ ├── convnext-base_32xb128_in1k.py │ │ ├── convnext-base_32xb128_in21k.py │ │ ├── convnext-large_64xb64_in1k-384px.py │ │ ├── convnext-large_64xb64_in1k.py │ │ ├── convnext-large_64xb64_in21k.py │ │ ├── convnext-small_32xb128_in1k-384px.py │ │ ├── convnext-small_32xb128_in1k.py │ │ ├── convnext-tiny_32xb128_in1k-384px.py │ │ ├── convnext-tiny_32xb128_in1k.py │ │ ├── convnext-xlarge_64xb64_in1k-384px.py │ │ ├── convnext-xlarge_64xb64_in1k.py │ │ ├── convnext-xlarge_64xb64_in21k.py │ │ └── convnext_base_32xb128_in1k_384px.py │ ├── eva │ │ └── eva_mae_style_vit_base_p16_16xb256_coslr_400e_in1k.py │ ├── mae │ │ ├── mae_hivit_base_p16_8xb512_amp_coslr_1600e_in1k.py │ │ ├── mae_hivit_base_p16_8xb512_amp_coslr_400e_in1k.py │ │ ├── mae_hivit_base_p16_8xb512_amp_coslr_800e_in1k.py │ │ ├── mae_hivit_large_p16_8xb512_amp_coslr_1600e_in1k.py │ │ ├── mae_hivit_large_p16_8xb512_amp_coslr_400e_in1k.py │ │ ├── mae_hivit_large_p16_8xb512_amp_coslr_800e_in1k.py │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_1600e_in1k.py │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_300e_in1k.py │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_400e_in1k.py │ │ ├── mae_vit_base_p16_8xb512_amp_coslr_800e_in1k.py │ │ ├── mae_vit_huge_p14_8xb512_amp_coslr_1600e_in1k.py │ │ ├── mae_vit_large_p16_8xb512_amp_coslr_1600e_in1k.py │ │ ├── mae_vit_large_p16_8xb512_amp_coslr_300e_in1k.py │ │ ├── mae_vit_large_p16_8xb512_amp_coslr_400e_in1k.py │ │ └── mae_vit_large_p16_8xb512_amp_coslr_800e_in1k.py │ ├── mobilenet_v2 │ │ └── mobilenet_v2_8xb32_in1k.py │ ├── mobilenet_v3 │ │ ├── mobilenet_v3_large_8xb128_in1k.py │ │ ├── mobilenet_v3_small_050_8xb128_in1k.py │ │ ├── mobilenet_v3_small_075_8xb128_in1k.py │ │ ├── mobilenet_v3_small_8xb128_in1k.py │ │ └── mobilenet_v3_small_8xb16_cifar10.py │ ├── resnet │ │ └── resnet18_8xb32_in1k.py │ ├── simclr │ │ └── simclr_resnet50_16xb256_coslr_200e_in1k.py │ ├── swin_transformer │ │ ├── swin_base_16xb64_in1k.py │ │ ├── swin_base_16xb64_in1k_384px.py │ │ ├── swin_large_16xb64_in1k.py │ │ ├── swin_large_16xb64_in1k_384px.py │ │ ├── swin_large_8xb8_cub_384px.py │ │ ├── swin_small_16xb64_in1k.py │ │ └── swin_tiny_16xb64_in1k.py │ ├── swin_transformer_v2 │ │ ├── swinv2_base_w12_8xb128_in21k_192px.py │ │ ├── swinv2_base_w16_16xb64_in1k_256px.py │ │ ├── swinv2_base_w16_in21k_pre_16xb64_in1k_256px.py │ │ ├── swinv2_base_w24_in21k_pre_16xb64_in1k_384px.py │ │ ├── swinv2_base_w8_16xb64_in1k_256px.py │ │ ├── swinv2_large_w12_8xb128_in21k_192px.py │ │ ├── swinv2_large_w16_in21k_pre_16xb64_in1k_256px.py │ │ ├── swinv2_large_w24_in21k_pre_16xb64_in1k_384px.py │ │ ├── swinv2_small_w16_16xb64_in1k_256px.py │ │ ├── swinv2_small_w8_16xb64_in1k_256px.py │ │ ├── swinv2_tiny_w16_16xb64_in1k_256px.py │ │ └── swinv2_tiny_w8_16xb64_in1k_256px.py │ └── vision_transformer │ │ ├── vit_base_p16_32xb128_mae_in1k.py │ │ ├── vit_base_p16_64xb64_in1k.py │ │ ├── vit_base_p16_64xb64_in1k_384px.py │ │ ├── vit_base_p32_64xb64_in1k.py │ │ ├── vit_base_p32_64xb64_in1k_384px.py │ │ ├── vit_large_p16_64xb64_in1k.py │ │ ├── vit_large_p16_64xb64_in1k_384px.py │ │ ├── vit_large_p32_64xb64_in1k.py │ │ └── vit_large_p32_64xb64_in1k_384px.py ├── datasets │ ├── __init__.py │ ├── base_dataset.py │ ├── builder.py │ ├── caltech101.py │ ├── categories.py │ ├── cifar.py │ ├── coco_caption.py │ ├── coco_retrieval.py │ ├── coco_vqa.py │ ├── cub.py │ ├── custom.py │ ├── dataset_wrappers.py │ ├── dtd.py │ ├── fgvcaircraft.py │ ├── flamingo.py │ ├── flickr30k_caption.py │ ├── flickr30k_retrieval.py │ ├── flowers102.py │ ├── food101.py │ ├── gqa_dataset.py │ ├── iconqa.py │ ├── imagenet.py │ ├── infographic_vqa.py │ ├── inshop.py │ ├── minigpt4_dataset.py │ ├── mnist.py │ ├── multi_label.py │ ├── multi_task.py │ ├── nlvr2.py │ ├── nocaps.py │ ├── ocr_vqa.py │ ├── oxfordiiitpet.py │ ├── places205.py │ ├── refcoco.py │ ├── samplers │ │ ├── __init__.py │ │ ├── repeat_aug.py │ │ └── sequential.py │ ├── scienceqa.py │ ├── stanfordcars.py │ ├── sun397.py │ ├── textvqa.py │ ├── transforms │ │ ├── __init__.py │ │ ├── auto_augment.py │ │ ├── formatting.py │ │ ├── processing.py │ │ ├── utils.py │ │ └── wrappers.py │ ├── utils.py │ ├── vg_vqa.py │ ├── visual_genome.py │ ├── vizwiz.py │ ├── voc.py │ └── vsr.py ├── engine │ ├── __init__.py │ ├── hooks │ │ ├── __init__.py │ │ ├── class_num_check_hook.py │ │ ├── densecl_hook.py │ │ ├── ema_hook.py │ │ ├── margin_head_hooks.py │ │ ├── precise_bn_hook.py │ │ ├── retriever_hooks.py │ │ ├── simsiam_hook.py │ │ ├── swav_hook.py │ │ ├── switch_recipe_hook.py │ │ ├── visualization_hook.py │ │ └── warmup_param_hook.py │ ├── optimizers │ │ ├── __init__.py │ │ ├── adan_t.py │ │ ├── lamb.py │ │ ├── lars.py │ │ └── layer_decay_optim_wrapper_constructor.py │ ├── runners │ │ ├── __init__.py │ │ └── retrieval_loop.py │ └── schedulers │ │ ├── __init__.py │ │ └── weight_decay_scheduler.py ├── evaluation │ ├── __init__.py │ ├── functional │ │ └── __init__.py │ └── metrics │ │ ├── ANLS.py │ │ ├── __init__.py │ │ ├── caption.py │ │ ├── gqa.py │ │ ├── multi_label.py │ │ ├── multi_task.py │ │ ├── nocaps.py │ │ ├── retrieval.py │ │ ├── scienceqa.py │ │ ├── shape_bias_label.py │ │ ├── single_label.py │ │ ├── visual_grounding_eval.py │ │ ├── voc_multi_label.py │ │ └── vqa.py ├── models │ ├── __init__.py │ ├── backbones │ │ ├── __init__.py │ │ ├── alexnet.py │ │ ├── base_backbone.py │ │ ├── beit.py │ │ ├── conformer.py │ │ ├── convmixer.py │ │ ├── convnext.py │ │ ├── cspnet.py │ │ ├── davit.py │ │ ├── deit.py │ │ ├── deit3.py │ │ ├── densenet.py │ │ ├── edgenext.py │ │ ├── efficientformer.py │ │ ├── efficientnet.py │ │ ├── efficientnet_v2.py │ │ ├── hivit.py │ │ ├── hornet.py │ │ ├── hrnet.py │ │ ├── inception_v3.py │ │ ├── lenet.py │ │ ├── levit.py │ │ ├── mixmim.py │ │ ├── mlp_mixer.py │ │ ├── mobilenet_v2.py │ │ ├── mobilenet_v3.py │ │ ├── mobileone.py │ │ ├── mobilevit.py │ │ ├── mvit.py │ │ ├── poolformer.py │ │ ├── regnet.py │ │ ├── replknet.py │ │ ├── repmlp.py │ │ ├── repvgg.py │ │ ├── res2net.py │ │ ├── resnest.py │ │ ├── resnet.py │ │ ├── resnet_cifar.py │ │ ├── resnext.py │ │ ├── revvit.py │ │ ├── riformer.py │ │ ├── seresnet.py │ │ ├── seresnext.py │ │ ├── shufflenet_v1.py │ │ ├── shufflenet_v2.py │ │ ├── sparse_convnext.py │ │ ├── sparse_resnet.py │ │ ├── swin_transformer.py │ │ ├── swin_transformer_v2.py │ │ ├── t2t_vit.py │ │ ├── timm_backbone.py │ │ ├── tinyvit.py │ │ ├── tnt.py │ │ ├── twins.py │ │ ├── van.py │ │ ├── vgg.py │ │ ├── vig.py │ │ ├── vision_transformer.py │ │ ├── vit_eva02.py │ │ ├── vit_sam.py │ │ └── xcit.py │ ├── builder.py │ ├── classifiers │ │ ├── __init__.py │ │ ├── base.py │ │ ├── hugging_face.py │ │ ├── image.py │ │ └── timm.py │ ├── heads │ │ ├── __init__.py │ │ ├── beitv1_head.py │ │ ├── beitv2_head.py │ │ ├── cae_head.py │ │ ├── cls_head.py │ │ ├── conformer_head.py │ │ ├── contrastive_head.py │ │ ├── deit_head.py │ │ ├── efficientformer_head.py │ │ ├── grounding_head.py │ │ ├── itc_head.py │ │ ├── itm_head.py │ │ ├── itpn_clip_head.py │ │ ├── latent_heads.py │ │ ├── levit_head.py │ │ ├── linear_head.py │ │ ├── mae_head.py │ │ ├── margin_head.py │ │ ├── mim_head.py │ │ ├── mixmim_head.py │ │ ├── mocov3_head.py │ │ ├── multi_label_cls_head.py │ │ ├── multi_label_csra_head.py │ │ ├── multi_label_linear_head.py │ │ ├── multi_task_head.py │ │ ├── seq_gen_head.py │ │ ├── simmim_head.py │ │ ├── spark_head.py │ │ ├── stacked_head.py │ │ ├── swav_head.py │ │ ├── vig_head.py │ │ ├── vision_transformer_head.py │ │ └── vqa_head.py │ ├── losses │ │ ├── __init__.py │ │ ├── asymmetric_loss.py │ │ ├── cae_loss.py │ │ ├── cosine_similarity_loss.py │ │ ├── cross_correlation_loss.py │ │ ├── cross_entropy_loss.py │ │ ├── focal_loss.py │ │ ├── label_smooth_loss.py │ │ ├── reconstruction_loss.py │ │ ├── seesaw_loss.py │ │ ├── swav_loss.py │ │ └── utils.py │ ├── multimodal │ │ ├── __init__.py │ │ ├── blip │ │ │ ├── __init__.py │ │ │ ├── blip_caption.py │ │ │ ├── blip_grounding.py │ │ │ ├── blip_nlvr.py │ │ │ ├── blip_retrieval.py │ │ │ ├── blip_vqa.py │ │ │ └── language_model.py │ │ ├── blip2 │ │ │ ├── Qformer.py │ │ │ ├── __init__.py │ │ │ ├── blip2_caption.py │ │ │ ├── blip2_opt_vqa.py │ │ │ ├── blip2_retriever.py │ │ │ └── modeling_opt.py │ │ ├── chinese_clip │ │ │ ├── __init__.py │ │ │ ├── bert.py │ │ │ ├── chinese_clip.py │ │ │ └── utils.py │ │ ├── clip │ │ │ ├── __init__.py │ │ │ ├── clip.py │ │ │ ├── clip_transformer.py │ │ │ └── utils.py │ │ ├── flamingo │ │ │ ├── __init__.py │ │ │ ├── adapter.py │ │ │ ├── flamingo.py │ │ │ ├── modules.py │ │ │ └── utils.py │ │ ├── llava │ │ │ ├── __init__.py │ │ │ ├── llava.py │ │ │ └── modules.py │ │ ├── minigpt4 │ │ │ ├── __init__.py │ │ │ └── minigpt4.py │ │ ├── ofa │ │ │ ├── __init__.py │ │ │ ├── ofa.py │ │ │ └── ofa_modules.py │ │ └── otter │ │ │ ├── __init__.py │ │ │ └── otter.py │ ├── necks │ │ ├── __init__.py │ │ ├── beitv2_neck.py │ │ ├── cae_neck.py │ │ ├── densecl_neck.py │ │ ├── gap.py │ │ ├── gem.py │ │ ├── hr_fuse.py │ │ ├── itpn_neck.py │ │ ├── linear_neck.py │ │ ├── mae_neck.py │ │ ├── milan_neck.py │ │ ├── mixmim_neck.py │ │ ├── mocov2_neck.py │ │ ├── nonlinear_neck.py │ │ ├── simmim_neck.py │ │ ├── spark_neck.py │ │ └── swav_neck.py │ ├── peft │ │ ├── __init__.py │ │ └── lora.py │ ├── retrievers │ │ ├── __init__.py │ │ ├── base.py │ │ └── image2image.py │ ├── selfsup │ │ ├── __init__.py │ │ ├── barlowtwins.py │ │ ├── base.py │ │ ├── beit.py │ │ ├── byol.py │ │ ├── cae.py │ │ ├── densecl.py │ │ ├── eva.py │ │ ├── itpn.py │ │ ├── mae.py │ │ ├── maskfeat.py │ │ ├── mff.py │ │ ├── milan.py │ │ ├── mixmim.py │ │ ├── moco.py │ │ ├── mocov3.py │ │ ├── simclr.py │ │ ├── simmim.py │ │ ├── simsiam.py │ │ ├── spark.py │ │ └── swav.py │ ├── tta │ │ ├── __init__.py │ │ └── score_tta.py │ └── utils │ │ ├── __init__.py │ │ ├── attention.py │ │ ├── batch_augments │ │ ├── __init__.py │ │ ├── cutmix.py │ │ ├── mixup.py │ │ ├── resizemix.py │ │ └── wrapper.py │ │ ├── batch_shuffle.py │ │ ├── box_utils.py │ │ ├── channel_shuffle.py │ │ ├── clip_generator_helper.py │ │ ├── data_preprocessor.py │ │ ├── ema.py │ │ ├── embed.py │ │ ├── helpers.py │ │ ├── huggingface.py │ │ ├── inverted_residual.py │ │ ├── layer_scale.py │ │ ├── make_divisible.py │ │ ├── norm.py │ │ ├── position_encoding.py │ │ ├── res_layer_extra_norm.py │ │ ├── se_layer.py │ │ ├── sparse_modules.py │ │ ├── swiglu_ffn.py │ │ ├── tokenizer.py │ │ └── vector_quantizer.py ├── registry.py ├── structures │ ├── __init__.py │ ├── data_sample.py │ ├── multi_task_data_sample.py │ └── utils.py ├── utils │ ├── __init__.py │ ├── analyze.py │ ├── collect_env.py │ ├── dependency.py │ ├── misc.py │ ├── progress.py │ └── setup_env.py ├── version.py └── visualization │ ├── __init__.py │ ├── utils.py │ └── visualizer.py ├── mmseg ├── __init__.py ├── apis │ ├── __init__.py │ ├── inference.py │ ├── mmseg_inferencer.py │ ├── remote_sense_inferencer.py │ └── utils.py ├── datasets │ ├── __init__.py │ ├── ade.py │ ├── basesegdataset.py │ ├── bdd100k.py │ ├── chase_db1.py │ ├── cityscapes.py │ ├── coco_stuff.py │ ├── dark_zurich.py │ ├── dataset_wrappers.py │ ├── decathlon.py │ ├── drive.py │ ├── dsdl.py │ ├── hrf.py │ ├── isaid.py │ ├── isprs.py │ ├── levir.py │ ├── lip.py │ ├── loveda.py │ ├── mapillary.py │ ├── night_driving.py │ ├── nyu.py │ ├── pascal_context.py │ ├── potsdam.py │ ├── refuge.py │ ├── stare.py │ ├── synapse.py │ ├── transforms │ │ ├── __init__.py │ │ ├── formatting.py │ │ ├── loading.py │ │ └── transforms.py │ └── voc.py ├── engine │ ├── __init__.py │ ├── hooks │ │ ├── __init__.py │ │ └── visualization_hook.py │ ├── optimizers │ │ ├── __init__.py │ │ ├── force_default_constructor.py │ │ └── layer_decay_optimizer_constructor.py │ └── schedulers │ │ ├── __init__.py │ │ └── poly_ratio_scheduler.py ├── evaluation │ ├── __init__.py │ └── metrics │ │ ├── __init__.py │ │ ├── citys_metric.py │ │ ├── depth_metric.py │ │ └── iou_metric.py ├── models │ ├── __init__.py │ ├── assigners │ │ ├── __init__.py │ │ ├── base_assigner.py │ │ ├── hungarian_assigner.py │ │ └── match_cost.py │ ├── backbones │ │ ├── __init__.py │ │ ├── beit.py │ │ ├── bisenetv1.py │ │ ├── bisenetv2.py │ │ ├── cgnet.py │ │ ├── ddrnet.py │ │ ├── erfnet.py │ │ ├── fast_scnn.py │ │ ├── hrnet.py │ │ ├── icnet.py │ │ ├── mae.py │ │ ├── mit.py │ │ ├── mobilenet_v2.py │ │ ├── mobilenet_v3.py │ │ ├── mscan.py │ │ ├── pidnet.py │ │ ├── resnest.py │ │ ├── resnet.py │ │ ├── resnext.py │ │ ├── stdc.py │ │ ├── swin.py │ │ ├── timm_backbone.py │ │ ├── twins.py │ │ ├── unet.py │ │ ├── vit.py │ │ └── vpd.py │ ├── builder.py │ ├── data_preprocessor.py │ ├── decode_heads │ │ ├── __init__.py │ │ ├── ann_head.py │ │ ├── apc_head.py │ │ ├── aspp_head.py │ │ ├── cascade_decode_head.py │ │ ├── cc_head.py │ │ ├── da_head.py │ │ ├── ddr_head.py │ │ ├── decode_head.py │ │ ├── dm_head.py │ │ ├── dnl_head.py │ │ ├── dpt_head.py │ │ ├── ema_head.py │ │ ├── enc_head.py │ │ ├── fcn_head.py │ │ ├── fpn_head.py │ │ ├── gc_head.py │ │ ├── ham_head.py │ │ ├── isa_head.py │ │ ├── knet_head.py │ │ ├── lraspp_head.py │ │ ├── mask2former_head.py │ │ ├── maskformer_head.py │ │ ├── nl_head.py │ │ ├── ocr_head.py │ │ ├── pid_head.py │ │ ├── point_head.py │ │ ├── psa_head.py │ │ ├── psp_head.py │ │ ├── san_head.py │ │ ├── segformer_head.py │ │ ├── segmenter_mask_head.py │ │ ├── sep_aspp_head.py │ │ ├── sep_fcn_head.py │ │ ├── setr_mla_head.py │ │ ├── setr_up_head.py │ │ ├── stdc_head.py │ │ ├── uper_head.py │ │ └── vpd_depth_head.py │ ├── losses │ │ ├── __init__.py │ │ ├── accuracy.py │ │ ├── boundary_loss.py │ │ ├── cross_entropy_loss.py │ │ ├── dice_loss.py │ │ ├── focal_loss.py │ │ ├── huasdorff_distance_loss.py │ │ ├── kldiv_loss.py │ │ ├── lovasz_loss.py │ │ ├── ohem_cross_entropy_loss.py │ │ ├── silog_loss.py │ │ ├── tversky_loss.py │ │ └── utils.py │ ├── necks │ │ ├── __init__.py │ │ ├── featurepyramid.py │ │ ├── fpn.py │ │ ├── ic_neck.py │ │ ├── jpu.py │ │ ├── mla_neck.py │ │ └── multilevel_neck.py │ ├── segmentors │ │ ├── __init__.py │ │ ├── base.py │ │ ├── cascade_encoder_decoder.py │ │ ├── depth_estimator.py │ │ ├── encoder_decoder.py │ │ ├── multimodal_encoder_decoder.py │ │ └── seg_tta.py │ ├── text_encoder │ │ ├── __init__.py │ │ └── clip_text_encoder.py │ └── utils │ │ ├── __init__.py │ │ ├── basic_block.py │ │ ├── embed.py │ │ ├── encoding.py │ │ ├── inverted_residual.py │ │ ├── make_divisible.py │ │ ├── point_sample.py │ │ ├── ppm.py │ │ ├── res_layer.py │ │ ├── san_layers.py │ │ ├── se_layer.py │ │ ├── self_attention_block.py │ │ ├── shape_convert.py │ │ ├── up_conv_block.py │ │ └── wrappers.py ├── registry │ ├── __init__.py │ └── registry.py ├── structures │ ├── __init__.py │ ├── sampler │ │ ├── __init__.py │ │ ├── base_pixel_sampler.py │ │ ├── builder.py │ │ └── ohem_pixel_sampler.py │ └── seg_data_sample.py ├── ttp │ ├── __init__.py │ ├── metrics.py │ └── models.py ├── utils │ ├── __init__.py │ ├── bpe_simple_vocab_16e6.txt.gz │ ├── class_names.py │ ├── collect_env.py │ ├── get_templates.py │ ├── io.py │ ├── mask_classification.py │ ├── misc.py │ ├── set_env.py │ ├── tokenizer.py │ └── typing_utils.py ├── version.py └── visualization │ ├── __init__.py │ └── local_visualizer.py ├── model-index.yml ├── opencd ├── __init__.py ├── apis │ ├── __init__.py │ └── opencd_inferencer.py ├── datasets │ ├── __init__.py │ ├── bandon.py │ ├── basecddataset.py │ ├── basescddataset.py │ ├── clcd.py │ ├── dsifn.py │ ├── landsat.py │ ├── levir_cd.py │ ├── rsipac_cd.py │ ├── s2looking.py │ ├── second.py │ ├── svcd.py │ ├── transforms │ │ ├── __init__.py │ │ ├── formatting.py │ │ ├── loading.py │ │ └── transforms.py │ └── whu_cd.py ├── engine │ ├── __init__.py │ └── hooks │ │ ├── __init__.py │ │ └── visualization_hook.py ├── evaluation │ ├── __init__.py │ └── metrics │ │ ├── __init__.py │ │ └── scd_metric.py ├── models │ ├── __init__.py │ ├── backbones │ │ ├── __init__.py │ │ ├── fcsn.py │ │ ├── hanet.py │ │ ├── ifn.py │ │ ├── interaction_mit.py │ │ ├── interaction_resnest.py │ │ ├── interaction_resnet.py │ │ ├── snunet.py │ │ ├── tinycd.py │ │ └── tinynet.py │ ├── change_detectors │ │ ├── __init__.py │ │ ├── dual_input_encoder_decoder.py │ │ ├── siamencoder_decoder.py │ │ └── siamencoder_multidecoder.py │ ├── data_preprocessor.py │ ├── decode_heads │ │ ├── __init__.py │ │ ├── bit_head.py │ │ ├── changer.py │ │ ├── general_scd_head.py │ │ ├── identity_head.py │ │ ├── multi_head.py │ │ ├── sta_head.py │ │ └── tiny_head.py │ ├── losses │ │ ├── __init__.py │ │ └── bcl_loss.py │ ├── necks │ │ ├── __init__.py │ │ ├── feature_fusion.py │ │ └── tiny_fpn.py │ └── utils │ │ ├── __init__.py │ │ ├── builder.py │ │ └── interaction_layer.py ├── registry.py ├── version.py └── visualization │ ├── __init__.py │ ├── cd_local_visualizer.py │ └── cd_vis_backend.py ├── projects ├── Adabins │ ├── README.md │ ├── backbones │ │ ├── __init__.py │ │ └── adabins_backbone.py │ ├── configs │ │ ├── _base_ │ │ │ ├── datasets │ │ │ │ └── nyu.py │ │ │ ├── default_runtime.py │ │ │ └── models │ │ │ │ └── Adabins.py │ │ └── adabins │ │ │ ├── adabins_efficient_b5_4x16_25e_NYU_416x544.py │ │ │ └── adabins_efficient_b5_4x16_25e_kitti_352x704.py │ └── decode_head │ │ ├── __init__.py │ │ └── adabins_head.py ├── CAT-Seg │ ├── README.md │ ├── cat_seg │ │ ├── __init__.py │ │ ├── models │ │ │ ├── __init__.py │ │ │ ├── cat_aggregator.py │ │ │ ├── cat_head.py │ │ │ └── clip_ovseg.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── bpe_vocab │ │ │ └── bpe_simple_vocab_16e6.txt.gz │ │ │ ├── clip_model.py │ │ │ ├── clip_templates.py │ │ │ ├── clip_wrapper.py │ │ │ ├── self_attention_block.py │ │ │ └── tokenizer.py │ ├── configs │ │ ├── _base_ │ │ │ ├── datasets │ │ │ │ ├── ade20k_384x384.py │ │ │ │ ├── coco-stuff164k_384x384.py │ │ │ │ └── pascal_context_59_384x384.py │ │ │ ├── default_runtime.py │ │ │ └── schedules │ │ │ │ └── schedule_80k.py │ │ └── cat_seg │ │ │ ├── catseg_vitb-r101_4xb1-warmcoslr2e-4-adamw-80k_ade20k-384x384.py │ │ │ ├── catseg_vitb-r101_4xb1-warmcoslr2e-4-adamw-80k_pascal-context-59-384x384.py │ │ │ ├── catseg_vitb-r101_4xb2-warmcoslr2e-4-adamw-80k_coco-stuff164k-384x384.py │ │ │ ├── catseg_vitg-swin-b_4xb1-warmcoslr2e-4_adamw-80k_coco-stuff164k_384x384.py │ │ │ ├── catseg_vith-swin-b_4xb1-warmcoslr2e-4_adamw-80k_coco-stuff164k_384x384.py │ │ │ └── catseg_vitl-swin-b_4xb1-warmcoslr2e-4_adamw-80k_coco-stuff164k_384x384.py │ └── utils │ │ └── __init__.py ├── README.md ├── XDecoder │ └── README.md ├── bdd100k_dataset │ ├── README.md │ ├── configs │ │ ├── _base_ │ │ │ └── datasets │ │ │ │ └── bdd100k.py │ │ └── pspnet_r50-d8_4xb2-80k_bdd100k-512x1024.py │ ├── docs │ │ ├── en │ │ │ └── user_guides │ │ │ │ └── 2_dataset_prepare.md │ │ └── zh_cn │ │ │ └── user_guides │ │ │ └── 2_dataset_prepare.md │ └── mmseg │ │ └── datasets │ │ └── bdd100k.py ├── example_project │ ├── README.md │ ├── configs │ │ └── fcn_dummy-r50-d8_4xb2-40k_cityscapes-512x1024.py │ └── dummy │ │ ├── __init__.py │ │ └── dummy_resnet.py ├── faq.md ├── gid_dataset │ ├── configs │ │ ├── _base_ │ │ │ └── datasets │ │ │ │ └── gid.py │ │ └── deeplabv3plus_r101-d8_4xb2-240k_gid-256x256.py │ ├── mmseg │ │ └── datasets │ │ │ └── gid.py │ ├── tools │ │ └── dataset_converters │ │ │ ├── gid.py │ │ │ └── gid_select15imgFromAll.py │ └── user_guides │ │ └── 2_dataset_prepare.md ├── hssn │ ├── README.md │ ├── configs │ │ ├── _base_ │ │ │ ├── datasets │ │ │ │ └── cityscapes.py │ │ │ ├── default_runtime.py │ │ │ ├── models │ │ │ │ └── deeplabv3plus_r50-d8_vd_contrast.py │ │ │ └── schedules │ │ │ │ └── schedule_80k.py │ │ └── hssn │ │ │ └── hieraseg_deeplabv3plus_r101-d8_4xb2-80l_cityscapes-512x1024.py │ ├── decode_head │ │ ├── __init__.py │ │ └── sep_aspp_contrast_head.py │ └── losses │ │ ├── __init__.py │ │ ├── hiera_triplet_loss_cityscape.py │ │ └── tree_triplet_loss.py ├── isnet │ ├── README.md │ ├── configs │ │ └── isnet_r50-d8_8xb2-160k_cityscapes-512x1024.py │ └── decode_heads │ │ ├── __init__.py │ │ └── isnet_head.py ├── mapillary_dataset │ ├── README.md │ ├── configs │ │ ├── _base_ │ │ │ └── datasets │ │ │ │ ├── mapillary_v1.py │ │ │ │ ├── mapillary_v1_65.py │ │ │ │ └── mapillary_v2.py │ │ ├── deeplabv3plus_r101-d8_4xb2-240k_mapillay_v1-512x1024.py │ │ ├── deeplabv3plus_r101-d8_4xb2-240k_mapillay_v2-512x1024.py │ │ ├── pspnet_r101-d8_4xb2-240k_mapillay_v1-512x1024.py │ │ └── pspnet_r101-d8_4xb2-240k_mapillay_v2-512x1024.py │ ├── docs │ │ └── en │ │ │ └── user_guides │ │ │ └── 2_dataset_prepare.md │ └── mmseg │ │ └── datasets │ │ └── mapillary.py ├── medical │ └── 2d_image │ │ ├── ct │ │ └── cranium │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── cranium_512x512.py │ │ │ ├── fcn-unet-s5-d16_unet-{use-sigmoid}_1xb16-0.01-20k_cranium-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_cranium-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_cranium-512x512.py │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_cranium-512x512.py │ │ │ ├── datasets │ │ │ └── cranium_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── dermoscopy │ │ ├── isic2016_task1 │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_isic2016-task1-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_isic2016-task1-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_isic2016-task1-512x512.py │ │ │ │ └── isic2016-task1_512x512.py │ │ │ ├── datasets │ │ │ │ └── isic2016-task1_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ └── isic2017_task1 │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_isic2017-task1-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_isic2017-task1-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_isic2017-task1-512x512.py │ │ │ └── isic2017-task1_512x512.py │ │ │ ├── datasets │ │ │ └── isic2017-task1_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── endoscopy │ │ ├── kvasir_seg │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── fcn-unet-s5-d16_unet-{use-sigmoid}_1xb16-0.01-20k_kvasir-seg-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_kvasir-seg-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_kvasir-seg-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_kvasir-seg-512x512.py │ │ │ │ └── kvasir-seg_512x512.py │ │ │ ├── datasets │ │ │ │ └── kvasir-seg_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ └── kvasir_seg_aliyun │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_kvasir-seg-aliyun-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_kvasir-seg-aliyun-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_kvasir-seg-aliyun-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01lr-sigmoid-20k_kvasir-seg-aliyun-512x512.py │ │ │ └── kvasir-seg-aliyun_512x512.py │ │ │ ├── datasets │ │ │ └── kvasir-seg-aliyun_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── fluorescein_angriogram │ │ └── vampire │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_vampire-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_vampire-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_vampire-512x512.py │ │ │ └── vampire_512x512.py │ │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ └── vampire_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── fundus_photography │ │ ├── dr_hagis │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── dr-hagis_512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_dr-hagis-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_dr-hagis-512x512.py │ │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_dr-hagis-512x512.py │ │ │ ├── datasets │ │ │ │ └── dr-hagis_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ ├── gamma3 │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_gamma3-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_gamma3-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_gamma3-512x512.py │ │ │ │ └── gamma3_512x512.py │ │ │ ├── datasets │ │ │ │ └── gamma3_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ ├── orvs │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_orvs-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_orvs-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_orvs-512x512.py │ │ │ │ └── orvs_512x512.py │ │ │ ├── datasets │ │ │ │ └── orvs_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ └── rite │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_rite-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_rite-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_rite-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01lr-sigmoid-20k_rite-512x512.py │ │ │ └── rite_512x512.py │ │ │ ├── datasets │ │ │ └── rite_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── histopathology │ │ ├── breastCancerCellSegmentation │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── breastCancerCellSegmentation_512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_breastCancerCellSegmentation-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_breastCancerCellSegmentation-512x512.py │ │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_breastCancerCellSegmentation-512x512.py │ │ │ ├── datasets │ │ │ │ └── breastCancerCellSegmentation_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ ├── breast_cancer_cell_seg │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── breast-cancer-cell-seg_512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_breast-cancer-cell-seg-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_breast-cancer-cell-seg-512x512.py │ │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_breast-cancer-cell-seg-512x512.py │ │ │ ├── datasets │ │ │ │ └── breast-cancer-cell-seg_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ ├── conic2022_seg │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── conic2022-seg_512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_conic2022-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_conic2022-512x512.py │ │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_conic2022-512x512.py │ │ │ ├── conic2022_seg_dataset.png │ │ │ ├── datasets │ │ │ │ └── conic2022-seg_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ ├── consep │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── consep_512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_consep-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_consep-512x512.py │ │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_consep-512x512.py │ │ │ ├── datasets │ │ │ │ └── consep_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ ├── fusc2021 │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_fusc2021-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_fusc2021-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_fusc2021-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01lr-sigmoid-20k_fusc2021-512x512.py │ │ │ │ └── fusc2021_512x512.py │ │ │ ├── datasets │ │ │ │ └── fusc2021_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ ├── pannuke │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── fcn-unet-s5-d16_unet-{use-sigmoid}_1xb16-0.01-20k_bactteria-detection-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_pannuke-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_pannuke-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_pannuke-512x512.py │ │ │ │ └── pannuke_512x512.py │ │ │ ├── datasets │ │ │ │ └── pannuke_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ └── pcam │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_pcam-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_pcam-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_pcam-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01lr-sigmoid-20k_pcam-512x512.py │ │ │ └── pcam_512x512.py │ │ │ ├── datasets │ │ │ └── pcam_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── infrared_reflectance_imaging │ │ └── ravir │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_ravir-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_ravir-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_ravir-512x512.py │ │ │ └── ravir_512x512.py │ │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ └── ravir_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── microscopy_images │ │ ├── 2pm_vessel │ │ │ ├── README.md │ │ │ ├── configs │ │ │ │ ├── 2pm-vessel_512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_2pm-vessel-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_2pm-vessel-512x512.py │ │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_2pm-vessel-512x512.py │ │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01lr-sigmoid-20k_bactteria-detection-512x512.py │ │ │ ├── datasets │ │ │ │ └── 2pm-vessel_dataset.py │ │ │ └── tools │ │ │ │ └── prepare_dataset.py │ │ └── bactteria_detection │ │ │ ├── README.md │ │ │ ├── configs │ │ │ ├── bactteria-detection_512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_bactteria-detection-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_bactteria-detection-512x512.py │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_bactteria-detection-512x512.py │ │ │ ├── datasets │ │ │ └── bactteria-detection_dataset.py │ │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── tools │ │ └── split_seg_dataset.py │ │ └── x_ray │ │ ├── chest_image_pneum │ │ ├── README.md │ │ ├── configs │ │ │ ├── chest-image-pneum_512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_chest-image-pneum-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_chest-image-pneum-512x512.py │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_chest-image-pneum-512x512.py │ │ ├── datasets │ │ │ └── chest-image-pneum_dataset.py │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── chest_x_ray_images_with_pneumothorax_masks │ │ ├── README.md │ │ ├── configs │ │ │ ├── chest-x-ray-images-with-pneumothorax-masks_512x512.py │ │ │ ├── fcn-unet-s5-d16_unet-{use-sigmoid}_1xb16-0.01-20k_chest-x-ray-images-with-pneumothorax-masks-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_chest-x-ray-images-with-pneumothorax-masks-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_chest-x-ray-images-with-pneumothorax-masks-512x512.py │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_chest-x-ray-images-with-pneumothorax-masks-512x512.py │ │ ├── datasets │ │ │ └── chest-x-ray-images-with-pneumothorax-masks_dataset.py │ │ └── tools │ │ │ └── prepare_dataset.py │ │ ├── covid_19_ct_cxr │ │ ├── README.md │ │ ├── configs │ │ │ ├── covid-19-ct-cxr_512x512.py │ │ │ ├── fcn-unet-s5-d16_unet-{use-sigmoid}_1xb16-0.01-20k_covid-19-ct-cxr-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_covid-19-ct-cxr-512x512.py │ │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_covid-19-ct-cxr-512x512.py │ │ │ └── fcn-unet-s5-d16_unet_1xb16-0.01-20k_covid-19-ct-cxr-512x512.py │ │ ├── datasets │ │ │ └── covid-19-ct-cxr_dataset.py │ │ └── tools │ │ │ └── prepare_dataset.py │ │ └── crass │ │ ├── README.md │ │ ├── configs │ │ ├── crass_512x512.py │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.0001-20k_crass-512x512.py │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.001-20k_crass-512x512.py │ │ ├── fcn-unet-s5-d16_unet_1xb16-0.01-20k_crass-512x512.py │ │ └── fcn-unet-s5-d16_unet_1xb16-lr0.01-sigmoid-20k_crass-512x512.py │ │ ├── datasets │ │ └── crass_dataset.py │ │ └── tools │ │ └── prepare_dataset.py ├── nvidia_jetson │ └── README.md ├── pp_mobileseg │ ├── README.md │ ├── backbones │ │ ├── __init__.py │ │ └── strideformer.py │ ├── configs │ │ ├── _base_ │ │ │ ├── datasets │ │ │ │ └── ade20k.py │ │ │ ├── default_runtime.py │ │ │ ├── models │ │ │ │ └── pp_mobile.py │ │ │ └── schedules │ │ │ │ └── schedule_80k.py │ │ └── pp_mobileseg │ │ │ ├── pp_mobileseg_mobilenetv3_2x16_80k_ade20k_512x512_base.py │ │ │ └── pp_mobileseg_mobilenetv3_2x16_80k_ade20k_512x512_tiny.py │ ├── decode_head │ │ ├── __init__.py │ │ └── pp_mobileseg_head.py │ └── inference_onnx.py ├── sam_inference_demo │ ├── README.md │ ├── sam │ │ ├── __init__.py │ │ ├── modeling │ │ │ ├── __init__.py │ │ │ ├── common.py │ │ │ ├── mask_decoder.py │ │ │ ├── prompt_encoder.py │ │ │ ├── sam.py │ │ │ └── transformer.py │ │ ├── sam_inferencer.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── amg.py │ │ │ └── transforms.py │ └── sam_image_demo.ipynb └── van │ ├── README.md │ ├── backbones │ ├── __init__.py │ └── van.py │ └── configs │ ├── _base_ │ ├── datasets │ │ └── ade20k.py │ └── models │ │ ├── van_fpn.py │ │ └── van_upernet.py │ └── van │ ├── van-b0_fpn_8xb4-40k_ade20k-512x512.py │ ├── van-b1_fpn_8xb4-40k_ade20k-512x512.py │ ├── van-b2_fpn_8xb4-40k_ade20k-512x512.py │ ├── van-b2_upernet_4xb2-160k_ade20k-512x512.py │ ├── van-b3_fpn_8xb4-40k_ade20k-512x512.py │ ├── van-b3_upernet_4xb2-160k_ade20k-512x512.py │ ├── van-b4-in22kpre_upernet_4xb4-160k_ade20k-512x512.py │ ├── van-b4_upernet_4xb4-160k_ade20k-512x512.py │ ├── van-b5-in22kpre_upernet_4xb2-160k_ade20k-512x512.py │ └── van-b6-in22kpre_upernet_4xb2-160k_ade20k-512x512.py ├── requirements.txt ├── requirements ├── albu.txt ├── docs.txt ├── mminstall.txt ├── multimodal.txt ├── optional.txt ├── readthedocs.txt ├── runtime.txt └── tests.txt ├── resources ├── 3dogs.jpg ├── 3dogs_mask.png ├── cascade_encoder_decoder_dataflow.png ├── encoder_decoder_dataflow.png ├── miaomiao_qrcode.jpg ├── mmseg-logo.png ├── seg_demo.gif ├── test_step.png ├── train_step.png └── ttp.pdf ├── setup.cfg ├── setup.py ├── tests ├── __init__.py ├── test_apis │ ├── test_inferencer.py │ ├── test_rs_inferencer.py │ └── utils.py ├── test_config.py ├── test_datasets │ ├── test_dataset.py │ ├── test_dataset_builder.py │ ├── test_formatting.py │ ├── test_loading.py │ ├── test_transform.py │ └── test_tta.py ├── test_digit_version.py ├── test_engine │ ├── test_layer_decay_optimizer_constructor.py │ ├── test_optimizer.py │ └── test_visualization_hook.py ├── test_evaluation │ └── test_metrics │ │ ├── test_citys_metric.py │ │ ├── test_depth_metric.py │ │ └── test_iou_metric.py ├── test_models │ ├── __init__.py │ ├── test_assigners │ │ └── test_hungarian_assigner.py │ ├── test_backbones │ │ ├── __init__.py │ │ ├── test_beit.py │ │ ├── test_bisenetv1.py │ │ ├── test_bisenetv2.py │ │ ├── test_blocks.py │ │ ├── test_cgnet.py │ │ ├── test_clip_text_encoder.py │ │ ├── test_erfnet.py │ │ ├── test_fast_scnn.py │ │ ├── test_hrnet.py │ │ ├── test_icnet.py │ │ ├── test_mae.py │ │ ├── test_mit.py │ │ ├── test_mobilenet_v3.py │ │ ├── test_mscan.py │ │ ├── test_pidnet.py │ │ ├── test_resnest.py │ │ ├── test_resnet.py │ │ ├── test_resnext.py │ │ ├── test_stdc.py │ │ ├── test_swin.py │ │ ├── test_timm_backbone.py │ │ ├── test_twins.py │ │ ├── test_unet.py │ │ ├── test_vit.py │ │ ├── test_vpd.py │ │ └── utils.py │ ├── test_data_preprocessor.py │ ├── test_forward.py │ ├── test_heads │ │ ├── __init__.py │ │ ├── test_ann_head.py │ │ ├── test_apc_head.py │ │ ├── test_aspp_head.py │ │ ├── test_cc_head.py │ │ ├── test_decode_head.py │ │ ├── test_dm_head.py │ │ ├── test_dnl_head.py │ │ ├── test_dpt_head.py │ │ ├── test_ema_head.py │ │ ├── test_fcn_head.py │ │ ├── test_gc_head.py │ │ ├── test_ham_head.py │ │ ├── test_isa_head.py │ │ ├── test_lraspp_head.py │ │ ├── test_mask2former_head.py │ │ ├── test_maskformer_head.py │ │ ├── test_nl_head.py │ │ ├── test_ocr_head.py │ │ ├── test_pidnet_head.py │ │ ├── test_psa_head.py │ │ ├── test_psp_head.py │ │ ├── test_san_head.py │ │ ├── test_segformer_head.py │ │ ├── test_segmenter_mask_head.py │ │ ├── test_setr_mla_head.py │ │ ├── test_setr_up_head.py │ │ ├── test_uper_head.py │ │ ├── test_vpd_depth_head.py │ │ └── utils.py │ ├── test_losses │ │ ├── test_cross_entropy_loss.py │ │ ├── test_dice_loss.py │ │ ├── test_huasdorff_distance_loss.py │ │ ├── test_kldiv_loss.py │ │ ├── test_silog_loss.py │ │ └── test_tversky_loss.py │ ├── test_necks │ │ ├── __init__.py │ │ ├── test_feature2pyramid.py │ │ ├── test_fpn.py │ │ ├── test_ic_neck.py │ │ ├── test_jpu.py │ │ ├── test_mla_neck.py │ │ └── test_multilevel_neck.py │ ├── test_segmentors │ │ ├── __init__.py │ │ ├── test_cascade_encoder_decoder.py │ │ ├── test_depth_estimator.py │ │ ├── test_encoder_decoder.py │ │ ├── test_multimodal_encoder_decoder.py │ │ ├── test_seg_tta_model.py │ │ └── utils.py │ └── test_utils │ │ ├── __init__.py │ │ ├── test_embed.py │ │ └── test_shape_convert.py ├── test_sampler.py ├── test_structures │ └── test_seg_data_sample.py ├── test_utils │ ├── test_io.py │ └── test_set_env.py └── test_visualization │ └── test_local_visualizer.py └── tools ├── analysis_tools ├── analyze_logs.py ├── benchmark.py ├── browse_dataset.py ├── confusion_matrix.py ├── get_flops.py └── visualization_cam.py ├── dataset_converters ├── chase_db1.py ├── cityscapes.py ├── coco_stuff10k.py ├── coco_stuff164k.py ├── drive.py ├── hrf.py ├── isaid.py ├── levircd.py ├── loveda.py ├── nyu.py ├── pascal_context.py ├── potsdam.py ├── refuge.py ├── stare.py ├── synapse.py ├── vaihingen.py └── voc_aug.py ├── deployment └── pytorch2torchscript.py ├── dist_test.sh ├── dist_train.sh ├── misc ├── browse_dataset.py ├── print_config.py └── publish_model.py ├── model_converters ├── beit2mmseg.py ├── clip2mmseg.py ├── mit2mmseg.py ├── san2mmseg.py ├── stdc2mmseg.py ├── swin2mmseg.py ├── twins2mmseg.py ├── vit2mmseg.py └── vitjax2mmseg.py ├── slurm_test.sh ├── slurm_train.sh ├── test.py ├── torchserve ├── mmseg2torchserve.py ├── mmseg_handler.py └── test_torchserve.py └── train.py /.circleci/config.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/KyanChen/TTP/HEAD/.circleci/config.yml -------------------------------------------------------------------------------- /.circleci/docker/Dockerfile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/KyanChen/TTP/HEAD/.circleci/docker/Dockerfile 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