├── .github └── ISSUE_TEMPLATE │ ├── error-report.md │ ├── feature_request.md │ └── general_questions.md ├── .gitignore ├── .style.yapf ├── .travis.yml ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── GETTING_STARTED.md ├── INSTALL.md ├── LICENSE ├── MODEL_ZOO.md ├── README.md ├── TECHNICAL_DETAILS.md ├── a.txt ├── configs ├── cascade_mask_rcnn_r101_fpn_1x.py ├── cascade_mask_rcnn_r50_caffe_c4_1x.py ├── cascade_mask_rcnn_r50_fpn_1x.py ├── cascade_mask_rcnn_x101_32x4d_fpn_1x.py ├── cascade_mask_rcnn_x101_64x4d_fpn_1x.py ├── cascade_rcnn_r101_fpn_1x.py ├── cascade_rcnn_r50_caffe_c4_1x.py ├── cascade_rcnn_r50_fpn_1x.py ├── cascade_rcnn_x101_32x4d_fpn_1x.py ├── cascade_rcnn_x101_64x4d_fpn_1x.py ├── centernet_coco │ ├── centernet_dla.py │ ├── centernet_dla_fpn.py │ ├── centernet_fpn_coco.py │ ├── centernet_hourglass.py │ ├── centernet_hrnet2.py │ ├── centernet_hrnet32_renchefei.py │ ├── dla_concat_fpn.py │ ├── dla_fpn_plus.py │ ├── dla_fpn_plus_dgnet.py │ ├── hgfpn.py │ ├── hrnet32_fpn_renche.py │ ├── one_stage_resnet_dcn.py │ ├── one_stage_resnet_dcn2.py │ ├── resnet101.py │ ├── resnet101_fpn.py │ └── two_stage_resnet_dcn2.py ├── centernet_fpn_voc_dl733.py ├── centernet_voc │ ├── 3_level_dla_fpn.py │ ├── centernet_fpn_voc.py │ ├── centernet_hgfpn_voc.py │ ├── centernet_hrfpn_voc.py │ ├── dla_512.py │ ├── dla_srfpn_area.py │ ├── dla_srfpn_area_64.py │ ├── dla_srfpn_distance.py │ ├── dla_weight_center_head.py │ ├── matrixnet.py │ ├── resnet101.py │ ├── voc_centernet_dla.py │ ├── voc_centernet_hourglass.py │ ├── voc_centernet_hrnet3.py │ └── voc_centernet_hrnet3_32.py ├── dcn │ ├── README.md │ ├── cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py │ ├── cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py │ ├── faster_rcnn_dconv_c3-c5_r50_fpn_1x.py │ ├── faster_rcnn_dconv_c3-c5_x101_32x4d_fpn_1x.py │ ├── faster_rcnn_dpool_r50_fpn_1x.py │ ├── faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py │ ├── faster_rcnn_mdpool_r50_fpn_1x.py │ └── mask_rcnn_dconv_c3-c5_r50_fpn_1x.py ├── empirical_attention │ ├── README.md │ ├── faster_rcnn_r50_fpn_attention_0010_1x.py │ ├── faster_rcnn_r50_fpn_attention_0010_dcn_1x.py │ ├── faster_rcnn_r50_fpn_attention_1111_1x.py │ └── faster_rcnn_r50_fpn_attention_1111_dcn_1x.py ├── fast_mask_rcnn_r101_fpn_1x.py ├── fast_mask_rcnn_r50_caffe_c4_1x.py ├── fast_mask_rcnn_r50_fpn_1x.py ├── fast_rcnn_r101_fpn_1x.py ├── fast_rcnn_r50_caffe_c4_1x.py ├── fast_rcnn_r50_fpn_1x.py ├── faster_rcnn_ohem_r50_fpn_1x.py ├── faster_rcnn_r101_fpn_1x.py ├── faster_rcnn_r50_caffe_c4_1x.py ├── faster_rcnn_r50_fpn_1x.py ├── faster_rcnn_x101_32x4d_fpn_1x.py ├── faster_rcnn_x101_64x4d_fpn_1x.py ├── fcos │ ├── README.md │ ├── fcos_mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu.py │ ├── fcos_mstrain_640_800_x101_64x4d_fpn_gn_2x.py │ └── fcos_r50_caffe_fpn_gn_1x_4gpu.py ├── fcos_coco.py ├── fcos_plus_coco.py ├── fcos_plus_dgnet.py ├── fp16 │ ├── faster_rcnn_r50_fpn_fp16_1x.py │ ├── mask_rcnn_r50_fpn_fp16_1x.py │ └── retinanet_r50_fpn_fp16_1x.py ├── gcnet │ ├── README.md │ ├── mask_rcnn_r16_gcb_c3-c5_r50_fpn_1x.py │ ├── mask_rcnn_r16_gcb_c3-c5_r50_fpn_syncbn_1x.py │ ├── mask_rcnn_r4_gcb_c3-c5_r50_fpn_1x.py │ ├── mask_rcnn_r4_gcb_c3-c5_r50_fpn_syncbn_1x.py │ └── mask_rcnn_r50_fpn_sbn_1x.py ├── ghm │ ├── README.md │ └── retinanet_ghm_r50_fpn_1x.py ├── gn+ws │ ├── README.md │ ├── faster_rcnn_r50_fpn_gn_ws_1x.py │ ├── mask_rcnn_r50_fpn_gn_ws_20_23_24e.py │ ├── mask_rcnn_r50_fpn_gn_ws_2x.py │ └── mask_rcnn_x101_32x4d_fpn_gn_ws_2x.py ├── gn │ ├── README.md │ ├── mask_rcnn_r101_fpn_gn_2x.py │ ├── mask_rcnn_r50_fpn_gn_2x.py │ └── mask_rcnn_r50_fpn_gn_contrib_2x.py ├── grid_rcnn │ ├── README.md │ ├── grid_rcnn_gn_head_r50_fpn_2x.py │ └── grid_rcnn_gn_head_x101_32x4d_fpn_2x.py ├── guided_anchoring │ ├── README.md │ ├── ga_fast_r50_caffe_fpn_1x.py │ ├── ga_faster_r50_caffe_fpn_1x.py │ ├── ga_faster_x101_32x4d_fpn_1x.py │ ├── ga_retinanet_r50_caffe_fpn_1x.py │ ├── ga_retinanet_x101_32x4d_fpn_1x.py │ ├── ga_rpn_r101_caffe_rpn_1x.py │ ├── ga_rpn_r50_caffe_fpn_1x.py │ └── ga_rpn_x101_32x4d_fpn_1x.py ├── hrnet │ ├── README.md │ ├── cascade_rcnn_hrnetv2p_w32_20e.py │ ├── faster_rcnn_hrnetv2p_w18_1x.py │ ├── faster_rcnn_hrnetv2p_w32_1x.py │ ├── faster_rcnn_hrnetv2p_w40_1x.py │ ├── mask_rcnn_hrnetv2p_w18_1x.py │ └── mask_rcnn_hrnetv2p_w32_1x.py ├── htc │ ├── README.md │ ├── htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e.py │ ├── htc_r101_fpn_20e.py │ ├── htc_r50_fpn_1x.py │ ├── htc_r50_fpn_20e.py │ ├── htc_without_semantic_r50_fpn_1x.py │ ├── htc_x101_32x4d_fpn_20e_16gpu.py │ └── htc_x101_64x4d_fpn_20e_16gpu.py ├── libra_rcnn │ ├── README.md │ ├── libra_fast_rcnn_r50_fpn_1x.py │ ├── libra_faster_rcnn_r101_fpn_1x.py │ ├── libra_faster_rcnn_r50_fpn_1x.py │ ├── libra_faster_rcnn_x101_64x4d_fpn_1x.py │ └── libra_retinanet_r50_fpn_1x.py ├── mask_rcnn_r101_fpn_1x.py ├── mask_rcnn_r50_caffe_c4_1x.py ├── mask_rcnn_r50_fpn_1x.py ├── mask_rcnn_x101_32x4d_fpn_1x.py ├── mask_rcnn_x101_64x4d_fpn_1x.py ├── matrixnet_dl733.py ├── ms_rcnn │ ├── README.md │ ├── ms_rcnn_r101_caffe_fpn_1x.py │ ├── ms_rcnn_r50_caffe_fpn_1x.py │ └── ms_rcnn_x101_64x4d_fpn_1x.py ├── pascal_voc │ ├── faster_rcnn_r50_fpn_1x_voc0712.py │ ├── ssd300_voc.py │ └── ssd512_voc.py ├── retinanet_r101_fpn_1x.py ├── retinanet_r50_fpn_1x.py ├── retinanet_x101_32x4d_fpn_1x.py ├── retinanet_x101_64x4d_fpn_1x.py ├── rpn_r101_fpn_1x.py ├── rpn_r50_caffe_c4_1x.py ├── rpn_r50_fpn_1x.py ├── rpn_x101_32x4d_fpn_1x.py ├── rpn_x101_64x4d_fpn_1x.py ├── scratch │ ├── README.md │ ├── scratch_faster_rcnn_r50_fpn_gn_6x.py │ └── scratch_mask_rcnn_r50_fpn_gn_6x.py ├── ssd300_coco.py ├── ssd512_coco.py ├── test_faster_rcnn_r50_fpn_1x.py ├── visdrone_centernet_hrnet.py ├── visdrone_faster_rcnn_r50_fpn_1x.py └── wider_face │ ├── README.md │ └── ssd300_wider_face.py ├── demo └── coco_test_12510.jpg ├── down.sh ├── eval_renche.sh ├── experiments ├── coco │ ├── test_center_dla.sh │ ├── test_center_dla_fpn.sh │ ├── test_center_fpn.sh │ ├── test_dlafpn_plus.sh │ ├── test_faster_rcnn.sh │ ├── test_fcos_plus_2.sh │ ├── test_fcos_plus_2x.sh │ ├── test_fcos_plus_coco.sh │ ├── test_one_stage_resnet_dcn.sh │ ├── test_one_stage_resnet_dcn2.sh │ ├── test_resnet101.sh │ ├── test_resnet101_fpn.sh │ ├── test_two_stage_resnet_dcn2.sh │ ├── train_center_dla_fpn.sh │ ├── train_center_fpn.sh │ ├── train_dla_concat_fpn.sh │ ├── train_dlafpn_plus.sh │ ├── train_dlafpn_plus_dgnet.sh │ ├── train_fcos.sh │ ├── train_fcos_plus.sh │ ├── train_fcos_plus_2x.sh │ ├── train_fcos_plus_dgnet.sh │ ├── train_hg_fpn.sh │ ├── train_one_stage_resnet_dcn.sh │ ├── train_one_stage_resnet_dcn2.sh │ ├── train_resnet101_fpn.sh │ └── train_two_stage_resnet_dcn2.sh ├── renche │ ├── test_renchifei.sh │ ├── train_hrnet32_fpn_renche.sh │ └── train_renche_hrnet32.sh ├── visdrone │ ├── test_dla.sh │ ├── test_dla_modify_lr.sh │ ├── test_dla_modify_wh.sh │ ├── test_dla_small_gaussion.sh │ ├── test_hourglass.sh │ ├── test_hr.sh │ ├── test_hrnet3.sh │ ├── test_hrnet32.sh │ ├── test_hrnet3_wo_c.sh │ ├── train_dla_modfiy_wh.sh │ ├── train_dla_modify_lr.sh │ ├── train_dla_small_gaussion.sh │ ├── train_hourglass.sh │ ├── train_hrnet32.sh │ ├── train_hrnet3_18.sh │ ├── train_hrnet3_wo_c.sh │ ├── visdrone_test.sh │ └── visdrone_train.sh └── voc │ ├── srfpn │ ├── test_dla_srfpn_area.sh │ ├── test_dla_srfpn_area_64.sh │ ├── test_dla_srfpn_distance.sh │ ├── train_dla_srfpn_area.sh │ ├── train_dla_srfpn_area_64.sh │ └── train_dla_srfpn_distance.sh │ ├── test_3_level_dla_fpn.sh │ ├── test_center_dla_voc_512.sh │ ├── test_center_hg_fpn.sh │ ├── test_dla_fpn_voc.sh │ ├── test_fpn_dl733.sh │ ├── test_matrixnet.sh │ ├── test_voc_center_dl733.sh │ ├── test_voc_fpn.sh │ ├── test_weight_dla.sh │ ├── train_3_level_dla_fpn.sh │ ├── train_center_fpn.sh │ ├── train_centernet_hgfpn.sh │ ├── train_centernet_hrfpn.sh │ ├── train_dla.sh │ ├── train_dla_fpn_voc.sh │ ├── train_fpn_dl733.sh │ ├── train_matrixnet_dl733.sh │ ├── train_matrixnet_voc.sh │ ├── train_voc_center_fpn.sh │ └── train_wight_dla.sh ├── look_faster_rcnn.sh ├── mmdet ├── __init__.py ├── apis │ ├── __init__.py │ ├── env.py │ ├── inference.py │ └── train.py ├── core │ ├── __init__.py │ ├── anchor │ │ ├── __init__.py │ │ ├── anchor_generator.py │ │ ├── anchor_target.py │ │ └── guided_anchor_target.py │ ├── bbox │ │ ├── __init__.py │ │ ├── assign_sampling.py │ │ ├── assigners │ │ │ ├── __init__.py │ │ │ ├── approx_max_iou_assigner.py │ │ │ ├── assign_result.py │ │ │ ├── base_assigner.py │ │ │ └── max_iou_assigner.py │ │ ├── bbox_target.py │ │ ├── geometry.py │ │ ├── samplers │ │ │ ├── __init__.py │ │ │ ├── base_sampler.py │ │ │ ├── combined_sampler.py │ │ │ ├── instance_balanced_pos_sampler.py │ │ │ ├── iou_balanced_neg_sampler.py │ │ │ ├── ohem_sampler.py │ │ │ ├── pseudo_sampler.py │ │ │ ├── random_sampler.py │ │ │ └── sampling_result.py │ │ └── transforms.py │ ├── evaluation │ │ ├── __init__.py │ │ ├── bbox_overlaps.py │ │ ├── class_names.py │ │ ├── coco_utils.py │ │ ├── eval_hooks.py │ │ ├── mean_ap.py │ │ └── recall.py │ ├── fp16 │ │ ├── __init__.py │ │ ├── decorators.py │ │ ├── hooks.py │ │ └── utils.py │ ├── mask │ │ ├── __init__.py │ │ ├── mask_target.py │ │ └── utils.py │ ├── post_processing │ │ ├── __init__.py │ │ ├── bbox_nms.py │ │ └── merge_augs.py │ └── utils │ │ ├── __init__.py │ │ ├── dist_utils.py │ │ └── misc.py ├── datasets │ ├── __init__.py │ ├── builder.py │ ├── center_fpn.py │ ├── coco.py │ ├── ctdet.py │ ├── ctdet_txt.py │ ├── custom.py │ ├── dataset_wrappers.py │ ├── extra_aug.py │ ├── loader │ │ ├── __init__.py │ │ ├── build_loader.py │ │ └── sampler.py │ ├── registry.py │ ├── renche.py │ ├── renche_fpn.py │ ├── transforms.py │ ├── txt_style.py │ ├── utils.py │ ├── voc.py │ ├── wider_face.py │ └── xml_style.py ├── models │ ├── __init__.py │ ├── anchor_heads │ │ ├── __init__.py │ │ ├── anchor_head.py │ │ ├── center_head.py │ │ ├── fcos_head.py │ │ ├── fcos_plus_head.py │ │ ├── ga_retina_head.py │ │ ├── ga_rpn_head.py │ │ ├── guided_anchor_head.py │ │ ├── matrix_center_head.py │ │ ├── retina_head.py │ │ ├── rpn_head.py │ │ ├── sr_center_head.py │ │ ├── ssd_head.py │ │ └── weight_center_head.py │ ├── backbones │ │ ├── __init__.py │ │ ├── dla.py │ │ ├── dla2.py │ │ ├── hourglass.py │ │ ├── hourglass2.py │ │ ├── hrnet.py │ │ ├── hrnet2.py │ │ ├── hrnet3.py │ │ ├── hrnet4.py │ │ ├── hrnet5.py │ │ ├── one_stage_resnet_dcn.py │ │ ├── one_stage_resnet_dcn2.py │ │ ├── resnet.py │ │ ├── resnet101.py │ │ ├── resnet_dcn.py │ │ ├── resnext.py │ │ ├── ssd_vgg.py │ │ ├── two_stage_resnet_dcn.py │ │ └── two_stage_resnet_dcn2.py │ ├── bbox_heads │ │ ├── __init__.py │ │ ├── bbox_head.py │ │ └── convfc_bbox_head.py │ ├── builder.py │ ├── detectors │ │ ├── __init__.py │ │ ├── base.py │ │ ├── cascade_rcnn.py │ │ ├── centernet.py │ │ ├── centernet_fpn.py │ │ ├── ctdet_decetor.py │ │ ├── fast_rcnn.py │ │ ├── faster_rcnn.py │ │ ├── fcos.py │ │ ├── grid_rcnn.py │ │ ├── htc.py │ │ ├── mask_rcnn.py │ │ ├── mask_scoring_rcnn.py │ │ ├── retinanet.py │ │ ├── rpn.py │ │ ├── single_stage.py │ │ ├── test_mixins.py │ │ ├── two_stage.py │ │ └── two_stage_centernet.py │ ├── losses │ │ ├── __init__.py │ │ ├── accuracy.py │ │ ├── balanced_l1_loss.py │ │ ├── center_focal_loss.py │ │ ├── cross_entropy_loss.py │ │ ├── ctdet_loss.py │ │ ├── focal_loss.py │ │ ├── ghm_loss.py │ │ ├── iou_loss.py │ │ ├── l1_loss.py │ │ ├── linear_iou_loss.py │ │ ├── mse_loss.py │ │ ├── smooth_l1_loss.py │ │ ├── two_stage_ctdet_loss.py │ │ └── utils.py │ ├── mask_heads │ │ ├── __init__.py │ │ ├── fcn_mask_head.py │ │ ├── fused_semantic_head.py │ │ ├── grid_head.py │ │ ├── htc_mask_head.py │ │ └── maskiou_head.py │ ├── necks │ │ ├── __init__.py │ │ ├── bfp.py │ │ ├── dlafpn.py │ │ ├── fpn.py │ │ ├── hrfpn.py │ │ ├── matrixfpn.py │ │ ├── resnetfpn.py │ │ └── srfpn.py │ ├── plugins │ │ ├── __init__.py │ │ ├── generalized_attention.py │ │ └── non_local.py │ ├── registry.py │ ├── roi_extractors │ │ ├── __init__.py │ │ └── single_level.py │ ├── shared_heads │ │ ├── __init__.py │ │ └── res_layer.py │ └── utils │ │ ├── __init__.py │ │ ├── conv_module.py │ │ ├── conv_ws.py │ │ ├── norm.py │ │ ├── scale.py │ │ └── weight_init.py ├── ops │ ├── __init__.py │ ├── dcn │ │ ├── __init__.py │ │ ├── functions │ │ │ ├── __init__.py │ │ │ ├── deform_conv.py │ │ │ └── deform_pool.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── deform_conv.py │ │ │ └── deform_pool.py │ │ └── src │ │ │ ├── deform_conv_cuda.cpp │ │ │ ├── deform_conv_cuda_kernel.cu │ │ │ ├── deform_pool_cuda.cpp │ │ │ └── deform_pool_cuda_kernel.cu │ ├── gcb │ │ ├── __init__.py │ │ └── context_block.py │ ├── masked_conv │ │ ├── __init__.py │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── masked_conv.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── masked_conv.py │ │ └── src │ │ │ ├── masked_conv2d_cuda.cpp │ │ │ └── masked_conv2d_kernel.cu │ ├── nms │ │ ├── __init__.py │ │ ├── nms_wrapper.py │ │ └── src │ │ │ ├── nms_cpu.cpp │ │ │ ├── nms_cuda.cpp │ │ │ ├── nms_kernel.cu │ │ │ └── soft_nms_cpu.pyx │ ├── roi_align │ │ ├── __init__.py │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── roi_align.py │ │ ├── gradcheck.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── roi_align.py │ │ └── src │ │ │ ├── roi_align_cuda.cpp │ │ │ └── roi_align_kernel.cu │ ├── roi_pool │ │ ├── __init__.py │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── roi_pool.py │ │ ├── gradcheck.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── roi_pool.py │ │ └── src │ │ │ ├── roi_pool_cuda.cpp │ │ │ └── roi_pool_kernel.cu │ └── sigmoid_focal_loss │ │ ├── __init__.py │ │ ├── functions │ │ ├── __init__.py │ │ └── sigmoid_focal_loss.py │ │ ├── modules │ │ ├── __init__.py │ │ └── sigmoid_focal_loss.py │ │ └── src │ │ ├── sigmoid_focal_loss.cpp │ │ └── sigmoid_focal_loss_cuda.cu └── utils │ ├── __init__.py │ ├── flops_counter.py │ └── registry.py ├── modify_model.py ├── setup.py └── tools ├── analyze_logs.py ├── coco_eval.py ├── convert_datasets └── pascal_voc.py ├── count_ap.py ├── detectron2pytorch.py ├── dist_test.sh ├── 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