├── CITATION.cff ├── LICENSE ├── MANIFEST.in ├── README.md ├── README_zh-CN.md ├── configs ├── _base_ │ ├── datasets │ │ ├── cityscapes_detection.py │ │ ├── cityscapes_instance.py │ │ ├── coco_detection.py │ │ ├── coco_instance.py │ │ ├── coco_instance_semantic.py │ │ ├── coco_panoptic.py │ │ ├── deepfashion.py │ │ ├── lvis_v0.5_instance.py │ │ ├── lvis_v1_instance.py │ │ ├── refercoco_detection.py │ │ ├── voc0712.py │ │ └── wider_face.py │ ├── default_runtime.py │ ├── models │ │ ├── cascade_mask_rcnn_r50_fpn.py │ │ ├── cascade_rcnn_r50_fpn.py │ │ ├── fast_rcnn_r50_fpn.py │ │ ├── faster_rcnn_r50_caffe_c4.py │ │ ├── faster_rcnn_r50_caffe_dc5.py │ │ ├── faster_rcnn_r50_fpn.py │ │ ├── mask_rcnn_r50_caffe_c4.py │ │ ├── mask_rcnn_r50_fpn.py │ │ ├── retinanet_r50_fpn.py │ │ ├── rpn_r50_caffe_c4.py │ │ ├── rpn_r50_fpn.py │ │ └── ssd300.py │ └── schedules │ │ ├── schedule_1x.py │ │ ├── schedule_20e.py │ │ └── schedule_2x.py ├── albu_example │ ├── README.md │ └── mask_rcnn_r50_fpn_albu_1x_coco.py ├── atss │ ├── README.md │ ├── atss_r101_fpn_1x_coco.py │ ├── atss_r50_fpn_1x_coco.py │ └── metafile.yml ├── autoassign │ ├── README.md │ ├── autoassign_r50_fpn_8x2_1x_coco.py │ └── metafile.yml ├── carafe │ ├── README.md │ ├── faster_rcnn_r50_fpn_carafe_1x_coco.py │ └── mask_rcnn_r50_fpn_carafe_1x_coco.py ├── cascade_rcnn │ ├── README.md │ ├── cascade_mask_rcnn_r101_caffe_fpn_1x_coco.py │ ├── cascade_mask_rcnn_r101_caffe_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_r101_fpn_1x_coco.py │ ├── cascade_mask_rcnn_r101_fpn_20e_coco.py │ ├── cascade_mask_rcnn_r101_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_r50_caffe_fpn_1x_coco.py │ ├── cascade_mask_rcnn_r50_caffe_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_r50_fpn_1x_coco.py │ ├── cascade_mask_rcnn_r50_fpn_20e_coco.py │ ├── cascade_mask_rcnn_r50_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_1x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_20e_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_x101_32x8d_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_x101_64x4d_fpn_1x_coco.py │ ├── cascade_mask_rcnn_x101_64x4d_fpn_20e_coco.py │ ├── cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco.py │ ├── cascade_rcnn_r101_caffe_fpn_1x_coco.py │ ├── cascade_rcnn_r101_fpn_1x_coco.py │ ├── cascade_rcnn_r101_fpn_20e_coco.py │ ├── cascade_rcnn_r50_caffe_fpn_1x_coco.py │ ├── cascade_rcnn_r50_fpn_1x_coco.py │ ├── cascade_rcnn_r50_fpn_20e_coco.py │ ├── cascade_rcnn_x101_32x4d_fpn_1x_coco.py │ ├── cascade_rcnn_x101_32x4d_fpn_20e_coco.py │ ├── cascade_rcnn_x101_64x4d_fpn_1x_coco.py │ ├── cascade_rcnn_x101_64x4d_fpn_20e_coco.py │ └── metafile.yml ├── cascade_rpn │ ├── README.md │ ├── crpn_fast_rcnn_r50_caffe_fpn_1x_coco.py │ ├── crpn_faster_rcnn_r50_caffe_fpn_1x_coco.py │ └── crpn_r50_caffe_fpn_1x_coco.py ├── centernet │ ├── README.md │ ├── centernet_resnet18_140e_coco.py │ ├── centernet_resnet18_dcnv2_140e_coco.py │ └── metafile.yml ├── centripetalnet │ ├── README.md │ ├── centripetalnet_hourglass104_mstest_16x6_210e_coco.py │ └── metafile.yml ├── cityscapes │ ├── README.md │ ├── faster_rcnn_r50_fpn_1x_cityscapes.py │ └── mask_rcnn_r50_fpn_1x_cityscapes.py ├── common │ ├── lsj_100e_coco_instance.py │ ├── mstrain-poly_3x_coco_instance.py │ ├── mstrain_3x_coco.py │ └── mstrain_3x_coco_instance.py ├── cornernet │ ├── README.md │ ├── cornernet_hourglass104_mstest_10x5_210e_coco.py │ ├── cornernet_hourglass104_mstest_32x3_210e_coco.py │ ├── cornernet_hourglass104_mstest_8x6_210e_coco.py │ └── metafile.yml ├── dcn │ ├── README.md │ ├── cascade_mask_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ ├── cascade_mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco.py │ ├── cascade_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ ├── cascade_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ ├── faster_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ ├── faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ ├── faster_rcnn_r50_fpn_dpool_1x_coco.py │ ├── faster_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py │ ├── faster_rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco.py │ ├── faster_rcnn_r50_fpn_mdpool_1x_coco.py │ ├── faster_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco.py │ ├── mask_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ ├── mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ ├── mask_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py │ └── metafile.yml ├── deepfashion │ ├── README.md │ └── mask_rcnn_r50_fpn_15e_deepfashion.py ├── deformable_detr │ ├── README.md │ ├── deformable_detr_r50_16x2_50e_coco.py │ ├── deformable_detr_refine_r50_16x2_50e_coco.py │ ├── deformable_detr_twostage_refine_r50_16x2_50e_coco.py │ └── metafile.yml ├── detectors │ ├── README.md │ ├── cascade_rcnn_r50_rfp_1x_coco.py │ ├── cascade_rcnn_r50_sac_1x_coco.py │ ├── detectors_cascade_rcnn_r50_1x_coco.py │ ├── detectors_htc_r101_20e_coco.py │ ├── detectors_htc_r50_1x_coco.py │ ├── htc_r50_rfp_1x_coco.py │ ├── htc_r50_sac_1x_coco.py │ └── metafile.yml ├── detr │ ├── README.md │ ├── detr_r50_8x2_150e_coco.py │ └── metafile.yml ├── double_heads │ ├── README.md │ ├── dh_faster_rcnn_r50_fpn_1x_coco.py │ └── metafile.yml ├── dynamic_rcnn │ ├── README.md │ ├── dynamic_rcnn_r50_fpn_1x_coco.py │ └── metafile.yml ├── empirical_attention │ ├── README.md │ ├── faster_rcnn_r50_fpn_attention_0010_1x_coco.py │ ├── faster_rcnn_r50_fpn_attention_0010_dcn_1x_coco.py │ ├── faster_rcnn_r50_fpn_attention_1111_1x_coco.py │ ├── faster_rcnn_r50_fpn_attention_1111_dcn_1x_coco.py │ └── metafile.yml ├── fast_rcnn │ ├── README.md │ ├── fast_rcnn_r101_caffe_fpn_1x_coco.py │ ├── fast_rcnn_r101_fpn_1x_coco.py │ ├── fast_rcnn_r101_fpn_2x_coco.py │ ├── fast_rcnn_r50_caffe_fpn_1x_coco.py │ ├── fast_rcnn_r50_fpn_1x_coco.py │ └── fast_rcnn_r50_fpn_2x_coco.py ├── faster_rcnn │ ├── README.md │ ├── faster_rcnn_r101_caffe_fpn_1x_coco.py │ ├── faster_rcnn_r101_caffe_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_r101_fpn_1x_coco.py │ ├── faster_rcnn_r101_fpn_2x_coco.py │ ├── faster_rcnn_r101_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_r50_caffe_c4_1x_coco.py │ ├── faster_rcnn_r50_caffe_dc5_1x_coco.py │ ├── faster_rcnn_r50_caffe_dc5_mstrain_1x_coco.py │ ├── faster_rcnn_r50_caffe_dc5_mstrain_3x_coco.py │ ├── faster_rcnn_r50_caffe_fpn_1x_coco.py │ ├── faster_rcnn_r50_caffe_fpn_mstrain_1x_coco-person-bicycle-car.py │ ├── faster_rcnn_r50_caffe_fpn_mstrain_1x_coco-person.py │ ├── faster_rcnn_r50_caffe_fpn_mstrain_1x_coco.py │ ├── faster_rcnn_r50_caffe_fpn_mstrain_2x_coco.py │ ├── faster_rcnn_r50_caffe_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_r50_caffe_fpn_mstrain_90k_coco.py │ ├── faster_rcnn_r50_fpn_1x_coco.py │ ├── faster_rcnn_r50_fpn_2x_coco.py │ ├── faster_rcnn_r50_fpn_bounded_iou_1x_coco.py │ ├── faster_rcnn_r50_fpn_ciou_1x_coco.py │ ├── faster_rcnn_r50_fpn_giou_1x_coco.py │ ├── faster_rcnn_r50_fpn_iou_1x_coco.py │ ├── faster_rcnn_r50_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_r50_fpn_ohem_1x_coco.py │ ├── faster_rcnn_r50_fpn_soft_nms_1x_coco.py │ ├── faster_rcnn_x101_32x4d_fpn_1x_coco.py │ ├── faster_rcnn_x101_32x4d_fpn_2x_coco.py │ ├── faster_rcnn_x101_32x4d_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_x101_32x8d_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_x101_64x4d_fpn_1x_coco.py │ ├── faster_rcnn_x101_64x4d_fpn_2x_coco.py │ ├── faster_rcnn_x101_64x4d_fpn_mstrain_3x_coco.py │ └── metafile.yml ├── fcos │ ├── README.md │ ├── fcos_center-normbbox-centeronreg-giou_r101_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py │ ├── fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco.py │ ├── fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_dcn_1x_coco.py │ ├── fcos_center_r50_caffe_fpn_gn-head_1x_coco.py │ ├── fcos_r101_caffe_fpn_gn-head_1x_coco.py │ ├── fcos_r101_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py │ ├── fcos_r50_caffe_fpn_gn-head_1x_coco.py │ ├── fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py │ ├── fcos_r50_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py │ ├── fcos_x101_64x4d_fpn_gn-head_mstrain_640-800_2x_coco.py │ └── metafile.yml ├── foveabox │ ├── README.md │ ├── fovea_align_r101_fpn_gn-head_4x4_2x_coco.py │ ├── fovea_align_r101_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py │ ├── fovea_align_r50_fpn_gn-head_4x4_2x_coco.py │ ├── fovea_align_r50_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py │ ├── fovea_r101_fpn_4x4_1x_coco.py │ ├── fovea_r101_fpn_4x4_2x_coco.py │ ├── fovea_r50_fpn_4x4_1x_coco.py │ ├── fovea_r50_fpn_4x4_2x_coco.py │ └── metafile.yml ├── fp16 │ ├── README.md │ ├── faster_rcnn_r50_fpn_fp16_1x_coco.py │ ├── mask_rcnn_r50_fpn_fp16_1x_coco.py │ ├── mask_rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco.py │ ├── mask_rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco.py │ ├── metafile.yml │ └── retinanet_r50_fpn_fp16_1x_coco.py ├── fpg │ ├── README.md │ ├── faster_rcnn_r50_fpg-chn128_crop640_50e_coco.py │ ├── faster_rcnn_r50_fpg_crop640_50e_coco.py │ ├── faster_rcnn_r50_fpn_crop640_50e_coco.py │ ├── mask_rcnn_r50_fpg-chn128_crop640_50e_coco.py │ ├── mask_rcnn_r50_fpg_crop640_50e_coco.py │ ├── mask_rcnn_r50_fpn_crop640_50e_coco.py │ ├── metafile.yml │ ├── retinanet_r50_fpg-chn128_crop640_50e_coco.py │ └── retinanet_r50_fpg_crop640_50e_coco.py ├── free_anchor │ ├── README.md │ ├── metafile.yml │ ├── retinanet_free_anchor_r101_fpn_1x_coco.py │ ├── retinanet_free_anchor_r50_fpn_1x_coco.py │ └── retinanet_free_anchor_x101_32x4d_fpn_1x_coco.py ├── fsaf │ ├── README.md │ ├── fsaf_r101_fpn_1x_coco.py │ ├── fsaf_r50_fpn_1x_coco.py │ ├── fsaf_x101_64x4d_fpn_1x_coco.py │ └── metafile.yml ├── gcnet │ ├── README.md │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_1x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_r16_gcb_c3-c5_1x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_r4_gcb_c3-c5_1x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r101_fpn_r16_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r101_fpn_r4_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r101_fpn_syncbn-backbone_1x_coco.py │ ├── mask_rcnn_r101_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r101_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r50_fpn_syncbn-backbone_1x_coco.py │ ├── mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py │ ├── mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ ├── mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ └── metafile.yml ├── gfl │ ├── README.md │ ├── gfl_r101_fpn_dconv_c3-c5_mstrain_2x_coco.py │ ├── gfl_r101_fpn_mstrain_2x_coco.py │ ├── gfl_r50_fpn_1x_coco.py │ ├── gfl_r50_fpn_mstrain_2x_coco.py │ ├── gfl_x101_32x4d_fpn_dconv_c4-c5_mstrain_2x_coco.py │ ├── gfl_x101_32x4d_fpn_mstrain_2x_coco.py │ └── metafile.yml ├── ghm │ ├── README.md │ ├── metafile.yml │ ├── retinanet_ghm_r101_fpn_1x_coco.py │ ├── retinanet_ghm_r50_fpn_1x_coco.py │ ├── retinanet_ghm_x101_32x4d_fpn_1x_coco.py │ └── retinanet_ghm_x101_64x4d_fpn_1x_coco.py ├── gn+ws │ ├── README.md │ ├── faster_rcnn_r101_fpn_gn_ws-all_1x_coco.py │ ├── faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py │ ├── faster_rcnn_x101_32x4d_fpn_gn_ws-all_1x_coco.py │ ├── faster_rcnn_x50_32x4d_fpn_gn_ws-all_1x_coco.py │ ├── mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco.py │ ├── mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py │ ├── mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco.py │ ├── mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py │ ├── mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco.py │ ├── mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco.py │ ├── mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco.py │ ├── mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py │ └── metafile.yml ├── gn │ ├── README.md │ ├── mask_rcnn_r101_fpn_gn-all_2x_coco.py │ ├── mask_rcnn_r101_fpn_gn-all_3x_coco.py │ ├── mask_rcnn_r50_fpn_gn-all_2x_coco.py │ ├── mask_rcnn_r50_fpn_gn-all_3x_coco.py │ ├── mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py │ ├── mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py │ └── metafile.yml ├── grid_rcnn │ ├── README.md │ ├── grid_rcnn_r101_fpn_gn-head_2x_coco.py │ ├── grid_rcnn_r50_fpn_gn-head_1x_coco.py │ ├── grid_rcnn_r50_fpn_gn-head_2x_coco.py │ ├── grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco.py │ ├── grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco.py │ └── metafile.yml ├── groie │ ├── README.md │ ├── faster_rcnn_r50_fpn_groie_1x_coco.py │ ├── grid_rcnn_r50_fpn_gn-head_groie_1x_coco.py │ ├── mask_rcnn_r101_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco.py │ ├── mask_rcnn_r50_fpn_groie_1x_coco.py │ ├── mask_rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco.py │ └── metafile.yml ├── guided_anchoring │ ├── README.md │ ├── ga_fast_r50_caffe_fpn_1x_coco.py │ ├── ga_faster_r101_caffe_fpn_1x_coco.py │ ├── ga_faster_r50_caffe_fpn_1x_coco.py │ ├── ga_faster_r50_fpn_1x_coco.py │ ├── ga_faster_x101_32x4d_fpn_1x_coco.py │ ├── ga_faster_x101_64x4d_fpn_1x_coco.py │ ├── ga_retinanet_r101_caffe_fpn_1x_coco.py │ ├── ga_retinanet_r101_caffe_fpn_mstrain_2x.py │ ├── ga_retinanet_r50_caffe_fpn_1x_coco.py │ ├── ga_retinanet_r50_fpn_1x_coco.py │ ├── ga_retinanet_x101_32x4d_fpn_1x_coco.py │ ├── ga_retinanet_x101_64x4d_fpn_1x_coco.py │ ├── ga_rpn_r101_caffe_fpn_1x_coco.py │ ├── ga_rpn_r50_caffe_fpn_1x_coco.py │ ├── ga_rpn_r50_fpn_1x_coco.py │ ├── ga_rpn_x101_32x4d_fpn_1x_coco.py │ ├── ga_rpn_x101_64x4d_fpn_1x_coco.py │ └── metafile.yml ├── hrnet │ ├── README.md │ ├── cascade_mask_rcnn_hrnetv2p_w18_20e_coco.py │ ├── cascade_mask_rcnn_hrnetv2p_w32_20e_coco.py │ ├── cascade_mask_rcnn_hrnetv2p_w40_20e_coco.py │ ├── cascade_rcnn_hrnetv2p_w18_20e_coco.py │ ├── cascade_rcnn_hrnetv2p_w32_20e_coco.py │ ├── cascade_rcnn_hrnetv2p_w40_20e_coco.py │ ├── faster_rcnn_hrnetv2p_w18_1x_coco.py │ ├── faster_rcnn_hrnetv2p_w18_2x_coco.py │ ├── faster_rcnn_hrnetv2p_w32_1x_coco.py │ ├── faster_rcnn_hrnetv2p_w32_2x_coco.py │ ├── faster_rcnn_hrnetv2p_w40_1x_coco.py │ ├── faster_rcnn_hrnetv2p_w40_2x_coco.py │ ├── fcos_hrnetv2p_w18_gn-head_4x4_1x_coco.py │ ├── fcos_hrnetv2p_w18_gn-head_4x4_2x_coco.py │ ├── fcos_hrnetv2p_w18_gn-head_mstrain_640-800_4x4_2x_coco.py │ ├── fcos_hrnetv2p_w32_gn-head_4x4_1x_coco.py │ ├── fcos_hrnetv2p_w32_gn-head_4x4_2x_coco.py │ ├── fcos_hrnetv2p_w32_gn-head_mstrain_640-800_4x4_2x_coco.py │ ├── fcos_hrnetv2p_w40_gn-head_mstrain_640-800_4x4_2x_coco.py │ ├── htc_hrnetv2p_w18_20e_coco.py │ ├── htc_hrnetv2p_w32_20e_coco.py │ ├── htc_hrnetv2p_w40_20e_coco.py │ ├── htc_hrnetv2p_w40_28e_coco.py │ ├── htc_x101_64x4d_fpn_16x1_28e_coco.py │ ├── mask_rcnn_hrnetv2p_w18_1x_coco.py │ ├── mask_rcnn_hrnetv2p_w18_2x_coco.py │ ├── mask_rcnn_hrnetv2p_w32_1x_coco.py │ ├── mask_rcnn_hrnetv2p_w32_2x_coco.py │ ├── mask_rcnn_hrnetv2p_w40_1x_coco.py │ ├── mask_rcnn_hrnetv2p_w40_2x_coco.py │ └── metafile.yml ├── htc │ ├── README.md │ ├── htc_r101_fpn_20e_coco.py │ ├── htc_r50_fpn_1x_coco.py │ ├── htc_r50_fpn_20e_coco.py │ ├── htc_without_semantic_r50_fpn_1x_coco.py │ ├── htc_x101_32x4d_fpn_16x1_20e_coco.py │ ├── htc_x101_64x4d_fpn_16x1_20e_coco.py │ ├── htc_x101_64x4d_fpn_dconv_c3-c5_mstrain_400_1400_16x1_20e_coco.py │ └── metafile.yml ├── instaboost │ ├── README.md │ ├── cascade_mask_rcnn_r101_fpn_instaboost_4x_coco.py │ ├── cascade_mask_rcnn_r50_fpn_instaboost_4x_coco.py │ ├── cascade_mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco.py │ ├── mask_rcnn_r101_fpn_instaboost_4x_coco.py │ ├── mask_rcnn_r50_fpn_instaboost_4x_coco.py │ ├── mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco.py │ └── metafile.yml ├── ld │ ├── README.md │ ├── ld_r101_gflv1_r101dcn_fpn_coco_2x.py │ ├── ld_r18_gflv1_r101_fpn_coco_1x.py │ ├── ld_r34_gflv1_r101_fpn_coco_1x.py │ ├── ld_r50_gflv1_r101_fpn_coco_1x.py │ └── metafile.yml ├── legacy_1.x │ ├── README.md │ ├── cascade_mask_rcnn_r50_fpn_1x_coco_v1.py │ ├── faster_rcnn_r50_fpn_1x_coco_v1.py │ ├── mask_rcnn_r50_fpn_1x_coco_v1.py │ ├── retinanet_r50_caffe_fpn_1x_coco_v1.py │ ├── retinanet_r50_fpn_1x_coco_v1.py │ └── ssd300_coco_v1.py ├── libra_rcnn │ ├── README.md │ ├── libra_fast_rcnn_r50_fpn_1x_coco.py │ ├── libra_faster_rcnn_r101_fpn_1x_coco.py │ ├── libra_faster_rcnn_r50_fpn_1x_coco.py │ ├── libra_faster_rcnn_x101_64x4d_fpn_1x_coco.py │ ├── libra_retinanet_r50_fpn_1x_coco.py │ └── metafile.yml ├── lvis │ ├── README.md │ ├── mask_rcnn_r101_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ ├── mask_rcnn_r101_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py │ ├── mask_rcnn_r50_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ ├── mask_rcnn_r50_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py │ ├── mask_rcnn_x101_32x4d_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ ├── mask_rcnn_x101_32x4d_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py │ ├── mask_rcnn_x101_64x4d_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ └── mask_rcnn_x101_64x4d_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py ├── mask_rcnn │ ├── README.md │ ├── mask_rcnn_r101_caffe_fpn_1x_coco.py │ ├── mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_r101_fpn_1x_coco.py │ ├── mask_rcnn_r101_fpn_2x_coco.py │ ├── mask_rcnn_r101_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_r50_caffe_c4_1x_coco.py │ ├── mask_rcnn_r50_caffe_fpn_1x_coco.py │ ├── mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py │ ├── mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py │ ├── mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_r50_caffe_fpn_mstrain_1x_coco.py │ ├── mask_rcnn_r50_caffe_fpn_poly_1x_coco_v1.py │ ├── mask_rcnn_r50_fpn_1x_coco.py │ ├── mask_rcnn_r50_fpn_2x_coco.py │ ├── mask_rcnn_r50_fpn_mstrain-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_mstrain-poly_3x_coco.py │ ├── mask_rcnn_x101_32x8d_fpn_1x_coco.py │ ├── mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco.py │ ├── mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_x101_64x4d_fpn_1x_coco.py │ ├── mask_rcnn_x101_64x4d_fpn_2x_coco.py │ ├── mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco.py │ └── metafile.yml ├── ms_rcnn │ ├── README.md │ ├── metafile.yml │ ├── ms_rcnn_r101_caffe_fpn_1x_coco.py │ ├── ms_rcnn_r101_caffe_fpn_2x_coco.py │ ├── ms_rcnn_r50_caffe_fpn_1x_coco.py │ ├── ms_rcnn_r50_caffe_fpn_2x_coco.py │ ├── ms_rcnn_r50_fpn_1x_coco.py │ ├── ms_rcnn_x101_32x4d_fpn_1x_coco.py │ ├── ms_rcnn_x101_64x4d_fpn_1x_coco.py │ └── ms_rcnn_x101_64x4d_fpn_2x_coco.py ├── nas_fcos │ ├── README.md │ ├── metafile.yml │ ├── nas_fcos_fcoshead_r50_caffe_fpn_gn-head_4x4_1x_coco.py │ └── nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco.py ├── nas_fpn │ ├── README.md │ ├── metafile.yml │ ├── retinanet_r50_fpn_crop640_50e_coco.py │ └── retinanet_r50_nasfpn_crop640_50e_coco.py ├── paa │ ├── README.md │ ├── metafile.yml │ ├── paa_r101_fpn_1x_coco.py │ ├── paa_r101_fpn_2x_coco.py │ ├── paa_r101_fpn_mstrain_3x_coco.py │ ├── paa_r50_fpn_1.5x_coco.py │ ├── paa_r50_fpn_1x_coco.py │ ├── paa_r50_fpn_2x_coco.py │ └── paa_r50_fpn_mstrain_3x_coco.py ├── pafpn │ ├── README.md │ ├── faster_rcnn_r50_pafpn_1x_coco.py │ └── metafile.yml ├── panoptic_fpn │ ├── README.md │ ├── metafile.yml │ ├── panoptic_fpn_r101_fpn_1x_coco.py │ ├── panoptic_fpn_r101_fpn_mstrain_3x_coco.py │ ├── panoptic_fpn_r50_fpn_1x_coco.py │ └── panoptic_fpn_r50_fpn_mstrain_3x_coco.py ├── pascal_voc │ ├── README.md │ ├── faster_rcnn_r50_fpn_1x_voc0712.py │ ├── faster_rcnn_r50_fpn_1x_voc0712_cocofmt.py │ ├── retinanet_r50_fpn_1x_voc0712.py │ ├── ssd300_voc0712.py │ └── ssd512_voc0712.py ├── pisa │ ├── README.md │ ├── metafile.yml │ ├── pisa_faster_rcnn_r50_fpn_1x_coco.py │ ├── pisa_faster_rcnn_x101_32x4d_fpn_1x_coco.py │ ├── pisa_mask_rcnn_r50_fpn_1x_coco.py │ ├── pisa_mask_rcnn_x101_32x4d_fpn_1x_coco.py │ ├── pisa_retinanet_r50_fpn_1x_coco.py │ ├── pisa_retinanet_x101_32x4d_fpn_1x_coco.py │ ├── pisa_ssd300_coco.py │ └── pisa_ssd512_coco.py ├── point_rend │ ├── README.md │ ├── metafile.yml │ ├── point_rend_r50_caffe_fpn_mstrain_1x_coco.py │ └── point_rend_r50_caffe_fpn_mstrain_3x_coco.py ├── pvt │ ├── README.md │ ├── metafile.yml │ ├── retinanet_pvt-l_fpn_1x_coco.py │ ├── retinanet_pvt-m_fpn_1x_coco.py │ ├── retinanet_pvt-s_fpn_1x_coco.py │ ├── retinanet_pvt-t_fpn_1x_coco.py │ ├── retinanet_pvtv2-b0_fpn_1x_coco.py │ ├── retinanet_pvtv2-b1_fpn_1x_coco.py │ ├── retinanet_pvtv2-b2_fpn_1x_coco.py │ ├── retinanet_pvtv2-b3_fpn_1x_coco.py │ ├── retinanet_pvtv2-b4_fpn_1x_coco.py │ └── retinanet_pvtv2-b5_fpn_1x_coco.py ├── referring_grounding │ ├── refcoco+ │ │ ├── fcos_r101_concat_refcoco+.py │ │ ├── fcos_r101_dynamic_refcoco+.py │ │ ├── reppoints_r101_concat_refcoco+.py │ │ ├── reppoints_r101_dynamic_refcoco+.py │ │ ├── retinanet_r101_concat_refcoco+.py │ │ └── retinanet_r101_dynamic_refcoco+.py │ ├── refcoco │ │ ├── fcos_r101_concat_refcoco.py │ │ ├── fcos_r101_dynamic_refcoco.py │ │ ├── reppoints_r101_concat_refcoco.py │ │ ├── reppoints_r101_dynamic_refcoco.py │ │ ├── retinanet_r101_concat_refcoco.py │ │ └── retinanet_r101_dynamic_refcoco.py │ ├── refcocog │ │ ├── fcos_r101_concat_refcocog.py │ │ ├── fcos_r101_dynamic_refcocog.py │ │ ├── reppoints_r101_concat_refcocog.py │ │ ├── reppoints_r101_dynamic_refcocog.py │ │ ├── retinanet_r101_concat_refcocog.py │ │ └── retinanet_r101_dynamic_refcocog.py │ └── refcrowd │ │ ├── fcos_r101_concat_refcrowd.py │ │ ├── fcos_r101_dynamic_refcrowd.py │ │ ├── reppoints_r101_concat_refcrowd.py │ │ ├── reppoints_r101_dynamic_refcrowd.py │ │ ├── retinanet_r101_concat_refcrowd.py │ │ └── retinanet_r101_dynamic_refcrowd.py ├── regnet │ ├── README.md │ ├── cascade_mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py │ ├── cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_regnetx-3.2GF_fpn_1x_coco.py │ ├── faster_rcnn_regnetx-3.2GF_fpn_2x_coco.py │ ├── faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py │ ├── faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco.py │ ├── mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_regnetx-12GF_fpn_1x_coco.py │ ├── mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py │ ├── mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco.py │ ├── mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py │ ├── mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_regnetx-4GF_fpn_1x_coco.py │ ├── mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_regnetx-6.4GF_fpn_1x_coco.py │ ├── mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco.py │ ├── mask_rcnn_regnetx-8GF_fpn_1x_coco.py │ ├── metafile.yml │ ├── retinanet_regnetx-1.6GF_fpn_1x_coco.py │ ├── retinanet_regnetx-3.2GF_fpn_1x_coco.py │ └── retinanet_regnetx-800MF_fpn_1x_coco.py ├── reppoints │ ├── README.md │ ├── bbox_r50_grid_center_fpn_gn-neck+head_1x_coco.py │ ├── bbox_r50_grid_fpn_gn-neck+head_1x_coco.py │ ├── metafile.yml │ ├── reppoints.png │ ├── reppoints_minmax_r50_fpn_gn-neck+head_1x_coco.py │ ├── reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py │ ├── reppoints_moment_r101_fpn_gn-neck+head_2x_coco.py │ ├── reppoints_moment_r50_fpn_1x_coco.py │ ├── reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py │ ├── reppoints_moment_r50_fpn_gn-neck+head_2x_coco.py │ ├── reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py │ └── reppoints_partial_minmax_r50_fpn_gn-neck+head_1x_coco.py ├── res2net │ ├── README.md │ ├── cascade_mask_rcnn_r2_101_fpn_20e_coco.py │ ├── cascade_rcnn_r2_101_fpn_20e_coco.py │ ├── faster_rcnn_r2_101_fpn_2x_coco.py │ ├── htc_r2_101_fpn_20e_coco.py │ ├── mask_rcnn_r2_101_fpn_2x_coco.py │ └── metafile.yml ├── resnest │ ├── README.md │ ├── cascade_mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ ├── cascade_mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ ├── cascade_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ ├── cascade_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ ├── faster_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ ├── faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ ├── mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ ├── mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ └── metafile.yml ├── retinanet │ ├── README.md │ ├── metafile.yml │ ├── retinanet_r101_caffe_fpn_1x_coco.py │ ├── retinanet_r101_caffe_fpn_mstrain_3x_coco.py │ ├── retinanet_r101_fpn_1x_coco.py │ ├── retinanet_r101_fpn_2x_coco.py │ ├── retinanet_r101_fpn_mstrain_640-800_3x_coco.py │ ├── retinanet_r50_caffe_fpn_1x_coco.py │ ├── retinanet_r50_caffe_fpn_mstrain_1x_coco.py │ ├── retinanet_r50_caffe_fpn_mstrain_2x_coco.py │ ├── retinanet_r50_caffe_fpn_mstrain_3x_coco.py │ ├── retinanet_r50_fpn_1x_coco.py │ ├── retinanet_r50_fpn_2x_coco.py │ ├── retinanet_r50_fpn_mstrain_640-800_3x_coco.py │ ├── retinanet_x101_32x4d_fpn_1x_coco.py │ ├── retinanet_x101_32x4d_fpn_2x_coco.py │ ├── retinanet_x101_64x4d_fpn_1x_coco.py │ ├── retinanet_x101_64x4d_fpn_2x_coco.py │ └── retinanet_x101_64x4d_fpn_mstrain_640-800_3x_coco.py ├── rpn │ ├── README.md │ ├── rpn_r101_caffe_fpn_1x_coco.py │ ├── rpn_r101_fpn_1x_coco.py │ ├── rpn_r101_fpn_2x_coco.py │ ├── rpn_r50_caffe_c4_1x_coco.py │ ├── rpn_r50_caffe_fpn_1x_coco.py │ ├── rpn_r50_fpn_1x_coco.py │ ├── rpn_r50_fpn_2x_coco.py │ ├── rpn_x101_32x4d_fpn_1x_coco.py │ ├── rpn_x101_32x4d_fpn_2x_coco.py │ ├── rpn_x101_64x4d_fpn_1x_coco.py │ └── rpn_x101_64x4d_fpn_2x_coco.py ├── sabl │ ├── README.md │ ├── metafile.yml │ ├── sabl_cascade_rcnn_r101_fpn_1x_coco.py │ ├── sabl_cascade_rcnn_r50_fpn_1x_coco.py │ ├── sabl_faster_rcnn_r101_fpn_1x_coco.py │ ├── sabl_faster_rcnn_r50_fpn_1x_coco.py │ ├── sabl_retinanet_r101_fpn_1x_coco.py │ ├── sabl_retinanet_r101_fpn_gn_1x_coco.py │ ├── sabl_retinanet_r101_fpn_gn_2x_ms_480_960_coco.py │ ├── sabl_retinanet_r101_fpn_gn_2x_ms_640_800_coco.py │ ├── sabl_retinanet_r50_fpn_1x_coco.py │ └── sabl_retinanet_r50_fpn_gn_1x_coco.py ├── scnet │ ├── README.md │ ├── metafile.yml │ ├── scnet_r101_fpn_20e_coco.py │ ├── scnet_r50_fpn_1x_coco.py │ ├── scnet_r50_fpn_20e_coco.py │ ├── scnet_x101_64x4d_fpn_20e_coco.py │ └── scnet_x101_64x4d_fpn_8x1_20e_coco.py ├── scratch │ ├── README.md │ ├── faster_rcnn_r50_fpn_gn-all_scratch_6x_coco.py │ ├── mask_rcnn_r50_fpn_gn-all_scratch_6x_coco.py │ └── metafile.yml ├── seesaw_loss │ ├── README.md │ ├── cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py │ ├── cascade_mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ ├── cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py │ ├── cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ ├── mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py │ ├── mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ ├── mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py │ ├── mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ ├── mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py │ ├── mask_rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ ├── mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py │ └── mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py ├── selfsup_pretrain │ ├── README.md │ ├── mask_rcnn_r50_fpn_mocov2-pretrain_1x_coco.py │ ├── mask_rcnn_r50_fpn_mocov2-pretrain_ms-2x_coco.py │ ├── mask_rcnn_r50_fpn_swav-pretrain_1x_coco.py │ └── mask_rcnn_r50_fpn_swav-pretrain_ms-2x_coco.py ├── solo │ ├── README.md │ ├── decoupled_solo_light_r50_fpn_3x_coco.py │ ├── decoupled_solo_r50_fpn_1x_coco.py │ ├── decoupled_solo_r50_fpn_3x_coco.py │ ├── metafile.yml │ ├── solo_r50_fpn_1x_coco.py │ └── solo_r50_fpn_3x_coco.py ├── sparse_rcnn │ ├── README.md │ ├── metafile.yml │ ├── sparse_rcnn_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py │ ├── sparse_rcnn_r101_fpn_mstrain_480-800_3x_coco.py │ ├── sparse_rcnn_r50_fpn_1x_coco.py │ ├── sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py │ └── sparse_rcnn_r50_fpn_mstrain_480-800_3x_coco.py ├── ssd │ ├── README.md │ ├── metafile.yml │ ├── ssd300_coco.py │ ├── ssd512_coco.py │ └── ssdlite_mobilenetv2_scratch_600e_coco.py ├── strong_baselines │ ├── README.md │ ├── mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py │ ├── mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py │ ├── mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_400e_coco.py │ ├── mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py │ ├── mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py │ └── mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_50e_coco.py ├── swin │ ├── README.md │ ├── mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco.py │ ├── mask_rcnn_swin-t-p4-w7_fpn_1x_coco.py │ ├── mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco.py │ ├── mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco.py │ └── metafile.yml ├── tridentnet │ ├── README.md │ ├── metafile.yml │ ├── tridentnet_r50_caffe_1x_coco.py │ ├── tridentnet_r50_caffe_mstrain_1x_coco.py │ └── tridentnet_r50_caffe_mstrain_3x_coco.py ├── vfnet │ ├── README.md │ ├── metafile.yml │ ├── vfnet_r101_fpn_1x_coco.py │ ├── vfnet_r101_fpn_2x_coco.py │ ├── vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ ├── vfnet_r101_fpn_mstrain_2x_coco.py │ ├── vfnet_r2_101_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ ├── vfnet_r2_101_fpn_mstrain_2x_coco.py │ ├── vfnet_r50_fpn_1x_coco.py │ ├── vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ ├── vfnet_r50_fpn_mstrain_2x_coco.py │ ├── vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ ├── vfnet_x101_32x4d_fpn_mstrain_2x_coco.py │ ├── vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ └── vfnet_x101_64x4d_fpn_mstrain_2x_coco.py ├── wider_face │ ├── README.md │ └── ssd300_wider_face.py ├── yolact │ ├── README.md │ ├── metafile.yml │ ├── yolact_r101_1x8_coco.py │ ├── yolact_r50_1x8_coco.py │ └── yolact_r50_8x8_coco.py ├── yolo │ ├── README.md │ ├── metafile.yml │ ├── yolov3_d53_320_273e_coco.py │ ├── yolov3_d53_fp16_mstrain-608_273e_coco.py │ ├── yolov3_d53_mstrain-416_273e_coco.py │ ├── yolov3_d53_mstrain-608_273e_coco.py │ ├── yolov3_mobilenetv2_320_300e_coco.py │ └── yolov3_mobilenetv2_mstrain-416_300e_coco.py ├── yolof │ ├── README.md │ ├── metafile.yml │ ├── yolof_r50_c5_8x8_1x_coco.py │ └── yolof_r50_c5_8x8_iter-1x_coco.py └── yolox │ ├── README.md │ ├── metafile.yml │ ├── yolox_l_8x8_300e_coco.py │ ├── yolox_m_8x8_300e_coco.py │ ├── yolox_nano_8x8_300e_coco.py │ ├── yolox_s_8x8_300e_coco.py │ ├── yolox_tiny_8x8_300e_coco.py │ └── yolox_x_8x8_300e_coco.py ├── demo ├── MMDet_Tutorial.ipynb ├── create_result_gif.py ├── demo.jpg ├── demo.mp4 ├── image_demo.py ├── inference_demo.ipynb ├── video_demo.py └── webcam_demo.py ├── docker ├── Dockerfile └── serve │ ├── Dockerfile │ ├── config.properties │ └── entrypoint.sh ├── docs ├── 1_exist_data_model.md ├── 2_new_data_model.md ├── 3_exist_data_new_model.md ├── Makefile ├── _static │ ├── css │ │ └── readthedocs.css │ └── image │ │ └── mmdet-logo.png ├── api.rst ├── changelog.md ├── compatibility.md ├── conf.py ├── conventions.md ├── faq.md ├── get_started.md ├── index.rst ├── make.bat ├── model_zoo.md ├── projects.md ├── robustness_benchmarking.md ├── stat.py ├── switch_language.md ├── tutorials │ ├── config.md │ ├── customize_dataset.md │ ├── customize_losses.md │ ├── customize_models.md │ ├── customize_runtime.md │ ├── data_pipeline.md │ ├── finetune.md │ ├── index.rst │ ├── init_cfg.md │ ├── onnx2tensorrt.md │ └── pytorch2onnx.md └── useful_tools.md ├── docs_zh-CN ├── 1_exist_data_model.md ├── 2_new_data_model.md ├── 3_exist_data_new_model.md ├── Makefile ├── _static │ ├── css │ │ └── readthedocs.css │ └── image │ │ └── mmdet-logo.png ├── api.rst ├── compatibility.md ├── conf.py ├── conventions.md ├── faq.md ├── get_started.md ├── index.rst ├── make.bat ├── model_zoo.md ├── projects.md ├── robustness_benchmarking.md ├── stat.py ├── switch_language.md ├── tutorials │ ├── config.md │ ├── customize_dataset.md │ ├── customize_losses.md │ ├── customize_models.md │ ├── customize_runtime.md │ ├── data_pipeline.md │ ├── finetune.md │ ├── index.rst │ ├── onnx2tensorrt.md │ └── pytorch2onnx.md └── useful_tools.md ├── mmdet ├── .mim │ ├── configs │ │ ├── _base_ │ │ │ ├── datasets │ │ │ │ ├── cityscapes_detection.py │ │ │ │ ├── cityscapes_instance.py │ │ │ │ ├── coco_detection.py │ │ │ │ ├── coco_instance.py │ │ │ │ ├── coco_instance_semantic.py │ │ │ │ ├── coco_panoptic.py │ │ │ │ ├── deepfashion.py │ │ │ │ ├── lvis_v0.5_instance.py │ │ │ │ ├── lvis_v1_instance.py │ │ │ │ ├── refercoco_detection.py │ │ │ │ ├── voc0712.py │ │ │ │ └── wider_face.py │ │ │ ├── default_runtime.py │ │ │ ├── models │ │ │ │ ├── cascade_mask_rcnn_r50_fpn.py │ │ │ │ ├── cascade_rcnn_r50_fpn.py │ │ │ │ ├── fast_rcnn_r50_fpn.py │ │ │ │ ├── faster_rcnn_r50_caffe_c4.py │ │ │ │ ├── faster_rcnn_r50_caffe_dc5.py │ │ │ │ ├── faster_rcnn_r50_fpn.py │ │ │ │ ├── mask_rcnn_r50_caffe_c4.py │ │ │ │ ├── mask_rcnn_r50_fpn.py │ │ │ │ ├── retinanet_r50_fpn.py │ │ │ │ ├── rpn_r50_caffe_c4.py │ │ │ │ ├── rpn_r50_fpn.py │ │ │ │ └── ssd300.py │ │ │ └── schedules │ │ │ │ ├── schedule_1x.py │ │ │ │ ├── schedule_20e.py │ │ │ │ └── schedule_2x.py │ │ ├── albu_example │ │ │ ├── README.md │ │ │ └── mask_rcnn_r50_fpn_albu_1x_coco.py │ │ ├── atss │ │ │ ├── README.md │ │ │ ├── atss_r101_fpn_1x_coco.py │ │ │ ├── atss_r50_fpn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── autoassign │ │ │ ├── README.md │ │ │ ├── autoassign_r50_fpn_8x2_1x_coco.py │ │ │ └── metafile.yml │ │ ├── carafe │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpn_carafe_1x_coco.py │ │ │ └── mask_rcnn_r50_fpn_carafe_1x_coco.py │ │ ├── cascade_rcnn │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_r101_caffe_fpn_1x_coco.py │ │ │ ├── cascade_mask_rcnn_r101_caffe_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_r101_fpn_1x_coco.py │ │ │ ├── cascade_mask_rcnn_r101_fpn_20e_coco.py │ │ │ ├── cascade_mask_rcnn_r101_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ ├── cascade_mask_rcnn_r50_caffe_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_r50_fpn_1x_coco.py │ │ │ ├── cascade_mask_rcnn_r50_fpn_20e_coco.py │ │ │ ├── cascade_mask_rcnn_r50_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_20e_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x8d_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_64x4d_fpn_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_64x4d_fpn_20e_coco.py │ │ │ ├── cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_rcnn_r101_caffe_fpn_1x_coco.py │ │ │ ├── cascade_rcnn_r101_fpn_1x_coco.py │ │ │ ├── cascade_rcnn_r101_fpn_20e_coco.py │ │ │ ├── cascade_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ ├── cascade_rcnn_r50_fpn_1x_coco.py │ │ │ ├── cascade_rcnn_r50_fpn_20e_coco.py │ │ │ ├── cascade_rcnn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── cascade_rcnn_x101_32x4d_fpn_20e_coco.py │ │ │ ├── cascade_rcnn_x101_64x4d_fpn_1x_coco.py │ │ │ ├── cascade_rcnn_x101_64x4d_fpn_20e_coco.py │ │ │ └── metafile.yml │ │ ├── cascade_rpn │ │ │ ├── README.md │ │ │ ├── crpn_fast_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ ├── crpn_faster_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ └── crpn_r50_caffe_fpn_1x_coco.py │ │ ├── centernet │ │ │ ├── README.md │ │ │ ├── centernet_resnet18_140e_coco.py │ │ │ ├── centernet_resnet18_dcnv2_140e_coco.py │ │ │ └── metafile.yml │ │ ├── centripetalnet │ │ │ ├── README.md │ │ │ ├── centripetalnet_hourglass104_mstest_16x6_210e_coco.py │ │ │ └── metafile.yml │ │ ├── cityscapes │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpn_1x_cityscapes.py │ │ │ └── mask_rcnn_r50_fpn_1x_cityscapes.py │ │ ├── common │ │ │ ├── lsj_100e_coco_instance.py │ │ │ ├── mstrain-poly_3x_coco_instance.py │ │ │ ├── mstrain_3x_coco.py │ │ │ └── mstrain_3x_coco_instance.py │ │ ├── cornernet │ │ │ ├── README.md │ │ │ ├── cornernet_hourglass104_mstest_10x5_210e_coco.py │ │ │ ├── cornernet_hourglass104_mstest_32x3_210e_coco.py │ │ │ ├── cornernet_hourglass104_mstest_8x6_210e_coco.py │ │ │ └── metafile.yml │ │ ├── dcn │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── cascade_mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── cascade_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── cascade_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── faster_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_dpool_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_mdpool_1x_coco.py │ │ │ ├── faster_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py │ │ │ └── metafile.yml │ │ ├── deepfashion │ │ │ ├── README.md │ │ │ └── mask_rcnn_r50_fpn_15e_deepfashion.py │ │ ├── deformable_detr │ │ │ ├── README.md │ │ │ ├── deformable_detr_r50_16x2_50e_coco.py │ │ │ ├── deformable_detr_refine_r50_16x2_50e_coco.py │ │ │ ├── deformable_detr_twostage_refine_r50_16x2_50e_coco.py │ │ │ └── metafile.yml │ │ ├── detectors │ │ │ ├── README.md │ │ │ ├── cascade_rcnn_r50_rfp_1x_coco.py │ │ │ ├── cascade_rcnn_r50_sac_1x_coco.py │ │ │ ├── detectors_cascade_rcnn_r50_1x_coco.py │ │ │ ├── detectors_htc_r101_20e_coco.py │ │ │ ├── detectors_htc_r50_1x_coco.py │ │ │ ├── htc_r50_rfp_1x_coco.py │ │ │ ├── htc_r50_sac_1x_coco.py │ │ │ └── metafile.yml │ │ ├── detr │ │ │ ├── README.md │ │ │ ├── detr_r50_8x2_150e_coco.py │ │ │ └── metafile.yml │ │ ├── double_heads │ │ │ ├── README.md │ │ │ ├── dh_faster_rcnn_r50_fpn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── dynamic_rcnn │ │ │ ├── README.md │ │ │ ├── dynamic_rcnn_r50_fpn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── empirical_attention │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpn_attention_0010_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_attention_0010_dcn_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_attention_1111_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_attention_1111_dcn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── fast_rcnn │ │ │ ├── README.md │ │ │ ├── fast_rcnn_r101_caffe_fpn_1x_coco.py │ │ │ ├── fast_rcnn_r101_fpn_1x_coco.py │ │ │ ├── fast_rcnn_r101_fpn_2x_coco.py │ │ │ ├── fast_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ ├── fast_rcnn_r50_fpn_1x_coco.py │ │ │ └── fast_rcnn_r50_fpn_2x_coco.py │ │ ├── faster_rcnn │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r101_caffe_fpn_1x_coco.py │ │ │ ├── faster_rcnn_r101_caffe_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_r101_fpn_1x_coco.py │ │ │ ├── faster_rcnn_r101_fpn_2x_coco.py │ │ │ ├── faster_rcnn_r101_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_c4_1x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_dc5_1x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_dc5_mstrain_1x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_dc5_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_fpn_mstrain_1x_coco-person-bicycle-car.py │ │ │ ├── faster_rcnn_r50_caffe_fpn_mstrain_1x_coco-person.py │ │ │ ├── faster_rcnn_r50_caffe_fpn_mstrain_1x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_fpn_mstrain_2x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_r50_caffe_fpn_mstrain_90k_coco.py │ │ │ ├── faster_rcnn_r50_fpn_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_2x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_bounded_iou_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_ciou_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_giou_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_iou_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_ohem_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_soft_nms_1x_coco.py │ │ │ ├── faster_rcnn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── faster_rcnn_x101_32x4d_fpn_2x_coco.py │ │ │ ├── faster_rcnn_x101_32x4d_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_x101_32x8d_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_x101_64x4d_fpn_1x_coco.py │ │ │ ├── faster_rcnn_x101_64x4d_fpn_2x_coco.py │ │ │ ├── faster_rcnn_x101_64x4d_fpn_mstrain_3x_coco.py │ │ │ └── metafile.yml │ │ ├── fcos │ │ │ ├── README.md │ │ │ ├── fcos_center-normbbox-centeronreg-giou_r101_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py │ │ │ ├── fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco.py │ │ │ ├── fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_dcn_1x_coco.py │ │ │ ├── fcos_center_r50_caffe_fpn_gn-head_1x_coco.py │ │ │ ├── fcos_r101_caffe_fpn_gn-head_1x_coco.py │ │ │ ├── fcos_r101_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py │ │ │ ├── fcos_r50_caffe_fpn_gn-head_1x_coco.py │ │ │ ├── fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py │ │ │ ├── fcos_r50_caffe_fpn_gn-head_mstrain_640-800_2x_coco.py │ │ │ ├── fcos_x101_64x4d_fpn_gn-head_mstrain_640-800_2x_coco.py │ │ │ └── metafile.yml │ │ ├── foveabox │ │ │ ├── README.md │ │ │ ├── fovea_align_r101_fpn_gn-head_4x4_2x_coco.py │ │ │ ├── fovea_align_r101_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py │ │ │ ├── fovea_align_r50_fpn_gn-head_4x4_2x_coco.py │ │ │ ├── fovea_align_r50_fpn_gn-head_mstrain_640-800_4x4_2x_coco.py │ │ │ ├── fovea_r101_fpn_4x4_1x_coco.py │ │ │ ├── fovea_r101_fpn_4x4_2x_coco.py │ │ │ ├── fovea_r50_fpn_4x4_1x_coco.py │ │ │ ├── fovea_r50_fpn_4x4_2x_coco.py │ │ │ └── metafile.yml │ │ ├── fp16 │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpn_fp16_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_fp16_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_fp16_dconv_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_fp16_mdconv_c3-c5_1x_coco.py │ │ │ ├── metafile.yml │ │ │ └── retinanet_r50_fpn_fp16_1x_coco.py │ │ ├── fpg │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpg-chn128_crop640_50e_coco.py │ │ │ ├── faster_rcnn_r50_fpg_crop640_50e_coco.py │ │ │ ├── faster_rcnn_r50_fpn_crop640_50e_coco.py │ │ │ ├── mask_rcnn_r50_fpg-chn128_crop640_50e_coco.py │ │ │ ├── mask_rcnn_r50_fpg_crop640_50e_coco.py │ │ │ ├── mask_rcnn_r50_fpn_crop640_50e_coco.py │ │ │ ├── metafile.yml │ │ │ ├── retinanet_r50_fpg-chn128_crop640_50e_coco.py │ │ │ └── retinanet_r50_fpg_crop640_50e_coco.py │ │ ├── free_anchor │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── retinanet_free_anchor_r101_fpn_1x_coco.py │ │ │ ├── retinanet_free_anchor_r50_fpn_1x_coco.py │ │ │ └── retinanet_free_anchor_x101_32x4d_fpn_1x_coco.py │ │ ├── fsaf │ │ │ ├── README.md │ │ │ ├── fsaf_r101_fpn_1x_coco.py │ │ │ ├── fsaf_r50_fpn_1x_coco.py │ │ │ ├── fsaf_x101_64x4d_fpn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── gcnet │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_r16_gcb_c3-c5_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_r4_gcb_c3-c5_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_r16_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_r4_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_syncbn-backbone_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_r16_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_r4_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_syncbn-backbone_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py │ │ │ ├── mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_x101_32x4d_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py │ │ │ └── metafile.yml │ │ ├── gfl │ │ │ ├── README.md │ │ │ ├── gfl_r101_fpn_dconv_c3-c5_mstrain_2x_coco.py │ │ │ ├── gfl_r101_fpn_mstrain_2x_coco.py │ │ │ ├── gfl_r50_fpn_1x_coco.py │ │ │ ├── gfl_r50_fpn_mstrain_2x_coco.py │ │ │ ├── gfl_x101_32x4d_fpn_dconv_c4-c5_mstrain_2x_coco.py │ │ │ ├── gfl_x101_32x4d_fpn_mstrain_2x_coco.py │ │ │ └── metafile.yml │ │ ├── ghm │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── retinanet_ghm_r101_fpn_1x_coco.py │ │ │ ├── retinanet_ghm_r50_fpn_1x_coco.py │ │ │ ├── retinanet_ghm_x101_32x4d_fpn_1x_coco.py │ │ │ └── retinanet_ghm_x101_64x4d_fpn_1x_coco.py │ │ ├── gn+ws │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r101_fpn_gn_ws-all_1x_coco.py │ │ │ ├── faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py │ │ │ ├── faster_rcnn_x101_32x4d_fpn_gn_ws-all_1x_coco.py │ │ │ ├── faster_rcnn_x50_32x4d_fpn_gn_ws-all_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco.py │ │ │ ├── mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco.py │ │ │ ├── mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py │ │ │ ├── mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco.py │ │ │ ├── mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco.py │ │ │ ├── mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco.py │ │ │ ├── mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py │ │ │ └── metafile.yml │ │ ├── gn │ │ │ ├── README.md │ │ │ ├── mask_rcnn_r101_fpn_gn-all_2x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_gn-all_3x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_gn-all_2x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_gn-all_3x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py │ │ │ └── metafile.yml │ │ ├── grid_rcnn │ │ │ ├── README.md │ │ │ ├── grid_rcnn_r101_fpn_gn-head_2x_coco.py │ │ │ ├── grid_rcnn_r50_fpn_gn-head_1x_coco.py │ │ │ ├── grid_rcnn_r50_fpn_gn-head_2x_coco.py │ │ │ ├── grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco.py │ │ │ ├── grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco.py │ │ │ └── metafile.yml │ │ ├── groie │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpn_groie_1x_coco.py │ │ │ ├── grid_rcnn_r50_fpn_gn-head_groie_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_groie_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_syncbn-backbone_r4_gcb_c3-c5_groie_1x_coco.py │ │ │ └── metafile.yml │ │ ├── guided_anchoring │ │ │ ├── README.md │ │ │ ├── ga_fast_r50_caffe_fpn_1x_coco.py │ │ │ ├── ga_faster_r101_caffe_fpn_1x_coco.py │ │ │ ├── ga_faster_r50_caffe_fpn_1x_coco.py │ │ │ ├── ga_faster_r50_fpn_1x_coco.py │ │ │ ├── ga_faster_x101_32x4d_fpn_1x_coco.py │ │ │ ├── ga_faster_x101_64x4d_fpn_1x_coco.py │ │ │ ├── ga_retinanet_r101_caffe_fpn_1x_coco.py │ │ │ ├── ga_retinanet_r101_caffe_fpn_mstrain_2x.py │ │ │ ├── ga_retinanet_r50_caffe_fpn_1x_coco.py │ │ │ ├── ga_retinanet_r50_fpn_1x_coco.py │ │ │ ├── ga_retinanet_x101_32x4d_fpn_1x_coco.py │ │ │ ├── ga_retinanet_x101_64x4d_fpn_1x_coco.py │ │ │ ├── ga_rpn_r101_caffe_fpn_1x_coco.py │ │ │ ├── ga_rpn_r50_caffe_fpn_1x_coco.py │ │ │ ├── ga_rpn_r50_fpn_1x_coco.py │ │ │ ├── ga_rpn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── ga_rpn_x101_64x4d_fpn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── hrnet │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_hrnetv2p_w18_20e_coco.py │ │ │ ├── cascade_mask_rcnn_hrnetv2p_w32_20e_coco.py │ │ │ ├── cascade_mask_rcnn_hrnetv2p_w40_20e_coco.py │ │ │ ├── cascade_rcnn_hrnetv2p_w18_20e_coco.py │ │ │ ├── cascade_rcnn_hrnetv2p_w32_20e_coco.py │ │ │ ├── cascade_rcnn_hrnetv2p_w40_20e_coco.py │ │ │ ├── faster_rcnn_hrnetv2p_w18_1x_coco.py │ │ │ ├── faster_rcnn_hrnetv2p_w18_2x_coco.py │ │ │ ├── faster_rcnn_hrnetv2p_w32_1x_coco.py │ │ │ ├── faster_rcnn_hrnetv2p_w32_2x_coco.py │ │ │ ├── faster_rcnn_hrnetv2p_w40_1x_coco.py │ │ │ ├── faster_rcnn_hrnetv2p_w40_2x_coco.py │ │ │ ├── fcos_hrnetv2p_w18_gn-head_4x4_1x_coco.py │ │ │ ├── fcos_hrnetv2p_w18_gn-head_4x4_2x_coco.py │ │ │ ├── fcos_hrnetv2p_w18_gn-head_mstrain_640-800_4x4_2x_coco.py │ │ │ ├── fcos_hrnetv2p_w32_gn-head_4x4_1x_coco.py │ │ │ ├── fcos_hrnetv2p_w32_gn-head_4x4_2x_coco.py │ │ │ ├── fcos_hrnetv2p_w32_gn-head_mstrain_640-800_4x4_2x_coco.py │ │ │ ├── fcos_hrnetv2p_w40_gn-head_mstrain_640-800_4x4_2x_coco.py │ │ │ ├── htc_hrnetv2p_w18_20e_coco.py │ │ │ ├── htc_hrnetv2p_w32_20e_coco.py │ │ │ ├── htc_hrnetv2p_w40_20e_coco.py │ │ │ ├── htc_hrnetv2p_w40_28e_coco.py │ │ │ ├── htc_x101_64x4d_fpn_16x1_28e_coco.py │ │ │ ├── mask_rcnn_hrnetv2p_w18_1x_coco.py │ │ │ ├── mask_rcnn_hrnetv2p_w18_2x_coco.py │ │ │ ├── mask_rcnn_hrnetv2p_w32_1x_coco.py │ │ │ ├── mask_rcnn_hrnetv2p_w32_2x_coco.py │ │ │ ├── mask_rcnn_hrnetv2p_w40_1x_coco.py │ │ │ ├── mask_rcnn_hrnetv2p_w40_2x_coco.py │ │ │ └── metafile.yml │ │ ├── htc │ │ │ ├── README.md │ │ │ ├── htc_r101_fpn_20e_coco.py │ │ │ ├── htc_r50_fpn_1x_coco.py │ │ │ ├── htc_r50_fpn_20e_coco.py │ │ │ ├── htc_without_semantic_r50_fpn_1x_coco.py │ │ │ ├── htc_x101_32x4d_fpn_16x1_20e_coco.py │ │ │ ├── htc_x101_64x4d_fpn_16x1_20e_coco.py │ │ │ ├── htc_x101_64x4d_fpn_dconv_c3-c5_mstrain_400_1400_16x1_20e_coco.py │ │ │ └── metafile.yml │ │ ├── instaboost │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_r101_fpn_instaboost_4x_coco.py │ │ │ ├── cascade_mask_rcnn_r50_fpn_instaboost_4x_coco.py │ │ │ ├── cascade_mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_instaboost_4x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_instaboost_4x_coco.py │ │ │ ├── mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco.py │ │ │ └── metafile.yml │ │ ├── ld │ │ │ ├── README.md │ │ │ ├── ld_r101_gflv1_r101dcn_fpn_coco_2x.py │ │ │ ├── ld_r18_gflv1_r101_fpn_coco_1x.py │ │ │ ├── ld_r34_gflv1_r101_fpn_coco_1x.py │ │ │ ├── ld_r50_gflv1_r101_fpn_coco_1x.py │ │ │ └── metafile.yml │ │ ├── legacy_1.x │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_r50_fpn_1x_coco_v1.py │ │ │ ├── faster_rcnn_r50_fpn_1x_coco_v1.py │ │ │ ├── mask_rcnn_r50_fpn_1x_coco_v1.py │ │ │ ├── retinanet_r50_caffe_fpn_1x_coco_v1.py │ │ │ ├── retinanet_r50_fpn_1x_coco_v1.py │ │ │ └── ssd300_coco_v1.py │ │ ├── libra_rcnn │ │ │ ├── README.md │ │ │ ├── libra_fast_rcnn_r50_fpn_1x_coco.py │ │ │ ├── libra_faster_rcnn_r101_fpn_1x_coco.py │ │ │ ├── libra_faster_rcnn_r50_fpn_1x_coco.py │ │ │ ├── libra_faster_rcnn_x101_64x4d_fpn_1x_coco.py │ │ │ ├── libra_retinanet_r50_fpn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── lvis │ │ │ ├── README.md │ │ │ ├── mask_rcnn_r101_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ │ │ ├── mask_rcnn_r101_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py │ │ │ ├── mask_rcnn_r50_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ │ │ ├── mask_rcnn_r50_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py │ │ │ ├── mask_rcnn_x101_32x4d_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ │ │ ├── mask_rcnn_x101_32x4d_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py │ │ │ ├── mask_rcnn_x101_64x4d_fpn_sample1e-3_mstrain_1x_lvis_v1.py │ │ │ └── mask_rcnn_x101_64x4d_fpn_sample1e-3_mstrain_2x_lvis_v0.5.py │ │ ├── mask_rcnn │ │ │ ├── README.md │ │ │ ├── mask_rcnn_r101_caffe_fpn_1x_coco.py │ │ │ ├── mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_1x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_2x_coco.py │ │ │ ├── mask_rcnn_r101_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_r50_caffe_c4_1x_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_mstrain_1x_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_poly_1x_coco_v1.py │ │ │ ├── mask_rcnn_r50_fpn_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_2x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_mstrain-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_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_x101_32x8d_fpn_1x_coco.py │ │ │ ├── mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco.py │ │ │ ├── mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_x101_64x4d_fpn_1x_coco.py │ │ │ ├── mask_rcnn_x101_64x4d_fpn_2x_coco.py │ │ │ ├── mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco.py │ │ │ └── metafile.yml │ │ ├── ms_rcnn │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── ms_rcnn_r101_caffe_fpn_1x_coco.py │ │ │ ├── ms_rcnn_r101_caffe_fpn_2x_coco.py │ │ │ ├── ms_rcnn_r50_caffe_fpn_1x_coco.py │ │ │ ├── ms_rcnn_r50_caffe_fpn_2x_coco.py │ │ │ ├── ms_rcnn_r50_fpn_1x_coco.py │ │ │ ├── ms_rcnn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── ms_rcnn_x101_64x4d_fpn_1x_coco.py │ │ │ └── ms_rcnn_x101_64x4d_fpn_2x_coco.py │ │ ├── nas_fcos │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── nas_fcos_fcoshead_r50_caffe_fpn_gn-head_4x4_1x_coco.py │ │ │ └── nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco.py │ │ ├── nas_fpn │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── retinanet_r50_fpn_crop640_50e_coco.py │ │ │ └── retinanet_r50_nasfpn_crop640_50e_coco.py │ │ ├── paa │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── paa_r101_fpn_1x_coco.py │ │ │ ├── paa_r101_fpn_2x_coco.py │ │ │ ├── paa_r101_fpn_mstrain_3x_coco.py │ │ │ ├── paa_r50_fpn_1.5x_coco.py │ │ │ ├── paa_r50_fpn_1x_coco.py │ │ │ ├── paa_r50_fpn_2x_coco.py │ │ │ └── paa_r50_fpn_mstrain_3x_coco.py │ │ ├── pafpn │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_pafpn_1x_coco.py │ │ │ └── metafile.yml │ │ ├── panoptic_fpn │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── panoptic_fpn_r101_fpn_1x_coco.py │ │ │ ├── panoptic_fpn_r101_fpn_mstrain_3x_coco.py │ │ │ ├── panoptic_fpn_r50_fpn_1x_coco.py │ │ │ └── panoptic_fpn_r50_fpn_mstrain_3x_coco.py │ │ ├── pascal_voc │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpn_1x_voc0712.py │ │ │ ├── faster_rcnn_r50_fpn_1x_voc0712_cocofmt.py │ │ │ ├── retinanet_r50_fpn_1x_voc0712.py │ │ │ ├── ssd300_voc0712.py │ │ │ └── ssd512_voc0712.py │ │ ├── pisa │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── pisa_faster_rcnn_r50_fpn_1x_coco.py │ │ │ ├── pisa_faster_rcnn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── pisa_mask_rcnn_r50_fpn_1x_coco.py │ │ │ ├── pisa_mask_rcnn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── pisa_retinanet_r50_fpn_1x_coco.py │ │ │ ├── pisa_retinanet_x101_32x4d_fpn_1x_coco.py │ │ │ ├── pisa_ssd300_coco.py │ │ │ └── pisa_ssd512_coco.py │ │ ├── point_rend │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── point_rend_r50_caffe_fpn_mstrain_1x_coco.py │ │ │ └── point_rend_r50_caffe_fpn_mstrain_3x_coco.py │ │ ├── pvt │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── retinanet_pvt-l_fpn_1x_coco.py │ │ │ ├── retinanet_pvt-m_fpn_1x_coco.py │ │ │ ├── retinanet_pvt-s_fpn_1x_coco.py │ │ │ ├── retinanet_pvt-t_fpn_1x_coco.py │ │ │ ├── retinanet_pvtv2-b0_fpn_1x_coco.py │ │ │ ├── retinanet_pvtv2-b1_fpn_1x_coco.py │ │ │ ├── retinanet_pvtv2-b2_fpn_1x_coco.py │ │ │ ├── retinanet_pvtv2-b3_fpn_1x_coco.py │ │ │ ├── retinanet_pvtv2-b4_fpn_1x_coco.py │ │ │ └── retinanet_pvtv2-b5_fpn_1x_coco.py │ │ ├── referring_grounding │ │ │ ├── refcoco+ │ │ │ │ ├── fcos_r101_concat_refcoco+.py │ │ │ │ ├── fcos_r101_dynamic_refcoco+.py │ │ │ │ ├── reppoints_r101_concat_refcoco+.py │ │ │ │ ├── reppoints_r101_dynamic_refcoco+.py │ │ │ │ ├── retinanet_r101_concat_refcoco+.py │ │ │ │ └── retinanet_r101_dynamic_refcoco+.py │ │ │ ├── refcoco │ │ │ │ ├── fcos_r101_concat_refcoco.py │ │ │ │ ├── fcos_r101_dynamic_refcoco.py │ │ │ │ ├── reppoints_r101_concat_refcoco.py │ │ │ │ ├── reppoints_r101_dynamic_refcoco.py │ │ │ │ ├── retinanet_r101_concat_refcoco.py │ │ │ │ └── retinanet_r101_dynamic_refcoco.py │ │ │ ├── refcocog │ │ │ │ ├── fcos_r101_concat_refcocog.py │ │ │ │ ├── fcos_r101_dynamic_refcocog.py │ │ │ │ ├── reppoints_r101_concat_refcocog.py │ │ │ │ ├── reppoints_r101_dynamic_refcocog.py │ │ │ │ ├── retinanet_r101_concat_refcocog.py │ │ │ │ └── retinanet_r101_dynamic_refcocog.py │ │ │ └── refcrowd │ │ │ │ ├── fcos_r101_concat_refcrowd.py │ │ │ │ ├── fcos_r101_dynamic_refcrowd.py │ │ │ │ ├── reppoints_r101_concat_refcrowd.py │ │ │ │ ├── reppoints_r101_dynamic_refcrowd.py │ │ │ │ ├── retinanet_r101_concat_refcrowd.py │ │ │ │ └── retinanet_r101_dynamic_refcrowd.py │ │ ├── regnet │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py │ │ │ ├── cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_regnetx-3.2GF_fpn_1x_coco.py │ │ │ ├── faster_rcnn_regnetx-3.2GF_fpn_2x_coco.py │ │ │ ├── faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py │ │ │ ├── faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco.py │ │ │ ├── mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_regnetx-12GF_fpn_1x_coco.py │ │ │ ├── mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py │ │ │ ├── mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco.py │ │ │ ├── mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py │ │ │ ├── mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_regnetx-4GF_fpn_1x_coco.py │ │ │ ├── mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_regnetx-6.4GF_fpn_1x_coco.py │ │ │ ├── mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco.py │ │ │ ├── mask_rcnn_regnetx-8GF_fpn_1x_coco.py │ │ │ ├── metafile.yml │ │ │ ├── retinanet_regnetx-1.6GF_fpn_1x_coco.py │ │ │ ├── retinanet_regnetx-3.2GF_fpn_1x_coco.py │ │ │ └── retinanet_regnetx-800MF_fpn_1x_coco.py │ │ ├── reppoints │ │ │ ├── README.md │ │ │ ├── bbox_r50_grid_center_fpn_gn-neck+head_1x_coco.py │ │ │ ├── bbox_r50_grid_fpn_gn-neck+head_1x_coco.py │ │ │ ├── metafile.yml │ │ │ ├── reppoints.png │ │ │ ├── reppoints_minmax_r50_fpn_gn-neck+head_1x_coco.py │ │ │ ├── reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py │ │ │ ├── reppoints_moment_r101_fpn_gn-neck+head_2x_coco.py │ │ │ ├── reppoints_moment_r50_fpn_1x_coco.py │ │ │ ├── reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py │ │ │ ├── reppoints_moment_r50_fpn_gn-neck+head_2x_coco.py │ │ │ ├── reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py │ │ │ └── reppoints_partial_minmax_r50_fpn_gn-neck+head_1x_coco.py │ │ ├── res2net │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_r2_101_fpn_20e_coco.py │ │ │ ├── cascade_rcnn_r2_101_fpn_20e_coco.py │ │ │ ├── faster_rcnn_r2_101_fpn_2x_coco.py │ │ │ ├── htc_r2_101_fpn_20e_coco.py │ │ │ ├── mask_rcnn_r2_101_fpn_2x_coco.py │ │ │ └── metafile.yml │ │ ├── resnest │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ │ │ ├── cascade_mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ │ │ ├── cascade_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ │ │ ├── cascade_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ │ │ ├── faster_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ │ │ ├── faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py │ │ │ ├── mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ │ │ ├── mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco.py │ │ │ └── metafile.yml │ │ ├── retinanet │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── retinanet_r101_caffe_fpn_1x_coco.py │ │ │ ├── retinanet_r101_caffe_fpn_mstrain_3x_coco.py │ │ │ ├── retinanet_r101_fpn_1x_coco.py │ │ │ ├── retinanet_r101_fpn_2x_coco.py │ │ │ ├── retinanet_r101_fpn_mstrain_640-800_3x_coco.py │ │ │ ├── retinanet_r50_caffe_fpn_1x_coco.py │ │ │ ├── retinanet_r50_caffe_fpn_mstrain_1x_coco.py │ │ │ ├── retinanet_r50_caffe_fpn_mstrain_2x_coco.py │ │ │ ├── retinanet_r50_caffe_fpn_mstrain_3x_coco.py │ │ │ ├── retinanet_r50_fpn_1x_coco.py │ │ │ ├── retinanet_r50_fpn_2x_coco.py │ │ │ ├── retinanet_r50_fpn_mstrain_640-800_3x_coco.py │ │ │ ├── retinanet_x101_32x4d_fpn_1x_coco.py │ │ │ ├── retinanet_x101_32x4d_fpn_2x_coco.py │ │ │ ├── retinanet_x101_64x4d_fpn_1x_coco.py │ │ │ ├── retinanet_x101_64x4d_fpn_2x_coco.py │ │ │ └── retinanet_x101_64x4d_fpn_mstrain_640-800_3x_coco.py │ │ ├── rpn │ │ │ ├── README.md │ │ │ ├── rpn_r101_caffe_fpn_1x_coco.py │ │ │ ├── rpn_r101_fpn_1x_coco.py │ │ │ ├── rpn_r101_fpn_2x_coco.py │ │ │ ├── rpn_r50_caffe_c4_1x_coco.py │ │ │ ├── rpn_r50_caffe_fpn_1x_coco.py │ │ │ ├── rpn_r50_fpn_1x_coco.py │ │ │ ├── rpn_r50_fpn_2x_coco.py │ │ │ ├── rpn_x101_32x4d_fpn_1x_coco.py │ │ │ ├── rpn_x101_32x4d_fpn_2x_coco.py │ │ │ ├── rpn_x101_64x4d_fpn_1x_coco.py │ │ │ └── rpn_x101_64x4d_fpn_2x_coco.py │ │ ├── sabl │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── sabl_cascade_rcnn_r101_fpn_1x_coco.py │ │ │ ├── sabl_cascade_rcnn_r50_fpn_1x_coco.py │ │ │ ├── sabl_faster_rcnn_r101_fpn_1x_coco.py │ │ │ ├── sabl_faster_rcnn_r50_fpn_1x_coco.py │ │ │ ├── sabl_retinanet_r101_fpn_1x_coco.py │ │ │ ├── sabl_retinanet_r101_fpn_gn_1x_coco.py │ │ │ ├── sabl_retinanet_r101_fpn_gn_2x_ms_480_960_coco.py │ │ │ ├── sabl_retinanet_r101_fpn_gn_2x_ms_640_800_coco.py │ │ │ ├── sabl_retinanet_r50_fpn_1x_coco.py │ │ │ └── sabl_retinanet_r50_fpn_gn_1x_coco.py │ │ ├── scnet │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── scnet_r101_fpn_20e_coco.py │ │ │ ├── scnet_r50_fpn_1x_coco.py │ │ │ ├── scnet_r50_fpn_20e_coco.py │ │ │ ├── scnet_x101_64x4d_fpn_20e_coco.py │ │ │ └── scnet_x101_64x4d_fpn_8x1_20e_coco.py │ │ ├── scratch │ │ │ ├── README.md │ │ │ ├── faster_rcnn_r50_fpn_gn-all_scratch_6x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_gn-all_scratch_6x_coco.py │ │ │ └── metafile.yml │ │ ├── seesaw_loss │ │ │ ├── README.md │ │ │ ├── cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py │ │ │ ├── cascade_mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ │ │ ├── cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py │ │ │ ├── cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ │ │ ├── mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py │ │ │ ├── mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ │ │ ├── mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py │ │ │ ├── mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ │ │ ├── mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py │ │ │ ├── mask_rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ │ │ ├── mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py │ │ │ └── mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py │ │ ├── selfsup_pretrain │ │ │ ├── README.md │ │ │ ├── mask_rcnn_r50_fpn_mocov2-pretrain_1x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_mocov2-pretrain_ms-2x_coco.py │ │ │ ├── mask_rcnn_r50_fpn_swav-pretrain_1x_coco.py │ │ │ └── mask_rcnn_r50_fpn_swav-pretrain_ms-2x_coco.py │ │ ├── solo │ │ │ ├── README.md │ │ │ ├── decoupled_solo_light_r50_fpn_3x_coco.py │ │ │ ├── decoupled_solo_r50_fpn_1x_coco.py │ │ │ ├── decoupled_solo_r50_fpn_3x_coco.py │ │ │ ├── metafile.yml │ │ │ ├── solo_r50_fpn_1x_coco.py │ │ │ └── solo_r50_fpn_3x_coco.py │ │ ├── sparse_rcnn │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── sparse_rcnn_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py │ │ │ ├── sparse_rcnn_r101_fpn_mstrain_480-800_3x_coco.py │ │ │ ├── sparse_rcnn_r50_fpn_1x_coco.py │ │ │ ├── sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py │ │ │ └── sparse_rcnn_r50_fpn_mstrain_480-800_3x_coco.py │ │ ├── ssd │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── ssd300_coco.py │ │ │ ├── ssd512_coco.py │ │ │ └── ssdlite_mobilenetv2_scratch_600e_coco.py │ │ ├── strong_baselines │ │ │ ├── README.md │ │ │ ├── mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py │ │ │ ├── mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_400e_coco.py │ │ │ ├── mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py │ │ │ ├── mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py │ │ │ └── mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_50e_coco.py │ │ ├── swin │ │ │ ├── README.md │ │ │ ├── mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco.py │ │ │ ├── mask_rcnn_swin-t-p4-w7_fpn_1x_coco.py │ │ │ ├── mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco.py │ │ │ ├── mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco.py │ │ │ └── metafile.yml │ │ ├── tridentnet │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── tridentnet_r50_caffe_1x_coco.py │ │ │ ├── tridentnet_r50_caffe_mstrain_1x_coco.py │ │ │ └── tridentnet_r50_caffe_mstrain_3x_coco.py │ │ ├── vfnet │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── vfnet_r101_fpn_1x_coco.py │ │ │ ├── vfnet_r101_fpn_2x_coco.py │ │ │ ├── vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ │ │ ├── vfnet_r101_fpn_mstrain_2x_coco.py │ │ │ ├── vfnet_r2_101_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ │ │ ├── vfnet_r2_101_fpn_mstrain_2x_coco.py │ │ │ ├── vfnet_r50_fpn_1x_coco.py │ │ │ ├── vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ │ │ ├── vfnet_r50_fpn_mstrain_2x_coco.py │ │ │ ├── vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ │ │ ├── vfnet_x101_32x4d_fpn_mstrain_2x_coco.py │ │ │ ├── vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py │ │ │ └── vfnet_x101_64x4d_fpn_mstrain_2x_coco.py │ │ ├── wider_face │ │ │ ├── README.md │ │ │ └── ssd300_wider_face.py │ │ ├── yolact │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── yolact_r101_1x8_coco.py │ │ │ ├── yolact_r50_1x8_coco.py │ │ │ └── yolact_r50_8x8_coco.py │ │ ├── yolo │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── yolov3_d53_320_273e_coco.py │ │ │ ├── yolov3_d53_fp16_mstrain-608_273e_coco.py │ │ │ ├── yolov3_d53_mstrain-416_273e_coco.py │ │ │ ├── yolov3_d53_mstrain-608_273e_coco.py │ │ │ ├── yolov3_mobilenetv2_320_300e_coco.py │ │ │ └── yolov3_mobilenetv2_mstrain-416_300e_coco.py │ │ ├── yolof │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── yolof_r50_c5_8x8_1x_coco.py │ │ │ └── yolof_r50_c5_8x8_iter-1x_coco.py │ │ └── yolox │ │ │ ├── README.md │ │ │ ├── metafile.yml │ │ │ ├── yolox_l_8x8_300e_coco.py │ │ │ ├── yolox_m_8x8_300e_coco.py │ │ │ ├── yolox_nano_8x8_300e_coco.py │ │ │ ├── yolox_s_8x8_300e_coco.py │ │ │ ├── yolox_tiny_8x8_300e_coco.py │ │ │ └── yolox_x_8x8_300e_coco.py │ ├── demo │ │ ├── MMDet_Tutorial.ipynb │ │ ├── create_result_gif.py │ │ ├── demo.jpg │ │ ├── demo.mp4 │ │ ├── image_demo.py │ │ ├── inference_demo.ipynb │ │ ├── video_demo.py │ │ └── webcam_demo.py │ ├── model-index.yml │ └── tools │ │ ├── analysis_tools │ │ ├── analyze_logs.py │ │ ├── analyze_results.py │ │ ├── benchmark.py │ │ ├── coco_error_analysis.py │ │ ├── eval_metric.py │ │ ├── get_flops.py │ │ ├── optimize_anchors.py │ │ ├── robustness_eval.py │ │ └── test_robustness.py │ │ ├── dataset_converters │ │ ├── cityscapes.py │ │ ├── images2coco.py │ │ └── pascal_voc.py │ │ ├── deployment │ │ ├── mmdet2torchserve.py │ │ ├── mmdet_handler.py │ │ ├── onnx2tensorrt.py │ │ ├── pytorch2onnx.py │ │ ├── test.py │ │ └── test_torchserver.py │ │ ├── dist_test.sh │ │ ├── dist_train.sh │ │ ├── misc │ │ ├── browse_dataset.py │ │ └── print_config.py │ │ ├── model_converters │ │ ├── detectron2pytorch.py │ │ ├── publish_model.py │ │ ├── regnet2mmdet.py │ │ ├── selfsup2mmdet.py │ │ ├── upgrade_model_version.py │ │ └── upgrade_ssd_version.py │ │ ├── slurm_test.sh │ │ ├── slurm_train.sh │ │ ├── test.py │ │ ├── train.py │ │ └── work_dirs │ │ ├── fcos_r101_caffe_fpn_gn-head_1x_coco │ │ ├── 20211014_135134.log │ │ ├── 20211014_135134.log.json │ │ ├── 20211014_153554.log │ │ ├── 20211014_153554.log.json │ │ ├── 20211014_153702.log │ │ ├── 20211014_153702.log.json │ │ ├── 20211014_153822.log │ │ ├── 20211014_153822.log.json │ │ ├── 20211014_154104.log │ │ ├── 20211014_154104.log.json │ │ ├── 20211014_160249.log │ │ ├── 20211014_160249.log.json │ │ ├── 20211014_160339.log │ │ ├── 20211014_160339.log.json │ │ ├── 20211014_160504.log │ │ ├── 20211014_160504.log.json │ │ ├── 20211014_160623.log │ │ ├── 20211014_160623.log.json │ │ ├── 20211014_160754.log │ │ ├── 20211014_160754.log.json │ │ ├── 20211014_160931.log │ │ ├── 20211014_160931.log.json │ │ ├── 20211014_161112.log │ │ ├── 20211014_161112.log.json │ │ ├── 20211014_161305.log │ │ ├── 20211014_161305.log.json │ │ ├── 20211014_161531.log │ │ ├── 20211014_161531.log.json │ │ ├── 20211014_161636.log │ │ ├── 20211014_161636.log.json │ │ ├── 20211014_161808.log │ │ ├── 20211014_161808.log.json │ │ ├── 20211014_161932.log │ │ ├── 20211014_161932.log.json │ │ ├── 20211014_162145.log │ │ ├── 20211014_162145.log.json │ │ ├── 20211014_162346.log │ │ ├── 20211014_162346.log.json │ │ ├── 20211014_192016.log │ │ ├── 20211014_192016.log.json │ │ ├── 20211014_192044.log │ │ ├── 20211014_192044.log.json │ │ ├── 20211014_192144.log │ │ ├── 20211014_192144.log.json │ │ ├── 20211014_192405.log │ │ ├── 20211014_192405.log.json │ │ ├── 20211014_192450.log │ │ ├── 20211014_192450.log.json │ │ ├── 20211014_192557.log │ │ ├── 20211014_192557.log.json │ │ ├── 20211014_192901.log │ │ ├── 20211014_192901.log.json │ │ ├── 20211014_192936.log │ │ ├── 20211014_192946.log │ │ ├── 20211014_192946.log.json │ │ ├── 20211014_193015.log │ │ ├── 20211014_193015.log.json │ │ ├── 20211014_193049.log │ │ ├── 20211014_193049.log.json │ │ ├── 20211014_193147.log │ │ ├── 20211014_193147.log.json │ │ ├── 20211014_193307.log │ │ ├── 20211014_193307.log.json │ │ ├── 20211014_193344.log │ │ ├── 20211014_193344.log.json │ │ ├── 20211014_193441.log │ │ ├── 20211014_193441.log.json │ │ ├── 20211014_211726.log │ │ ├── 20211014_211726.log.json │ │ └── fcos_r101_caffe_fpn_gn-head_1x_coco.py │ │ ├── fcos_r101_v1 │ │ ├── 20211014_141846.log │ │ ├── 20211014_141846.log.json │ │ ├── 20211014_142006.log │ │ ├── 20211014_142006.log.json │ │ ├── 20211014_142338.log │ │ ├── 20211014_142338.log.json │ │ ├── 20211014_142854.log │ │ ├── 20211014_142854.log.json │ │ ├── 20211014_143115.log │ │ ├── 20211014_143115.log.json │ │ ├── 20211014_144136.log │ │ ├── 20211014_144136.log.json │ │ ├── 20211014_144301.log │ │ ├── 20211014_144301.log.json │ │ ├── 20211014_144349.log │ │ ├── 20211014_144349.log.json │ │ ├── 20211014_144437.log │ │ ├── 20211014_144437.log.json │ │ ├── 20211014_144532.log │ │ ├── 20211014_144532.log.json │ │ ├── 20211014_144656.log │ │ ├── 20211014_144656.log.json │ │ ├── 20211014_144739.log │ │ ├── 20211014_144739.log.json │ │ ├── 20211014_144849.log │ │ ├── 20211014_144849.log.json │ │ ├── 20211014_145101.log │ │ ├── 20211014_145101.log.json │ │ ├── 20211014_145202.log │ │ ├── 20211014_145202.log.json │ │ ├── 20211014_150213.log │ │ ├── 20211014_150213.log.json │ │ ├── 20211014_152138.log │ │ ├── 20211014_152138.log.json │ │ ├── 20211014_152255.log │ │ ├── 20211014_152255.log.json │ │ ├── 20211014_152342.log │ │ ├── 20211014_152342.log.json │ │ ├── 20211014_152446.log │ │ ├── 20211014_152446.log.json │ │ ├── 20211014_152740.log │ │ ├── 20211014_152740.log.json │ │ ├── 20211014_152909.log │ │ ├── 20211014_152909.log.json │ │ ├── 20211014_153048.log │ │ ├── 20211014_153048.log.json │ │ ├── 20211014_153215.log │ │ ├── 20211014_153215.log.json │ │ ├── 20211014_154348.log │ │ ├── 20211014_154703.log │ │ ├── 20211014_154812.log │ │ ├── 20211014_154920.log │ │ ├── 20211014_155002.log │ │ ├── 20211014_155002.log.json │ │ ├── 20211014_155039.log │ │ ├── 20211014_155039.log.json │ │ ├── 20211014_155130.log │ │ ├── 20211014_155130.log.json │ │ ├── 20211014_155157.log │ │ ├── 20211014_155157.log.json │ │ ├── 20211014_155600.log │ │ ├── 20211014_155600.log.json │ │ ├── 20211014_162451.log │ │ ├── 20211014_162451.log.json │ │ ├── 20211014_162843.log │ │ ├── 20211014_162843.log.json │ │ ├── 20211014_163019.log │ │ ├── 20211014_163019.log.json │ │ ├── 20211014_165711.log │ │ ├── 20211014_165711.log.json │ │ ├── 20211014_165817.log │ │ ├── 20211014_165817.log.json │ │ ├── 20211014_165933.log │ │ ├── 20211014_170003.log │ │ ├── 20211014_170003.log.json │ │ ├── 20211014_170316.log │ │ ├── 20211014_170316.log.json │ │ ├── 20211014_170344.log │ │ ├── 20211014_170344.log.json │ │ ├── 20211014_170450.log │ │ ├── 20211014_170450.log.json │ │ ├── 20211014_170615.log │ │ ├── 20211014_170615.log.json │ │ ├── 20211014_171918.log │ │ ├── 20211014_172112.log │ │ ├── 20211014_172355.log │ │ ├── 20211014_172355.log.json │ │ ├── 20211014_172444.log │ │ ├── 20211014_172444.log.json │ │ ├── 20211014_172522.log │ │ ├── 20211014_172607.log │ │ ├── 20211014_173021.log │ │ ├── 20211014_173126.log │ │ ├── 20211014_173126.log.json │ │ ├── 20211014_173238.log │ │ ├── 20211014_173238.log.json │ │ ├── 20211014_173328.log │ │ ├── 20211014_173328.log.json │ │ ├── 20211014_174046.log │ │ ├── 20211014_174046.log.json │ │ ├── 20211014_174127.log │ │ ├── 20211014_174127.log.json │ │ ├── 20211014_174242.log │ │ ├── 20211014_174242.log.json │ │ ├── 20211014_174339.log │ │ ├── 20211014_174339.log.json │ │ ├── 20211014_190947.log │ │ ├── 20211014_190947.log.json │ │ ├── 20211014_191128.log │ │ ├── 20211014_191128.log.json │ │ ├── 20211014_191815.log │ │ ├── 20211014_191815.log.json │ │ ├── 20211014_191902.log │ │ ├── 20211014_191902.log.json │ │ ├── 20211014_212028.log │ │ ├── 20211014_212028.log.json │ │ ├── 20211016_150150.log │ │ ├── 20211016_150602.log │ │ ├── 20211016_150936.log │ │ ├── 20211016_151021.log │ │ ├── 20211016_151510.log │ │ ├── 20211016_152430.log │ │ ├── 20211016_152548.log │ │ ├── 20211016_152719.log │ │ ├── 20211016_153001.log │ │ ├── 20211016_153126.log │ │ ├── 20211016_153217.log │ │ ├── 20211016_153342.log │ │ ├── 20211016_153434.log │ │ ├── 20211016_153630.log │ │ ├── 20211016_153705.log │ │ ├── 20211016_154433.log │ │ ├── 20211016_154433.log.json │ │ ├── 20211016_154607.log │ │ ├── 20211016_154607.log.json │ │ ├── 20211016_154706.log │ │ ├── 20211016_154706.log.json │ │ ├── 20211016_160025.log │ │ ├── 20211016_160503.log │ │ ├── 20211016_160503.log.json │ │ ├── 20211016_160728.log │ │ ├── 20211016_160728.log.json │ │ ├── 20211016_160835.log │ │ ├── 20211016_160835.log.json │ │ ├── 20211016_163609.log │ │ ├── 20211016_163609.log.json │ │ ├── 20211016_163842.log │ │ ├── 20211016_163842.log.json │ │ ├── 20211016_164049.log │ │ ├── 20211016_164049.log.json │ │ ├── 20211016_164355.log │ │ ├── 20211016_164355.log.json │ │ ├── 20211016_164443.log │ │ ├── 20211016_164443.log.json │ │ ├── 20211016_164602.log │ │ ├── 20211016_164602.log.json │ │ └── fcos_r101_v1.py │ │ ├── fcos_r101_v10 │ │ ├── 20211017_150416.log │ │ ├── 20211017_150416.log.json │ │ ├── 20211017_151750.log │ │ ├── 20211017_151750.log.json │ │ ├── 20211017_154940.log │ │ ├── 20211017_154940.log.json │ │ ├── 20211017_155456.log │ │ ├── 20211017_155456.log.json │ │ ├── 20211017_160839.log │ │ ├── 20211017_160839.log.json │ │ ├── 20211017_160933.log │ │ ├── 20211017_160933.log.json │ │ ├── 20211017_161731.log │ │ ├── 20211017_161731.log.json │ │ ├── 20211017_162145.log │ │ ├── 20211017_162145.log.json │ │ └── fcos_r101_v10.py │ │ ├── fcos_r101_v12 │ │ ├── 20220403_202400.log │ │ ├── 20220403_202400.log.json │ │ ├── 20220403_202524.log │ │ ├── 20220403_202524.log.json │ │ ├── 20220403_202615.log │ │ ├── 20220403_202615.log.json │ │ └── fcos_r101_v12.py │ │ ├── fcos_r101_v15 │ │ ├── 20220404_102736.log │ │ ├── 20220404_102736.log.json │ │ ├── 20220404_142514.log │ │ ├── 20220404_142514.log.json │ │ ├── 20220404_142638.log │ │ ├── 20220404_142638.log.json │ │ ├── 20220404_143036.log │ │ ├── 20220404_143036.log.json │ │ ├── 20220404_143150.log │ │ ├── 20220404_143150.log.json │ │ ├── 20220404_143408.log │ │ ├── 20220404_143408.log.json │ │ ├── 20220404_143813.log │ │ ├── 20220404_143813.log.json │ │ ├── 20220404_144214.log │ │ ├── 20220404_144214.log.json │ │ ├── 20220404_144342.log │ │ ├── 20220404_144342.log.json │ │ └── fcos_r101_v15.py │ │ ├── fcos_r101_v60 │ │ ├── 20220411_105247.log │ │ ├── 20220411_105247.log.json │ │ ├── 20220411_105404.log │ │ ├── 20220411_105404.log.json │ │ ├── 20220411_110820.log │ │ ├── 20220411_110820.log.json │ │ ├── 20220411_111139.log │ │ ├── 20220411_111139.log.json │ │ ├── 20220411_111734.log │ │ ├── 20220411_111734.log.json │ │ ├── 20220411_112015.log │ │ ├── 20220411_112015.log.json │ │ ├── 20220411_113019.log │ │ ├── 20220411_113019.log.json │ │ ├── 20220411_113153.log │ │ ├── 20220411_113153.log.json │ │ └── fcos_r101_v60.py │ │ └── reppoints_r101_v1 │ │ ├── 20211014_153331.log │ │ ├── 20211014_153331.log.json │ │ ├── 20211014_191328.log │ │ ├── 20211014_191328.log.json │ │ ├── 20211014_191417.log │ │ ├── 20211014_191417.log.json │ │ ├── 20211014_191501.log │ │ ├── 20211014_191501.log.json │ │ ├── 20211014_191550.log │ │ ├── 20211014_191550.log.json │ │ └── reppoints_r101_v1.py ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-37.pyc │ └── version.cpython-37.pyc ├── apis │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── inference.cpython-37.pyc │ │ ├── test.cpython-37.pyc │ │ └── train.cpython-37.pyc │ ├── inference.py │ ├── test.py │ └── train.py ├── core │ ├── __init__.py │ ├── __pycache__ │ │ └── __init__.cpython-37.pyc │ ├── anchor │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── anchor_generator.cpython-37.pyc │ │ │ ├── builder.cpython-37.pyc │ │ │ ├── point_generator.cpython-37.pyc │ │ │ └── utils.cpython-37.pyc │ │ ├── anchor_generator.py │ │ ├── builder.py │ │ ├── point_generator.py │ │ └── utils.py │ ├── bbox │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── builder.cpython-37.pyc │ │ │ ├── demodata.cpython-37.pyc │ │ │ └── transforms.cpython-37.pyc │ │ ├── assigners │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── approx_max_iou_assigner.cpython-37.pyc │ │ │ │ ├── assign_result.cpython-37.pyc │ │ │ │ ├── atss_assigner.cpython-37.pyc │ │ │ │ ├── base_assigner.cpython-37.pyc │ │ │ │ ├── center_region_assigner.cpython-37.pyc │ │ │ │ ├── grid_assigner.cpython-37.pyc │ │ │ │ ├── hungarian_assigner.cpython-37.pyc │ │ │ │ ├── max_iou_assigner.cpython-37.pyc │ │ │ │ ├── point_assigner.cpython-37.pyc │ │ │ │ ├── region_assigner.cpython-37.pyc │ │ │ │ ├── sim_ota_assigner.cpython-37.pyc │ │ │ │ └── uniform_assigner.cpython-37.pyc │ │ │ ├── approx_max_iou_assigner.py │ │ │ ├── assign_result.py │ │ │ ├── atss_assigner.py │ │ │ ├── base_assigner.py │ │ │ ├── center_region_assigner.py │ │ │ ├── grid_assigner.py │ │ │ ├── hungarian_assigner.py │ │ │ ├── max_iou_assigner.py │ │ │ ├── point_assigner.py │ │ │ ├── region_assigner.py │ │ │ ├── sim_ota_assigner.py │ │ │ └── uniform_assigner.py │ │ ├── builder.py │ │ ├── coder │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── base_bbox_coder.cpython-37.pyc │ │ │ │ ├── bucketing_bbox_coder.cpython-37.pyc │ │ │ │ ├── delta_xywh_bbox_coder.cpython-37.pyc │ │ │ │ ├── legacy_delta_xywh_bbox_coder.cpython-37.pyc │ │ │ │ ├── pseudo_bbox_coder.cpython-37.pyc │ │ │ │ ├── tblr_bbox_coder.cpython-37.pyc │ │ │ │ └── yolo_bbox_coder.cpython-37.pyc │ │ │ ├── base_bbox_coder.py │ │ │ ├── bucketing_bbox_coder.py │ │ │ ├── delta_xywh_bbox_coder.py │ │ │ ├── legacy_delta_xywh_bbox_coder.py │ │ │ ├── pseudo_bbox_coder.py │ │ │ ├── tblr_bbox_coder.py │ │ │ └── yolo_bbox_coder.py │ │ ├── demodata.py │ │ ├── iou_calculators │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── builder.cpython-37.pyc │ │ │ │ └── iou2d_calculator.cpython-37.pyc │ │ │ ├── builder.py │ │ │ └── iou2d_calculator.py │ │ ├── match_costs │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── builder.cpython-37.pyc │ │ │ │ └── match_cost.cpython-37.pyc │ │ │ ├── builder.py │ │ │ └── match_cost.py │ │ ├── samplers │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── base_sampler.cpython-37.pyc │ │ │ │ ├── combined_sampler.cpython-37.pyc │ │ │ │ ├── instance_balanced_pos_sampler.cpython-37.pyc │ │ │ │ ├── iou_balanced_neg_sampler.cpython-37.pyc │ │ │ │ ├── ohem_sampler.cpython-37.pyc │ │ │ │ ├── pseudo_sampler.cpython-37.pyc │ │ │ │ ├── random_sampler.cpython-37.pyc │ │ │ │ ├── sampling_result.cpython-37.pyc │ │ │ │ └── score_hlr_sampler.cpython-37.pyc │ │ │ ├── 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 │ │ │ └── score_hlr_sampler.py │ │ └── transforms.py │ ├── data_structures │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── general_data.cpython-37.pyc │ │ │ └── instance_data.cpython-37.pyc │ │ ├── general_data.py │ │ └── instance_data.py │ ├── evaluation │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── bbox_overlaps.cpython-37.pyc │ │ │ ├── class_names.cpython-37.pyc │ │ │ ├── eval_hooks.cpython-37.pyc │ │ │ ├── mean_ap.cpython-37.pyc │ │ │ └── recall.cpython-37.pyc │ │ ├── bbox_overlaps.py │ │ ├── class_names.py │ │ ├── eval_hooks.py │ │ ├── mean_ap.py │ │ └── recall.py │ ├── export │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── onnx_helper.cpython-37.pyc │ │ │ └── pytorch2onnx.cpython-37.pyc │ │ ├── model_wrappers.py │ │ ├── onnx_helper.py │ │ └── pytorch2onnx.py │ ├── hook │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── checkloss_hook.cpython-37.pyc │ │ │ ├── ema.cpython-37.pyc │ │ │ ├── sync_norm_hook.cpython-37.pyc │ │ │ ├── sync_random_size_hook.cpython-37.pyc │ │ │ ├── yolox_lrupdater_hook.cpython-37.pyc │ │ │ └── yolox_mode_switch_hook.cpython-37.pyc │ │ ├── checkloss_hook.py │ │ ├── ema.py │ │ ├── sync_norm_hook.py │ │ ├── sync_random_size_hook.py │ │ ├── yolox_lrupdater_hook.py │ │ └── yolox_mode_switch_hook.py │ ├── mask │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── mask_target.cpython-37.pyc │ │ │ ├── structures.cpython-37.pyc │ │ │ └── utils.cpython-37.pyc │ │ ├── mask_target.py │ │ ├── structures.py │ │ └── utils.py │ ├── post_processing │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── bbox_nms.cpython-37.pyc │ │ │ ├── matrix_nms.cpython-37.pyc │ │ │ └── merge_augs.cpython-37.pyc │ │ ├── bbox_nms.py │ │ ├── matrix_nms.py │ │ └── merge_augs.py │ ├── utils │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── dist_utils.cpython-37.pyc │ │ │ └── misc.cpython-37.pyc │ │ ├── dist_utils.py │ │ └── misc.py │ └── visualization │ │ ├── __init__.py │ │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ └── image.cpython-37.pyc │ │ └── image.py ├── datasets │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── builder.cpython-37.pyc │ │ ├── cityscapes.cpython-37.pyc │ │ ├── coco.cpython-37.pyc │ │ ├── coco_panoptic.cpython-37.pyc │ │ ├── custom.cpython-37.pyc │ │ ├── dataset_wrappers.cpython-37.pyc │ │ ├── deepfashion.cpython-37.pyc │ │ ├── lvis.cpython-37.pyc │ │ ├── refcoco.cpython-37.pyc │ │ ├── refcrowd.cpython-37.pyc │ │ ├── utils.cpython-37.pyc │ │ ├── voc.cpython-37.pyc │ │ ├── wider_face.cpython-37.pyc │ │ └── xml_style.cpython-37.pyc │ ├── api_wrappers │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ └── coco_api.cpython-37.pyc │ │ └── coco_api.py │ ├── builder.py │ ├── cityscapes.py │ ├── coco.py │ ├── coco_panoptic.py │ ├── custom.py │ ├── dataset_wrappers.py │ ├── deepfashion.py │ ├── lvis.py │ ├── pipelines │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── auto_augment.cpython-37.pyc │ │ │ ├── compose.cpython-37.pyc │ │ │ ├── formating.cpython-37.pyc │ │ │ ├── instaboost.cpython-37.pyc │ │ │ ├── loading.cpython-37.pyc │ │ │ ├── test_time_aug.cpython-37.pyc │ │ │ └── transforms.cpython-37.pyc │ │ ├── auto_augment.py │ │ ├── compose.py │ │ ├── formating.py │ │ ├── formating_mm_orig.py │ │ ├── formating_our.py │ │ ├── formating_refer_our.py │ │ ├── instaboost.py │ │ ├── loading.py │ │ ├── test_time_aug.py │ │ └── transforms.py │ ├── refcoco.py │ ├── refcrowd.py │ ├── samplers │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── distributed_sampler.cpython-37.pyc │ │ │ └── group_sampler.cpython-37.pyc │ │ ├── distributed_sampler.py │ │ └── group_sampler.py │ ├── utils.py │ ├── voc.py │ ├── wider_face.py │ └── xml_style.py ├── models │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ └── builder.cpython-37.pyc │ ├── backbones │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── csp_darknet.cpython-37.pyc │ │ │ ├── darknet.cpython-37.pyc │ │ │ ├── detectors_resnet.cpython-37.pyc │ │ │ ├── detectors_resnext.cpython-37.pyc │ │ │ ├── hourglass.cpython-37.pyc │ │ │ ├── hrnet.cpython-37.pyc │ │ │ ├── mobilenet_v2.cpython-37.pyc │ │ │ ├── pvt.cpython-37.pyc │ │ │ ├── regnet.cpython-37.pyc │ │ │ ├── res2net.cpython-37.pyc │ │ │ ├── resnest.cpython-37.pyc │ │ │ ├── resnet.cpython-37.pyc │ │ │ ├── resnext.cpython-37.pyc │ │ │ ├── ssd_vgg.cpython-37.pyc │ │ │ ├── swin.cpython-37.pyc │ │ │ └── trident_resnet.cpython-37.pyc │ │ ├── csp_darknet.py │ │ ├── darknet.py │ │ ├── detectors_resnet.py │ │ ├── detectors_resnext.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 │ ├── builder.py │ ├── dense_heads │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── anchor_free_head.cpython-37.pyc │ │ │ ├── anchor_head.cpython-37.pyc │ │ │ ├── atss_head.cpython-37.pyc │ │ │ ├── autoassign_head.cpython-37.pyc │ │ │ ├── base_dense_head.cpython-37.pyc │ │ │ ├── base_mask_head.cpython-37.pyc │ │ │ ├── cascade_rpn_head.cpython-37.pyc │ │ │ ├── centernet_head.cpython-37.pyc │ │ │ ├── centripetal_head.cpython-37.pyc │ │ │ ├── corner_head.cpython-37.pyc │ │ │ ├── deformable_detr_head.cpython-37.pyc │ │ │ ├── dense_test_mixins.cpython-37.pyc │ │ │ ├── detr_head.cpython-37.pyc │ │ │ ├── embedding_rpn_head.cpython-37.pyc │ │ │ ├── fcos_head.cpython-37.pyc │ │ │ ├── fovea_head.cpython-37.pyc │ │ │ ├── free_anchor_retina_head.cpython-37.pyc │ │ │ ├── fsaf_head.cpython-37.pyc │ │ │ ├── ga_retina_head.cpython-37.pyc │ │ │ ├── ga_rpn_head.cpython-37.pyc │ │ │ ├── gfl_head.cpython-37.pyc │ │ │ ├── guided_anchor_head.cpython-37.pyc │ │ │ ├── ld_head.cpython-37.pyc │ │ │ ├── nasfcos_head.cpython-37.pyc │ │ │ ├── paa_head.cpython-37.pyc │ │ │ ├── pisa_retinanet_head.cpython-37.pyc │ │ │ ├── pisa_ssd_head.cpython-37.pyc │ │ │ ├── reppoints_head.cpython-37.pyc │ │ │ ├── retina_head.cpython-37.pyc │ │ │ ├── retina_sepbn_head.cpython-37.pyc │ │ │ ├── rpn_head.cpython-37.pyc │ │ │ ├── sabl_retina_head.cpython-37.pyc │ │ │ ├── solo_head.cpython-37.pyc │ │ │ ├── ssd_head.cpython-37.pyc │ │ │ ├── vfnet_head.cpython-37.pyc │ │ │ ├── yolact_head.cpython-37.pyc │ │ │ ├── yolo_head.cpython-37.pyc │ │ │ ├── yolof_head.cpython-37.pyc │ │ │ └── yolox_head.cpython-37.pyc │ │ ├── anchor_free_head.py │ │ ├── anchor_head.py │ │ ├── atss_head.py │ │ ├── autoassign_head.py │ │ ├── base_dense_head.py │ │ ├── base_mask_head.py │ │ ├── cascade_rpn_head.py │ │ ├── centernet_head.py │ │ ├── centripetal_head.py │ │ ├── corner_head.py │ │ ├── deformable_detr_head.py │ │ ├── dense_test_mixins.py │ │ ├── detr_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 │ │ ├── guided_anchor_head.py │ │ ├── ld_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 │ │ ├── sabl_retina_head.py │ │ ├── solo_head.py │ │ ├── ssd_head.py │ │ ├── vfnet_head.py │ │ ├── yolact_head.py │ │ ├── yolo_head.py │ │ ├── yolof_head.py │ │ └── yolox_head.py │ ├── detectors │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── atss.cpython-37.pyc │ │ │ ├── autoassign.cpython-37.pyc │ │ │ ├── base.cpython-37.pyc │ │ │ ├── cascade_rcnn.cpython-37.pyc │ │ │ ├── centernet.cpython-37.pyc │ │ │ ├── cornernet.cpython-37.pyc │ │ │ ├── deformable_detr.cpython-37.pyc │ │ │ ├── detr.cpython-37.pyc │ │ │ ├── fast_rcnn.cpython-37.pyc │ │ │ ├── faster_rcnn.cpython-37.pyc │ │ │ ├── fcos.cpython-37.pyc │ │ │ ├── fovea.cpython-37.pyc │ │ │ ├── fsaf.cpython-37.pyc │ │ │ ├── gfl.cpython-37.pyc │ │ │ ├── grid_rcnn.cpython-37.pyc │ │ │ ├── htc.cpython-37.pyc │ │ │ ├── kd_one_stage.cpython-37.pyc │ │ │ ├── mask_rcnn.cpython-37.pyc │ │ │ ├── mask_scoring_rcnn.cpython-37.pyc │ │ │ ├── nasfcos.cpython-37.pyc │ │ │ ├── paa.cpython-37.pyc │ │ │ ├── panoptic_fpn.cpython-37.pyc │ │ │ ├── panoptic_two_stage_segmentor.cpython-37.pyc │ │ │ ├── point_rend.cpython-37.pyc │ │ │ ├── reppoints_detector.cpython-37.pyc │ │ │ ├── retinanet.cpython-37.pyc │ │ │ ├── rpn.cpython-37.pyc │ │ │ ├── scnet.cpython-37.pyc │ │ │ ├── single_stage.cpython-37.pyc │ │ │ ├── single_stage_instance_seg.cpython-37.pyc │ │ │ ├── solo.cpython-37.pyc │ │ │ ├── sparse_rcnn.cpython-37.pyc │ │ │ ├── trident_faster_rcnn.cpython-37.pyc │ │ │ ├── two_stage.cpython-37.pyc │ │ │ ├── vfnet.cpython-37.pyc │ │ │ ├── yolact.cpython-37.pyc │ │ │ ├── yolo.cpython-37.pyc │ │ │ ├── yolof.cpython-37.pyc │ │ │ └── yolox.cpython-37.pyc │ │ ├── atss.py │ │ ├── autoassign.py │ │ ├── base.py │ │ ├── cascade_rcnn.py │ │ ├── centernet.py │ │ ├── cornernet.py │ │ ├── deformable_detr.py │ │ ├── detr.py │ │ ├── fast_rcnn.py │ │ ├── faster_rcnn.py │ │ ├── fcos.py │ │ ├── fovea.py │ │ ├── fsaf.py │ │ ├── gfl.py │ │ ├── grid_rcnn.py │ │ ├── htc.py │ │ ├── kd_one_stage.py │ │ ├── mask_rcnn.py │ │ ├── mask_scoring_rcnn.py │ │ ├── nasfcos.py │ │ ├── paa.py │ │ ├── panoptic_fpn.py │ │ ├── panoptic_two_stage_segmentor.py │ │ ├── point_rend.py │ │ ├── reppoints_detector.py │ │ ├── retinanet.py │ │ ├── rpn.py │ │ ├── scnet.py │ │ ├── single_stage.py │ │ ├── single_stage_instance_seg.py │ │ ├── solo.py │ │ ├── sparse_rcnn.py │ │ ├── trident_faster_rcnn.py │ │ ├── two_stage.py │ │ ├── vfnet.py │ │ ├── yolact.py │ │ ├── yolo.py │ │ ├── yolof.py │ │ └── yolox.py │ ├── losses │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── accuracy.cpython-37.pyc │ │ │ ├── ae_loss.cpython-37.pyc │ │ │ ├── balanced_l1_loss.cpython-37.pyc │ │ │ ├── cross_entropy_loss.cpython-37.pyc │ │ │ ├── dice_loss.cpython-37.pyc │ │ │ ├── focal_loss.cpython-37.pyc │ │ │ ├── gaussian_focal_loss.cpython-37.pyc │ │ │ ├── gfocal_loss.cpython-37.pyc │ │ │ ├── ghm_loss.cpython-37.pyc │ │ │ ├── iou_loss.cpython-37.pyc │ │ │ ├── kd_loss.cpython-37.pyc │ │ │ ├── mse_loss.cpython-37.pyc │ │ │ ├── pisa_loss.cpython-37.pyc │ │ │ ├── seesaw_loss.cpython-37.pyc │ │ │ ├── smooth_l1_loss.cpython-37.pyc │ │ │ ├── utils.cpython-37.pyc │ │ │ └── varifocal_loss.cpython-37.pyc │ │ ├── accuracy.py │ │ ├── ae_loss.py │ │ ├── balanced_l1_loss.py │ │ ├── cross_entropy_loss.py │ │ ├── dice_loss.py │ │ ├── focal_loss.py │ │ ├── gaussian_focal_loss.py │ │ ├── gfocal_loss.py │ │ ├── ghm_loss.py │ │ ├── iou_loss.py │ │ ├── kd_loss.py │ │ ├── mse_loss.py │ │ ├── pisa_loss.py │ │ ├── seesaw_loss.py │ │ ├── smooth_l1_loss.py │ │ ├── utils.py │ │ └── varifocal_loss.py │ ├── necks │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── bfp.cpython-37.pyc │ │ │ ├── channel_mapper.cpython-37.pyc │ │ │ ├── ct_resnet_neck.cpython-37.pyc │ │ │ ├── dilated_encoder.cpython-37.pyc │ │ │ ├── fpg.cpython-37.pyc │ │ │ ├── fpn.cpython-37.pyc │ │ │ ├── fpn_carafe.cpython-37.pyc │ │ │ ├── hrfpn.cpython-37.pyc │ │ │ ├── nas_fpn.cpython-37.pyc │ │ │ ├── nasfcos_fpn.cpython-37.pyc │ │ │ ├── pafpn.cpython-37.pyc │ │ │ ├── rfp.cpython-37.pyc │ │ │ ├── ssd_neck.cpython-37.pyc │ │ │ ├── yolo_neck.cpython-37.pyc │ │ │ └── yolox_pafpn.cpython-37.pyc │ │ ├── bfp.py │ │ ├── channel_mapper.py │ │ ├── ct_resnet_neck.py │ │ ├── dilated_encoder.py │ │ ├── fpg.py │ │ ├── fpn.py │ │ ├── fpn_carafe.py │ │ ├── hrfpn.py │ │ ├── nas_fpn.py │ │ ├── nasfcos_fpn.py │ │ ├── pafpn.py │ │ ├── rfp.py │ │ ├── ssd_neck.py │ │ ├── yolo_neck.py │ │ └── yolox_pafpn.py │ ├── plugins │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ └── dropblock.cpython-37.pyc │ │ └── dropblock.py │ ├── refer_nets │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── lang_encoder.cpython-37.pyc │ │ │ └── multimodal_fusion.cpython-37.pyc │ │ ├── lang_encoder.py │ │ └── multimodal_fusion.py │ ├── roi_heads │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── base_roi_head.cpython-37.pyc │ │ │ ├── cascade_roi_head.cpython-37.pyc │ │ │ ├── double_roi_head.cpython-37.pyc │ │ │ ├── dynamic_roi_head.cpython-37.pyc │ │ │ ├── grid_roi_head.cpython-37.pyc │ │ │ ├── htc_roi_head.cpython-37.pyc │ │ │ ├── mask_scoring_roi_head.cpython-37.pyc │ │ │ ├── pisa_roi_head.cpython-37.pyc │ │ │ ├── point_rend_roi_head.cpython-37.pyc │ │ │ ├── scnet_roi_head.cpython-37.pyc │ │ │ ├── sparse_roi_head.cpython-37.pyc │ │ │ ├── standard_roi_head.cpython-37.pyc │ │ │ ├── test_mixins.cpython-37.pyc │ │ │ └── trident_roi_head.cpython-37.pyc │ │ ├── base_roi_head.py │ │ ├── bbox_heads │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── bbox_head.cpython-37.pyc │ │ │ │ ├── convfc_bbox_head.cpython-37.pyc │ │ │ │ ├── dii_head.cpython-37.pyc │ │ │ │ ├── double_bbox_head.cpython-37.pyc │ │ │ │ ├── sabl_head.cpython-37.pyc │ │ │ │ └── scnet_bbox_head.cpython-37.pyc │ │ │ ├── bbox_head.py │ │ │ ├── convfc_bbox_head.py │ │ │ ├── dii_head.py │ │ │ ├── double_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 │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── coarse_mask_head.cpython-37.pyc │ │ │ │ ├── fcn_mask_head.cpython-37.pyc │ │ │ │ ├── feature_relay_head.cpython-37.pyc │ │ │ │ ├── fused_semantic_head.cpython-37.pyc │ │ │ │ ├── global_context_head.cpython-37.pyc │ │ │ │ ├── grid_head.cpython-37.pyc │ │ │ │ ├── htc_mask_head.cpython-37.pyc │ │ │ │ ├── mask_point_head.cpython-37.pyc │ │ │ │ ├── maskiou_head.cpython-37.pyc │ │ │ │ ├── scnet_mask_head.cpython-37.pyc │ │ │ │ └── scnet_semantic_head.cpython-37.pyc │ │ │ ├── coarse_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 │ │ ├── pisa_roi_head.py │ │ ├── point_rend_roi_head.py │ │ ├── roi_extractors │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ ├── base_roi_extractor.cpython-37.pyc │ │ │ │ ├── generic_roi_extractor.cpython-37.pyc │ │ │ │ └── single_level_roi_extractor.cpython-37.pyc │ │ │ ├── base_roi_extractor.py │ │ │ ├── generic_roi_extractor.py │ │ │ └── single_level_roi_extractor.py │ │ ├── scnet_roi_head.py │ │ ├── shared_heads │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-37.pyc │ │ │ │ └── res_layer.cpython-37.pyc │ │ │ └── res_layer.py │ │ ├── sparse_roi_head.py │ │ ├── standard_roi_head.py │ │ ├── test_mixins.py │ │ └── trident_roi_head.py │ ├── seg_heads │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── base_semantic_head.cpython-37.pyc │ │ │ └── panoptic_fpn_head.cpython-37.pyc │ │ ├── base_semantic_head.py │ │ ├── panoptic_fpn_head.py │ │ └── panoptic_fusion_heads │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-37.pyc │ │ │ ├── base_panoptic_fusion_head.cpython-37.pyc │ │ │ └── heuristic_fusion_head.cpython-37.pyc │ │ │ ├── base_panoptic_fusion_head.py │ │ │ └── heuristic_fusion_head.py │ └── utils │ │ ├── __init__.py │ │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── brick_wrappers.cpython-37.pyc │ │ ├── builder.cpython-37.pyc │ │ ├── ckpt_convert.cpython-37.pyc │ │ ├── conv_upsample.cpython-37.pyc │ │ ├── csp_layer.cpython-37.pyc │ │ ├── gaussian_target.cpython-37.pyc │ │ ├── inverted_residual.cpython-37.pyc │ │ ├── make_divisible.cpython-37.pyc │ │ ├── misc.cpython-37.pyc │ │ ├── normed_predictor.cpython-37.pyc │ │ ├── positional_encoding.cpython-37.pyc │ │ ├── res_layer.cpython-37.pyc │ │ ├── se_layer.cpython-37.pyc │ │ └── transformer.cpython-37.pyc │ │ ├── brick_wrappers.py │ │ ├── builder.py │ │ ├── ckpt_convert.py │ │ ├── conv_upsample.py │ │ ├── csp_layer.py │ │ ├── gaussian_target.py │ │ ├── inverted_residual.py │ │ ├── make_divisible.py │ │ ├── misc.py │ │ ├── normed_predictor.py │ │ ├── positional_encoding.py │ │ ├── res_layer.py │ │ ├── se_layer.py │ │ └── transformer.py ├── utils │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── collect_env.cpython-37.pyc │ │ ├── contextmanagers.cpython-37.pyc │ │ ├── logger.cpython-37.pyc │ │ ├── util_mixins.cpython-37.pyc │ │ └── util_random.cpython-37.pyc │ ├── collect_env.py │ ├── contextmanagers.py │ ├── logger.py │ ├── profiling.py │ ├── util_mixins.py │ └── util_random.py └── version.py ├── model-index.yml ├── pytest.ini ├── requirements.txt ├── requirements ├── build.txt ├── docs.txt ├── mminstall.txt ├── optional.txt ├── readthedocs.txt ├── runtime.txt └── tests.txt ├── resources ├── coco_test_12510.jpg ├── corruptions_sev_3.png ├── data_pipeline.png ├── loss_curve.png ├── mmdet-logo.png ├── mmdetection-ref_framework.png ├── qq_group_qrcode.jpg └── zhihu_qrcode.jpg ├── setup.cfg ├── setup.py ├── tests ├── data │ ├── VOCdevkit │ │ ├── VOC2007 │ │ │ ├── Annotations │ │ │ │ └── 000001.xml │ │ │ ├── ImageSets │ │ │ │ └── Main │ │ │ │ │ ├── test.txt │ │ │ │ │ └── trainval.txt │ │ │ └── JPEGImages │ │ │ │ └── 000001.jpg │ │ └── VOC2012 │ │ │ ├── Annotations │ │ │ └── 000001.xml │ │ │ ├── ImageSets │ │ │ └── Main │ │ │ │ ├── test.txt │ │ │ │ └── trainval.txt │ │ │ └── JPEGImages │ │ │ └── 000001.jpg │ ├── coco_sample.json │ ├── color.jpg │ ├── configs_mmtrack │ │ ├── faster_rcnn_r50_dc5.py │ │ ├── faster_rcnn_r50_fpn.py │ │ ├── mot_challenge.py │ │ ├── selsa_faster_rcnn_r101_dc5_1x.py │ │ └── tracktor_faster-rcnn_r50_fpn_4e.py │ ├── custom_dataset │ │ ├── images │ │ │ ├── 000001.jpg │ │ │ └── 000001.xml │ │ ├── test.txt │ │ └── trainval.txt │ └── gray.jpg ├── test_data │ ├── test_datasets │ │ ├── test_coco_dataset.py │ │ ├── test_common.py │ │ ├── test_custom_dataset.py │ │ ├── test_dataset_wrapper.py │ │ ├── test_panoptic_dataset.py │ │ └── test_xml_dataset.py │ ├── test_pipelines │ │ ├── test_formatting.py │ │ ├── test_loading.py │ │ ├── test_sampler.py │ │ └── test_transform │ │ │ ├── __init__.py │ │ │ ├── test_img_augment.py │ │ │ ├── test_models_aug_test.py │ │ │ ├── test_rotate.py │ │ │ ├── test_shear.py │ │ │ ├── test_transform.py │ │ │ ├── test_translate.py │ │ │ └── utils.py │ └── test_utils.py ├── test_downstream │ └── test_mmtrack.py ├── test_metrics │ ├── test_box_overlap.py │ ├── test_losses.py │ ├── test_mean_ap.py │ └── test_recall.py ├── test_models │ ├── test_backbones │ │ ├── __init__.py │ │ ├── test_csp_darknet.py │ │ ├── test_detectors_resnet.py │ │ ├── test_hourglass.py │ │ ├── test_hrnet.py │ │ ├── test_mobilenet_v2.py │ │ ├── test_pvt.py │ │ ├── test_regnet.py │ │ ├── test_renext.py │ │ ├── test_res2net.py │ │ ├── test_resnest.py │ │ ├── test_resnet.py │ │ ├── test_swin.py │ │ ├── test_trident_resnet.py │ │ └── utils.py │ ├── test_dense_heads │ │ ├── test_anchor_head.py │ │ ├── test_atss_head.py │ │ ├── test_autoassign_head.py │ │ ├── test_centernet_head.py │ │ ├── test_corner_head.py │ │ ├── test_dense_heads_attr.py │ │ ├── test_detr_head.py │ │ ├── test_fcos_head.py │ │ ├── test_fsaf_head.py │ │ ├── test_ga_anchor_head.py │ │ ├── test_gfl_head.py │ │ ├── test_ld_head.py │ │ ├── test_paa_head.py │ │ ├── test_pisa_head.py │ │ ├── test_sabl_retina_head.py │ │ ├── test_solo_head.py │ │ ├── test_vfnet_head.py │ │ ├── test_yolact_head.py │ │ ├── test_yolof_head.py │ │ └── test_yolox_head.py │ ├── test_forward.py │ ├── test_loss.py │ ├── test_loss_compatibility.py │ ├── test_necks.py │ ├── test_plugins.py │ ├── test_roi_heads │ │ ├── __init__.py │ │ ├── test_bbox_head.py │ │ ├── test_mask_head.py │ │ ├── test_roi_extractor.py │ │ ├── test_sabl_bbox_head.py │ │ └── utils.py │ └── test_utils │ │ ├── test_brick_wrappers.py │ │ ├── test_conv_upsample.py │ │ ├── test_inverted_residual.py │ │ ├── test_model_misc.py │ │ ├── test_position_encoding.py │ │ ├── test_se_layer.py │ │ └── test_transformer.py ├── test_onnx │ ├── __init__.py │ ├── data │ │ ├── fsaf_head_get_bboxes.pkl │ │ ├── retina_head_get_bboxes.pkl │ │ ├── ssd_head_get_bboxes.pkl │ │ ├── yolov3_head_get_bboxes.pkl │ │ └── yolov3_neck.pkl │ ├── test_head.py │ ├── test_neck.py │ └── utils.py ├── test_runtime │ ├── async_benchmark.py │ ├── test_async.py │ ├── test_config.py │ ├── test_eval_hook.py │ └── test_fp16.py └── test_utils │ ├── test_anchor.py │ ├── test_assigner.py │ ├── test_coder.py │ ├── test_general_data.py │ ├── test_hook.py │ ├── test_masks.py │ ├── test_misc.py │ ├── test_nms.py │ ├── test_version.py │ └── test_visualization.py └── tools ├── analysis_tools ├── analyze_logs.py ├── analyze_results.py ├── benchmark.py ├── coco_error_analysis.py ├── eval_metric.py ├── get_flops.py ├── optimize_anchors.py ├── robustness_eval.py └── test_robustness.py ├── dataset_converters ├── cityscapes.py ├── images2coco.py └── pascal_voc.py ├── deployment ├── mmdet2torchserve.py ├── mmdet_handler.py ├── onnx2tensorrt.py ├── pytorch2onnx.py ├── test.py └── test_torchserver.py ├── dist_test.sh ├── dist_train.sh ├── misc ├── browse_dataset.py └── print_config.py ├── model_converters ├── detectron2pytorch.py ├── publish_model.py ├── regnet2mmdet.py ├── selfsup2mmdet.py ├── upgrade_model_version.py └── upgrade_ssd_version.py ├── slurm_test.sh ├── slurm_train.sh ├── test.py ├── train.py └── work_dirs ├── fcos_r101_caffe_fpn_gn-head_1x_coco ├── 20211014_135134.log ├── 20211014_135134.log.json ├── 20211014_153554.log ├── 20211014_153554.log.json ├── 20211014_153702.log ├── 20211014_153702.log.json ├── 20211014_153822.log ├── 20211014_153822.log.json ├── 20211014_154104.log ├── 20211014_154104.log.json ├── 20211014_160249.log ├── 20211014_160249.log.json ├── 20211014_160339.log ├── 20211014_160339.log.json ├── 20211014_160504.log ├── 20211014_160504.log.json ├── 20211014_160623.log ├── 20211014_160623.log.json ├── 20211014_160754.log ├── 20211014_160754.log.json ├── 20211014_160931.log ├── 20211014_160931.log.json ├── 20211014_161112.log ├── 20211014_161112.log.json ├── 20211014_161305.log ├── 20211014_161305.log.json ├── 20211014_161531.log ├── 20211014_161531.log.json ├── 20211014_161636.log ├── 20211014_161636.log.json ├── 20211014_161808.log ├── 20211014_161808.log.json ├── 20211014_161932.log ├── 20211014_161932.log.json ├── 20211014_162145.log ├── 20211014_162145.log.json ├── 20211014_162346.log ├── 20211014_162346.log.json ├── 20211014_192016.log ├── 20211014_192016.log.json ├── 20211014_192044.log ├── 20211014_192044.log.json ├── 20211014_192144.log ├── 20211014_192144.log.json ├── 20211014_192405.log ├── 20211014_192405.log.json ├── 20211014_192450.log ├── 20211014_192450.log.json ├── 20211014_192557.log ├── 20211014_192557.log.json ├── 20211014_192901.log ├── 20211014_192901.log.json ├── 20211014_192936.log ├── 20211014_192946.log ├── 20211014_192946.log.json ├── 20211014_193015.log ├── 20211014_193015.log.json ├── 20211014_193049.log ├── 20211014_193049.log.json ├── 20211014_193147.log ├── 20211014_193147.log.json ├── 20211014_193307.log ├── 20211014_193307.log.json ├── 20211014_193344.log ├── 20211014_193344.log.json ├── 20211014_193441.log ├── 20211014_193441.log.json ├── 20211014_211726.log ├── 20211014_211726.log.json └── fcos_r101_caffe_fpn_gn-head_1x_coco.py ├── fcos_r101_v1 ├── 20211014_141846.log ├── 20211014_141846.log.json ├── 20211014_142006.log ├── 20211014_142006.log.json ├── 20211014_142338.log ├── 20211014_142338.log.json ├── 20211014_142854.log ├── 20211014_142854.log.json ├── 20211014_143115.log ├── 20211014_143115.log.json ├── 20211014_144136.log ├── 20211014_144136.log.json ├── 20211014_144301.log ├── 20211014_144301.log.json ├── 20211014_144349.log ├── 20211014_144349.log.json ├── 20211014_144437.log ├── 20211014_144437.log.json ├── 20211014_144532.log ├── 20211014_144532.log.json ├── 20211014_144656.log ├── 20211014_144656.log.json ├── 20211014_144739.log ├── 20211014_144739.log.json ├── 20211014_144849.log ├── 20211014_144849.log.json ├── 20211014_145101.log ├── 20211014_145101.log.json ├── 20211014_145202.log ├── 20211014_145202.log.json ├── 20211014_150213.log ├── 20211014_150213.log.json ├── 20211014_152138.log ├── 20211014_152138.log.json ├── 20211014_152255.log ├── 20211014_152255.log.json ├── 20211014_152342.log ├── 20211014_152342.log.json ├── 20211014_152446.log ├── 20211014_152446.log.json ├── 20211014_152740.log ├── 20211014_152740.log.json ├── 20211014_152909.log ├── 20211014_152909.log.json ├── 20211014_153048.log ├── 20211014_153048.log.json ├── 20211014_153215.log ├── 20211014_153215.log.json ├── 20211014_154348.log ├── 20211014_154703.log ├── 20211014_154812.log ├── 20211014_154920.log ├── 20211014_155002.log ├── 20211014_155002.log.json ├── 20211014_155039.log ├── 20211014_155039.log.json ├── 20211014_155130.log ├── 20211014_155130.log.json ├── 20211014_155157.log ├── 20211014_155157.log.json ├── 20211014_155600.log ├── 20211014_155600.log.json ├── 20211014_162451.log ├── 20211014_162451.log.json ├── 20211014_162843.log ├── 20211014_162843.log.json ├── 20211014_163019.log ├── 20211014_163019.log.json ├── 20211014_165711.log ├── 20211014_165711.log.json ├── 20211014_165817.log ├── 20211014_165817.log.json ├── 20211014_165933.log ├── 20211014_170003.log ├── 20211014_170003.log.json ├── 20211014_170316.log ├── 20211014_170316.log.json ├── 20211014_170344.log ├── 20211014_170344.log.json ├── 20211014_170450.log ├── 20211014_170450.log.json ├── 20211014_170615.log ├── 20211014_170615.log.json ├── 20211014_171918.log ├── 20211014_172112.log ├── 20211014_172355.log ├── 20211014_172355.log.json ├── 20211014_172444.log ├── 20211014_172444.log.json ├── 20211014_172522.log ├── 20211014_172607.log ├── 20211014_173021.log ├── 20211014_173126.log ├── 20211014_173126.log.json ├── 20211014_173238.log ├── 20211014_173238.log.json ├── 20211014_173328.log ├── 20211014_173328.log.json ├── 20211014_174046.log ├── 20211014_174046.log.json ├── 20211014_174127.log ├── 20211014_174127.log.json ├── 20211014_174242.log ├── 20211014_174242.log.json ├── 20211014_174339.log ├── 20211014_174339.log.json ├── 20211014_190947.log ├── 20211014_190947.log.json ├── 20211014_191128.log ├── 20211014_191128.log.json ├── 20211014_191815.log ├── 20211014_191815.log.json ├── 20211014_191902.log ├── 20211014_191902.log.json ├── 20211014_212028.log ├── 20211014_212028.log.json ├── 20211016_150150.log ├── 20211016_150602.log ├── 20211016_150936.log ├── 20211016_151021.log ├── 20211016_151510.log ├── 20211016_152430.log ├── 20211016_152548.log ├── 20211016_152719.log ├── 20211016_153001.log ├── 20211016_153126.log ├── 20211016_153217.log ├── 20211016_153342.log ├── 20211016_153434.log ├── 20211016_153630.log ├── 20211016_153705.log ├── 20211016_154433.log ├── 20211016_154433.log.json ├── 20211016_154607.log ├── 20211016_154607.log.json ├── 20211016_154706.log ├── 20211016_154706.log.json ├── 20211016_160025.log ├── 20211016_160503.log ├── 20211016_160503.log.json ├── 20211016_160728.log ├── 20211016_160728.log.json ├── 20211016_160835.log ├── 20211016_160835.log.json ├── 20211016_163609.log ├── 20211016_163609.log.json ├── 20211016_163842.log ├── 20211016_163842.log.json ├── 20211016_164049.log ├── 20211016_164049.log.json ├── 20211016_164355.log ├── 20211016_164355.log.json ├── 20211016_164443.log ├── 20211016_164443.log.json ├── 20211016_164602.log ├── 20211016_164602.log.json └── fcos_r101_v1.py ├── fcos_r101_v10 ├── 20211017_150416.log ├── 20211017_150416.log.json ├── 20211017_151750.log ├── 20211017_151750.log.json ├── 20211017_154940.log ├── 20211017_154940.log.json ├── 20211017_155456.log ├── 20211017_155456.log.json ├── 20211017_160839.log ├── 20211017_160839.log.json ├── 20211017_160933.log ├── 20211017_160933.log.json ├── 20211017_161731.log ├── 20211017_161731.log.json ├── 20211017_162145.log ├── 20211017_162145.log.json └── fcos_r101_v10.py ├── fcos_r101_v12 ├── 20220403_202400.log ├── 20220403_202400.log.json ├── 20220403_202524.log ├── 20220403_202524.log.json ├── 20220403_202615.log ├── 20220403_202615.log.json └── fcos_r101_v12.py ├── fcos_r101_v15 ├── 20220404_102736.log ├── 20220404_102736.log.json ├── 20220404_142514.log ├── 20220404_142514.log.json ├── 20220404_142638.log ├── 20220404_142638.log.json ├── 20220404_143036.log ├── 20220404_143036.log.json ├── 20220404_143150.log ├── 20220404_143150.log.json ├── 20220404_143408.log ├── 20220404_143408.log.json ├── 20220404_143813.log ├── 20220404_143813.log.json ├── 20220404_144214.log ├── 20220404_144214.log.json ├── 20220404_144342.log ├── 20220404_144342.log.json └── fcos_r101_v15.py ├── fcos_r101_v60 ├── 20220411_105247.log ├── 20220411_105247.log.json ├── 20220411_105404.log ├── 20220411_105404.log.json ├── 20220411_110820.log ├── 20220411_110820.log.json ├── 20220411_111139.log ├── 20220411_111139.log.json ├── 20220411_111734.log ├── 20220411_111734.log.json ├── 20220411_112015.log ├── 20220411_112015.log.json ├── 20220411_113019.log ├── 20220411_113019.log.json ├── 20220411_113153.log ├── 20220411_113153.log.json └── fcos_r101_v60.py └── reppoints_r101_v1 ├── 20211014_153331.log ├── 20211014_153331.log.json ├── 20211014_191328.log ├── 20211014_191328.log.json ├── 20211014_191417.log ├── 20211014_191417.log.json ├── 20211014_191501.log ├── 20211014_191501.log.json ├── 20211014_191550.log ├── 20211014_191550.log.json └── reppoints_r101_v1.py /MANIFEST.in: -------------------------------------------------------------------------------- 1 | include requirements/*.txt 2 | include mmdet/VERSION 3 | include mmdet/.mim/model-index.yml 4 | include mmdet/.mim/demo/*/* 5 | recursive-include mmdet/.mim/configs *.py *.yml 6 | recursive-include mmdet/.mim/tools *.sh *.py 7 | -------------------------------------------------------------------------------- /configs/atss/atss_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './atss_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_mask_rcnn_r50_fpn_20e_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_mask_rcnn_r50_fpn_mstrain_3x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/cascade_mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/cascade_mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_20e.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../common/mstrain_3x_coco_instance.py', 3 | '../_base_/models/cascade_mask_rcnn_r50_fpn.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_rcnn_r101_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_rcnn_r50_fpn_20e_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/cascade_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_detection.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/cascade_rcnn/cascade_rcnn_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_rcnn_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 19]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=20) 5 | -------------------------------------------------------------------------------- /configs/centernet/centernet_resnet18_140e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './centernet_resnet18_dcnv2_140e_coco.py' 2 | 3 | model = dict(neck=dict(use_dcn=False)) 4 | -------------------------------------------------------------------------------- /configs/dcn/cascade_mask_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../cascade_rcnn/cascade_mask_rcnn_r101_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/cascade_mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/cascade_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../cascade_rcnn/cascade_rcnn_r101_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/cascade_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/faster_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r101_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/faster_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/faster_rcnn_r50_fpn_mdconv_c3-c5_group4_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCNv2', deform_groups=4, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/mask_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/dcn/mask_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /configs/deformable_detr/deformable_detr_refine_r50_16x2_50e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'deformable_detr_r50_16x2_50e_coco.py' 2 | model = dict(bbox_head=dict(with_box_refine=True)) 3 | -------------------------------------------------------------------------------- /configs/deformable_detr/deformable_detr_twostage_refine_r50_16x2_50e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'deformable_detr_refine_r50_16x2_50e_coco.py' 2 | model = dict(bbox_head=dict(as_two_stage=True)) 3 | -------------------------------------------------------------------------------- /configs/fast_rcnn/fast_rcnn_r101_caffe_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fast_rcnn_r50_caffe_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron2/resnet101_caffe'))) 8 | -------------------------------------------------------------------------------- /configs/fast_rcnn/fast_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fast_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/fast_rcnn/fast_rcnn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fast_rcnn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/fast_rcnn/fast_rcnn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fast_rcnn_r50_fpn_1x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[16, 22]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=24) 6 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r101_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'faster_rcnn_r50_fpn_mstrain_3x_coco.py' 2 | 3 | model = dict( 4 | backbone=dict( 5 | depth=101, 6 | init_cfg=dict(type='Pretrained', 7 | checkpoint='torchvision://resnet101'))) 8 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_caffe_dc5_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_caffe_dc5_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/faster_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_detection.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/faster_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_detection.py', 4 | '../_base_/schedules/schedule_2x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_bounded_iou_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | roi_head=dict( 4 | bbox_head=dict( 5 | reg_decoded_bbox=True, 6 | loss_bbox=dict(type='BoundedIoULoss', loss_weight=10.0)))) 7 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_ciou_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | roi_head=dict( 4 | bbox_head=dict( 5 | reg_decoded_bbox=True, 6 | loss_bbox=dict(type='CIoULoss', loss_weight=12.0)))) 7 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_giou_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | roi_head=dict( 4 | bbox_head=dict( 5 | reg_decoded_bbox=True, 6 | loss_bbox=dict(type='GIoULoss', loss_weight=10.0)))) 7 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | roi_head=dict( 4 | bbox_head=dict( 5 | reg_decoded_bbox=True, 6 | loss_bbox=dict(type='IoULoss', loss_weight=10.0)))) 7 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../common/mstrain_3x_coco.py', '../_base_/models/faster_rcnn_r50_fpn.py' 3 | ] 4 | -------------------------------------------------------------------------------- /configs/faster_rcnn/faster_rcnn_r50_fpn_ohem_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict(train_cfg=dict(rcnn=dict(sampler=dict(type='OHEMSampler')))) 3 | -------------------------------------------------------------------------------- /configs/fcos/fcos_center_r50_caffe_fpn_gn-head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcos_r50_caffe_fpn_gn-head_1x_coco.py' 2 | model = dict(bbox_head=dict(center_sampling=True, center_sample_radius=1.5)) 3 | -------------------------------------------------------------------------------- /configs/fcos/fcos_r101_caffe_fpn_gn-head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcos_r50_caffe_fpn_gn-head_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron/resnet101_caffe'))) 8 | -------------------------------------------------------------------------------- /configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py: -------------------------------------------------------------------------------- 1 | # TODO: Remove this config after benchmarking all related configs 2 | _base_ = 'fcos_r50_caffe_fpn_gn-head_1x_coco.py' 3 | 4 | data = dict(samples_per_gpu=4, workers_per_gpu=4) 5 | -------------------------------------------------------------------------------- /configs/foveabox/fovea_r101_fpn_4x4_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fovea_r50_fpn_4x4_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/foveabox/fovea_r101_fpn_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fovea_r50_fpn_4x4_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/foveabox/fovea_r50_fpn_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fovea_r50_fpn_4x4_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/fp16/faster_rcnn_r50_fpn_fp16_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /configs/fp16/mask_rcnn_r50_fpn_fp16_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /configs/fp16/retinanet_r50_fpn_fp16_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../retinanet/retinanet_r50_fpn_1x_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /configs/fpg/retinanet_r50_fpg-chn128_crop640_50e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'retinanet_r50_fpg_crop640_50e_coco.py' 2 | 3 | model = dict( 4 | neck=dict(out_channels=128, inter_channels=128), 5 | bbox_head=dict(in_channels=128)) 6 | -------------------------------------------------------------------------------- /configs/free_anchor/retinanet_free_anchor_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_free_anchor_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/fsaf/fsaf_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fsaf_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/gcnet/cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /configs/gcnet/cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../dcn/cascade_mask_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /configs/gcnet/mask_rcnn_r101_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /configs/gcnet/mask_rcnn_r50_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /configs/gcnet/mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_x101_32x4d_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /configs/ghm/retinanet_ghm_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_ghm_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/gn+ws/faster_rcnn_r101_fpn_gn_ws-all_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://jhu/resnet101_gn_ws'))) 7 | -------------------------------------------------------------------------------- /configs/gn+ws/mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/gn+ws/mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://jhu/resnet101_gn_ws'))) 7 | -------------------------------------------------------------------------------- /configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/gn+ws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/gn/mask_rcnn_r101_fpn_gn-all_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn-all_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron/resnet101_gn'))) 8 | -------------------------------------------------------------------------------- /configs/gn/mask_rcnn_r101_fpn_gn-all_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r101_fpn_gn-all_2x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[28, 34]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=36) 6 | -------------------------------------------------------------------------------- /configs/gn/mask_rcnn_r50_fpn_gn-all_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn-all_2x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[28, 34]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=36) 6 | -------------------------------------------------------------------------------- /configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[28, 34]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=36) 6 | -------------------------------------------------------------------------------- /configs/grid_rcnn/grid_rcnn_r101_fpn_gn-head_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './grid_rcnn_r50_fpn_gn-head_2x_coco.py' 2 | 3 | model = dict( 4 | backbone=dict( 5 | depth=101, 6 | init_cfg=dict(type='Pretrained', 7 | checkpoint='torchvision://resnet101'))) 8 | -------------------------------------------------------------------------------- /configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_hrnetv2p_w18_1x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[16, 22]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=24) 6 | -------------------------------------------------------------------------------- /configs/hrnet/faster_rcnn_hrnetv2p_w32_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_hrnetv2p_w32_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/hrnet/faster_rcnn_hrnetv2p_w40_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_hrnetv2p_w40_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/hrnet/fcos_hrnetv2p_w18_gn-head_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcos_hrnetv2p_w18_gn-head_4x4_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/hrnet/fcos_hrnetv2p_w32_gn-head_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcos_hrnetv2p_w32_gn-head_4x4_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/hrnet/htc_hrnetv2p_w40_28e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './htc_hrnetv2p_w40_20e_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[24, 27]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=28) 5 | -------------------------------------------------------------------------------- /configs/hrnet/htc_x101_64x4d_fpn_16x1_28e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../htc/htc_x101_64x4d_fpn_16x1_20e_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[24, 27]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=28) 5 | -------------------------------------------------------------------------------- /configs/hrnet/mask_rcnn_hrnetv2p_w18_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_hrnetv2p_w18_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/hrnet/mask_rcnn_hrnetv2p_w32_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_hrnetv2p_w32_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/hrnet/mask_rcnn_hrnetv2p_w40_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_hrnetv2p_w40_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/htc/htc_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './htc_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 19]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=20) 5 | -------------------------------------------------------------------------------- /configs/instaboost/mask_rcnn_r101_fpn_instaboost_4x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_instaboost_4x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/libra_rcnn/libra_faster_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './libra_faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_caffe_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron2/resnet101_caffe'))) 8 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_2x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /configs/mask_rcnn/mask_rcnn_r50_fpn_mstrain-poly_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../common/mstrain-poly_3x_coco_instance.py', 3 | '../_base_/models/mask_rcnn_r50_fpn.py' 4 | ] 5 | -------------------------------------------------------------------------------- /configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './ms_rcnn_r50_caffe_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron2/resnet101_caffe'))) 8 | -------------------------------------------------------------------------------- /configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './ms_rcnn_r101_caffe_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './ms_rcnn_r50_caffe_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './ms_rcnn_x101_64x4d_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/paa/paa_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/paa/paa_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r101_fpn_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /configs/paa/paa_r101_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_mstrain_3x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/paa/paa_r50_fpn_1.5x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_1x_coco.py' 2 | lr_config = dict(step=[12, 16]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=18) 4 | -------------------------------------------------------------------------------- /configs/paa/paa_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /configs/pafpn/faster_rcnn_r50_pafpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' 2 | 3 | model = dict( 4 | neck=dict( 5 | type='PAFPN', 6 | in_channels=[256, 512, 1024, 2048], 7 | out_channels=256, 8 | num_outs=5)) 9 | -------------------------------------------------------------------------------- /configs/panoptic_fpn/panoptic_fpn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './panoptic_fpn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/panoptic_fpn/panoptic_fpn_r101_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './panoptic_fpn_r50_fpn_mstrain_3x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/point_rend/point_rend_r50_caffe_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './point_rend_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /configs/pvt/retinanet_pvt-s_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'retinanet_pvt-t_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | num_layers=[3, 4, 6, 3], 5 | init_cfg=dict(checkpoint='https://github.com/whai362/PVT/' 6 | 'releases/download/v2/pvt_small.pth'))) 7 | -------------------------------------------------------------------------------- /configs/regnet/faster_rcnn_regnetx-3.2GF_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_regnetx-3.2GF_fpn_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | model = dict(bbox_head=dict(transform_method='minmax', use_grid_points=True)) 3 | -------------------------------------------------------------------------------- /configs/reppoints/reppoints.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QiuHeqian/mmdetection-ref/89b284099b4d31d896ff401a458578b1594fc46c/configs/reppoints/reppoints.png -------------------------------------------------------------------------------- /configs/reppoints/reppoints_minmax_r50_fpn_gn-neck+head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | model = dict(bbox_head=dict(transform_method='minmax')) 3 | -------------------------------------------------------------------------------- /configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_1x_coco.py' 2 | norm_cfg = dict(type='GN', num_groups=32, requires_grad=True) 3 | model = dict(neck=dict(norm_cfg=norm_cfg), bbox_head=dict(norm_cfg=norm_cfg)) 4 | optimizer = dict(lr=0.01) 5 | -------------------------------------------------------------------------------- /configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /configs/reppoints/reppoints_partial_minmax_r50_fpn_gn-neck+head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | model = dict(bbox_head=dict(transform_method='partial_minmax')) 3 | -------------------------------------------------------------------------------- /configs/retinanet/retinanet_r101_caffe_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_caffe_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron2/resnet101_caffe'))) 8 | -------------------------------------------------------------------------------- /configs/retinanet/retinanet_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/retinanet/retinanet_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/retinanet/retinanet_r50_caffe_fpn_mstrain_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/retinanet/retinanet_r50_caffe_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /configs/retinanet/retinanet_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /configs/retinanet/retinanet_r50_fpn_mstrain_640-800_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/retinanet_r50_fpn.py', '../common/mstrain_3x_coco.py' 3 | ] 4 | # optimizer 5 | optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) 6 | -------------------------------------------------------------------------------- /configs/rpn/rpn_r101_caffe_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_caffe_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron2/resnet101_caffe'))) 8 | -------------------------------------------------------------------------------- /configs/rpn/rpn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/rpn/rpn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/rpn/rpn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_fpn_1x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[16, 22]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=24) 6 | -------------------------------------------------------------------------------- /configs/scnet/scnet_r101_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './scnet_r50_fpn_20e_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/scnet/scnet_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './scnet_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 19]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=20) 5 | -------------------------------------------------------------------------------- /configs/scnet/scnet_x101_64x4d_fpn_8x1_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './scnet_x101_64x4d_fpn_20e_coco.py' 2 | data = dict(samples_per_gpu=1, workers_per_gpu=1) 3 | optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) 4 | -------------------------------------------------------------------------------- /configs/strong_baselines/mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py' 2 | fp16 = dict(loss_scale=512.) 3 | -------------------------------------------------------------------------------- /configs/strong_baselines/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py' 2 | # use FP16 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /configs/swin/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco.py' 2 | # you need to set mode='dynamic' if you are using pytorch<=1.5.0 3 | fp16 = dict(loss_scale=dict(init_scale=512)) 4 | -------------------------------------------------------------------------------- /configs/tridentnet/tridentnet_r50_caffe_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'tridentnet_r50_caffe_mstrain_1x_coco.py' 2 | 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /configs/vfnet/vfnet_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './vfnet_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/vfnet/vfnet_r101_fpn_mstrain_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './vfnet_r50_fpn_mstrain_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /configs/yolact/yolact_r101_1x8_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './yolact_r50_1x8_coco.py' 2 | 3 | model = dict( 4 | backbone=dict( 5 | depth=101, 6 | init_cfg=dict(type='Pretrained', 7 | checkpoint='torchvision://resnet101'))) 8 | -------------------------------------------------------------------------------- /configs/yolo/yolov3_d53_fp16_mstrain-608_273e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './yolov3_d53_mstrain-608_273e_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale='dynamic') 4 | -------------------------------------------------------------------------------- /demo/demo.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QiuHeqian/mmdetection-ref/89b284099b4d31d896ff401a458578b1594fc46c/demo/demo.jpg -------------------------------------------------------------------------------- /demo/demo.mp4: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QiuHeqian/mmdetection-ref/89b284099b4d31d896ff401a458578b1594fc46c/demo/demo.mp4 -------------------------------------------------------------------------------- /docker/serve/config.properties: -------------------------------------------------------------------------------- 1 | inference_address=http://0.0.0.0:8080 2 | management_address=http://0.0.0.0:8081 3 | metrics_address=http://0.0.0.0:8082 4 | model_store=/home/model-server/model-store 5 | load_models=all 6 | -------------------------------------------------------------------------------- /docker/serve/entrypoint.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | set -e 3 | 4 | if [[ "$1" = "serve" ]]; then 5 | shift 1 6 | torchserve --start --ts-config /home/model-server/config.properties 7 | else 8 | eval "$@" 9 | fi 10 | 11 | # prevent docker exit 12 | tail -f /dev/null 13 | -------------------------------------------------------------------------------- /docs/_static/css/readthedocs.css: -------------------------------------------------------------------------------- 1 | .header-logo { 2 | background-image: url("../image/mmdet-logo.png"); 3 | background-size: 156px 40px; 4 | height: 40px; 5 | width: 156px; 6 | } 7 | -------------------------------------------------------------------------------- /docs/_static/image/mmdet-logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QiuHeqian/mmdetection-ref/89b284099b4d31d896ff401a458578b1594fc46c/docs/_static/image/mmdet-logo.png -------------------------------------------------------------------------------- /docs/switch_language.md: -------------------------------------------------------------------------------- 1 | ## English 2 | 3 | ## 简体中文 4 | -------------------------------------------------------------------------------- /docs_zh-CN/_static/css/readthedocs.css: -------------------------------------------------------------------------------- 1 | .header-logo { 2 | background-image: url("../image/mmdet-logo.png"); 3 | background-size: 156px 40px; 4 | height: 40px; 5 | width: 156px; 6 | } 7 | -------------------------------------------------------------------------------- /docs_zh-CN/_static/image/mmdet-logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QiuHeqian/mmdetection-ref/89b284099b4d31d896ff401a458578b1594fc46c/docs_zh-CN/_static/image/mmdet-logo.png -------------------------------------------------------------------------------- /docs_zh-CN/robustness_benchmarking.md: -------------------------------------------------------------------------------- 1 | # 检测器鲁棒性检查 2 | -------------------------------------------------------------------------------- /docs_zh-CN/switch_language.md: -------------------------------------------------------------------------------- 1 | ## English 2 | 3 | ## 简体中文 4 | -------------------------------------------------------------------------------- /docs_zh-CN/tutorials/customize_models.md: -------------------------------------------------------------------------------- 1 | # 教程 4: 自定义模型 2 | -------------------------------------------------------------------------------- /docs_zh-CN/tutorials/customize_runtime.md: -------------------------------------------------------------------------------- 1 | # 教程 5: 自定义训练配置 2 | -------------------------------------------------------------------------------- /docs_zh-CN/tutorials/finetune.md: -------------------------------------------------------------------------------- 1 | # 教程 7: 模型微调 2 | -------------------------------------------------------------------------------- /docs_zh-CN/tutorials/index.rst: -------------------------------------------------------------------------------- 1 | .. toctree:: 2 | :maxdepth: 2 3 | 4 | config.md 5 | customize_dataset.md 6 | data_pipeline.md 7 | customize_models.md 8 | customize_runtime.md 9 | customize_losses.md 10 | finetune.md 11 | pytorch2onnx.md 12 | onnx2tensorrt.md 13 | -------------------------------------------------------------------------------- /docs_zh-CN/tutorials/onnx2tensorrt.md: -------------------------------------------------------------------------------- 1 | # 教程 9: ONNX 到 TensorRT 的模型转换（实验性支持） 2 | -------------------------------------------------------------------------------- /docs_zh-CN/tutorials/pytorch2onnx.md: -------------------------------------------------------------------------------- 1 | # 教程 8: Pytorch 到 ONNX 的模型转换（实验性支持） 2 | -------------------------------------------------------------------------------- /docs_zh-CN/useful_tools.md: -------------------------------------------------------------------------------- 1 | ## 日志分析 2 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/atss/atss_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './atss_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/cascade_mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/cascade_mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_20e.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../common/mstrain_3x_coco_instance.py', 3 | '../_base_/models/cascade_mask_rcnn_r50_fpn.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_rcnn_r101_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_rcnn_r50_fpn_20e_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/cascade_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_detection.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/cascade_rcnn/cascade_rcnn_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './cascade_rcnn_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 19]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=20) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/centernet/centernet_resnet18_140e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './centernet_resnet18_dcnv2_140e_coco.py' 2 | 3 | model = dict(neck=dict(use_dcn=False)) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/dcn/mask_rcnn_r101_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/dcn/mask_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/dcn/mask_rcnn_r50_fpn_mdconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), 5 | stage_with_dcn=(False, True, True, True))) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/deformable_detr/deformable_detr_refine_r50_16x2_50e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'deformable_detr_r50_16x2_50e_coco.py' 2 | model = dict(bbox_head=dict(with_box_refine=True)) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/deformable_detr/deformable_detr_twostage_refine_r50_16x2_50e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'deformable_detr_refine_r50_16x2_50e_coco.py' 2 | model = dict(bbox_head=dict(as_two_stage=True)) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fast_rcnn/fast_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fast_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fast_rcnn/fast_rcnn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fast_rcnn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fast_rcnn/fast_rcnn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fast_rcnn_r50_fpn_1x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[16, 22]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=24) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_caffe_dc5_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_caffe_dc5_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_caffe_fpn_mstrain_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/faster_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_detection.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/faster_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_detection.py', 4 | '../_base_/schedules/schedule_2x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_fpn_ciou_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | roi_head=dict( 4 | bbox_head=dict( 5 | reg_decoded_bbox=True, 6 | loss_bbox=dict(type='CIoULoss', loss_weight=12.0)))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_fpn_giou_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | roi_head=dict( 4 | bbox_head=dict( 5 | reg_decoded_bbox=True, 6 | loss_bbox=dict(type='GIoULoss', loss_weight=10.0)))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | roi_head=dict( 4 | bbox_head=dict( 5 | reg_decoded_bbox=True, 6 | loss_bbox=dict(type='IoULoss', loss_weight=10.0)))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../common/mstrain_3x_coco.py', '../_base_/models/faster_rcnn_r50_fpn.py' 3 | ] 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/faster_rcnn/faster_rcnn_r50_fpn_ohem_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict(train_cfg=dict(rcnn=dict(sampler=dict(type='OHEMSampler')))) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fcos/fcos_center_r50_caffe_fpn_gn-head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcos_r50_caffe_fpn_gn-head_1x_coco.py' 2 | model = dict(bbox_head=dict(center_sampling=True, center_sample_radius=1.5)) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fcos/fcos_r50_caffe_fpn_gn-head_4x4_1x_coco.py: -------------------------------------------------------------------------------- 1 | # TODO: Remove this config after benchmarking all related configs 2 | _base_ = 'fcos_r50_caffe_fpn_gn-head_1x_coco.py' 3 | 4 | data = dict(samples_per_gpu=4, workers_per_gpu=4) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/foveabox/fovea_r101_fpn_4x4_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fovea_r50_fpn_4x4_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/foveabox/fovea_r101_fpn_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fovea_r50_fpn_4x4_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/foveabox/fovea_r50_fpn_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fovea_r50_fpn_4x4_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fp16/faster_rcnn_r50_fpn_fp16_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fp16/mask_rcnn_r50_fpn_fp16_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fp16/retinanet_r50_fpn_fp16_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../retinanet/retinanet_r50_fpn_1x_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fpg/retinanet_r50_fpg-chn128_crop640_50e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'retinanet_r50_fpg_crop640_50e_coco.py' 2 | 3 | model = dict( 4 | neck=dict(out_channels=128, inter_channels=128), 5 | bbox_head=dict(in_channels=128)) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/fsaf/fsaf_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fsaf_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gcnet/cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gcnet/cascade_mask_rcnn_x101_32x4d_fpn_syncbn-backbone_dconv_c3-c5_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../dcn/cascade_mask_rcnn_x101_32x4d_fpn_dconv_c3-c5_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gcnet/mask_rcnn_r101_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gcnet/mask_rcnn_r50_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gcnet/mask_rcnn_x101_32x4d_fpn_syncbn-backbone_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../mask_rcnn/mask_rcnn_x101_32x4d_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False)) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/ghm/retinanet_ghm_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_ghm_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn+ws/mask_rcnn_r101_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn+ws/mask_rcnn_r101_fpn_gn_ws-all_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', checkpoint='open-mmlab://jhu/resnet101_gn_ws'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn+ws/mask_rcnn_r50_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_x101_32x4d_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn+ws/mask_rcnn_x50_32x4d_fpn_gn_ws-all_20_23_24e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[20, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn/mask_rcnn_r101_fpn_gn-all_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r101_fpn_gn-all_2x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[28, 34]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=36) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn/mask_rcnn_r50_fpn_gn-all_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn-all_2x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[28, 34]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=36) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[28, 34]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=36) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/faster_rcnn_hrnetv2p_w18_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_hrnetv2p_w18_1x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[16, 22]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=24) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/faster_rcnn_hrnetv2p_w32_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_hrnetv2p_w32_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/faster_rcnn_hrnetv2p_w40_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_hrnetv2p_w40_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/fcos_hrnetv2p_w18_gn-head_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcos_hrnetv2p_w18_gn-head_4x4_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/fcos_hrnetv2p_w32_gn-head_4x4_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './fcos_hrnetv2p_w32_gn-head_4x4_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/htc_hrnetv2p_w40_28e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './htc_hrnetv2p_w40_20e_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[24, 27]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=28) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/htc_x101_64x4d_fpn_16x1_28e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../htc/htc_x101_64x4d_fpn_16x1_20e_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[24, 27]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=28) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/mask_rcnn_hrnetv2p_w18_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_hrnetv2p_w18_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/mask_rcnn_hrnetv2p_w32_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_hrnetv2p_w32_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/hrnet/mask_rcnn_hrnetv2p_w40_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_hrnetv2p_w40_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/htc/htc_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './htc_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 19]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=20) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/libra_rcnn/libra_faster_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './libra_faster_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/mask_rcnn/mask_rcnn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_r50_caffe_fpn_mstrain-poly_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/mask_rcnn_r50_fpn.py', 3 | '../_base_/datasets/coco_instance.py', 4 | '../_base_/schedules/schedule_2x.py', '../_base_/default_runtime.py' 5 | ] 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/mask_rcnn/mask_rcnn_r50_fpn_mstrain-poly_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../common/mstrain-poly_3x_coco_instance.py', 3 | '../_base_/models/mask_rcnn_r50_fpn.py' 4 | ] 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './ms_rcnn_r101_caffe_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './ms_rcnn_r50_caffe_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './ms_rcnn_x101_64x4d_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/paa/paa_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/paa/paa_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r101_fpn_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/paa/paa_r101_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_mstrain_3x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/paa/paa_r50_fpn_1.5x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_1x_coco.py' 2 | lr_config = dict(step=[12, 16]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=18) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/paa/paa_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './paa_r50_fpn_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/pafpn/faster_rcnn_r50_pafpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' 2 | 3 | model = dict( 4 | neck=dict( 5 | type='PAFPN', 6 | in_channels=[256, 512, 1024, 2048], 7 | out_channels=256, 8 | num_outs=5)) 9 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/panoptic_fpn/panoptic_fpn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './panoptic_fpn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/point_rend/point_rend_r50_caffe_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './point_rend_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/regnet/faster_rcnn_regnetx-3.2GF_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './faster_rcnn_regnetx-3.2GF_fpn_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | model = dict(bbox_head=dict(transform_method='minmax', use_grid_points=True)) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/reppoints/reppoints.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QiuHeqian/mmdetection-ref/89b284099b4d31d896ff401a458578b1594fc46c/mmdet/.mim/configs/reppoints/reppoints.png -------------------------------------------------------------------------------- /mmdet/.mim/configs/reppoints/reppoints_minmax_r50_fpn_gn-neck+head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | model = dict(bbox_head=dict(transform_method='minmax')) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | lr_config = dict(step=[16, 22]) 3 | runner = dict(type='EpochBasedRunner', max_epochs=24) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/reppoints/reppoints_partial_minmax_r50_fpn_gn-neck+head_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py' 2 | model = dict(bbox_head=dict(transform_method='partial_minmax')) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/retinanet/retinanet_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/retinanet/retinanet_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/retinanet/retinanet_r50_caffe_fpn_mstrain_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 23]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/retinanet/retinanet_r50_caffe_fpn_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_caffe_fpn_mstrain_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/retinanet/retinanet_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './retinanet_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 22]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=24) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/retinanet/retinanet_r50_fpn_mstrain_640-800_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = [ 2 | '../_base_/models/retinanet_r50_fpn.py', '../common/mstrain_3x_coco.py' 3 | ] 4 | # optimizer 5 | optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/rpn/rpn_r101_caffe_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_caffe_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict( 6 | type='Pretrained', 7 | checkpoint='open-mmlab://detectron2/resnet101_caffe'))) 8 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/rpn/rpn_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/rpn/rpn_r101_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_fpn_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/rpn/rpn_r50_fpn_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './rpn_r50_fpn_1x_coco.py' 2 | 3 | # learning policy 4 | lr_config = dict(step=[16, 22]) 5 | runner = dict(type='EpochBasedRunner', max_epochs=24) 6 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/scnet/scnet_r101_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './scnet_r50_fpn_20e_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/scnet/scnet_r50_fpn_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './scnet_r50_fpn_1x_coco.py' 2 | # learning policy 3 | lr_config = dict(step=[16, 19]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=20) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/scnet/scnet_x101_64x4d_fpn_8x1_20e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './scnet_x101_64x4d_fpn_20e_coco.py' 2 | data = dict(samples_per_gpu=1, workers_per_gpu=1) 3 | optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/strong_baselines/mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'mask_rcnn_r50_caffe_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py' 2 | fp16 = dict(loss_scale=512.) 3 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/strong_baselines/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_fp16_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_lsj_100e_coco.py' 2 | # use FP16 3 | fp16 = dict(loss_scale=512.) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/swin/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco.py' 2 | # you need to set mode='dynamic' if you are using pytorch<=1.5.0 3 | fp16 = dict(loss_scale=dict(init_scale=512)) 4 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/tridentnet/tridentnet_r50_caffe_mstrain_3x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = 'tridentnet_r50_caffe_mstrain_1x_coco.py' 2 | 3 | lr_config = dict(step=[28, 34]) 4 | runner = dict(type='EpochBasedRunner', max_epochs=36) 5 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/vfnet/vfnet_r101_fpn_1x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './vfnet_r50_fpn_1x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/vfnet/vfnet_r101_fpn_mstrain_2x_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './vfnet_r50_fpn_mstrain_2x_coco.py' 2 | model = dict( 3 | backbone=dict( 4 | depth=101, 5 | init_cfg=dict(type='Pretrained', 6 | checkpoint='torchvision://resnet101'))) 7 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/yolact/yolact_r101_1x8_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './yolact_r50_1x8_coco.py' 2 | 3 | model = dict( 4 | backbone=dict( 5 | depth=101, 6 | init_cfg=dict(type='Pretrained', 7 | checkpoint='torchvision://resnet101'))) 8 | -------------------------------------------------------------------------------- /mmdet/.mim/configs/yolo/yolov3_d53_fp16_mstrain-608_273e_coco.py: -------------------------------------------------------------------------------- 1 | _base_ = './yolov3_d53_mstrain-608_273e_coco.py' 2 | # fp16 settings 3 | fp16 = dict(loss_scale='dynamic') 4 | -------------------------------------------------------------------------------- /mmdet/.mim/demo/demo.jpg: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | # These must be installed before building mmdetection 2 | cython 3 | numpy 4 | -------------------------------------------------------------------------------- /requirements/docs.txt: -------------------------------------------------------------------------------- 1 | docutils==0.16.0 2 | -e git+https://github.com/open-mmlab/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme 3 | recommonmark 4 | sphinx==4.0.2 5 | sphinx-copybutton 6 | sphinx_markdown_tables 7 | sphinx_rtd_theme==0.5.2 8 | -------------------------------------------------------------------------------- /requirements/mminstall.txt: -------------------------------------------------------------------------------- 1 | mmcv-full>=1.3.8 2 | -------------------------------------------------------------------------------- /requirements/optional.txt: -------------------------------------------------------------------------------- 1 | cityscapesscripts 2 | imagecorruptions 3 | scipy 4 | sklearn 5 | -------------------------------------------------------------------------------- /requirements/readthedocs.txt: -------------------------------------------------------------------------------- 1 | mmcv 2 | torch 3 | torchvision 4 | -------------------------------------------------------------------------------- /requirements/runtime.txt: -------------------------------------------------------------------------------- 1 | matplotlib 2 | numpy 3 | pycocotools; platform_system == "Linux" 4 | pycocotools-windows; platform_system == "Windows" 5 | six 6 | terminaltables 7 | -------------------------------------------------------------------------------- /resources/coco_test_12510.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QiuHeqian/mmdetection-ref/89b284099b4d31d896ff401a458578b1594fc46c/resources/coco_test_12510.jpg 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All rights reserved. 2 | from .utils import check_result_same, construct_toy_data, create_random_bboxes 3 | 4 | __all__ = ['create_random_bboxes', 'construct_toy_data', 'check_result_same'] 5 | -------------------------------------------------------------------------------- /tests/test_models/test_backbones/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. All rights reserved. 2 | from .utils import check_norm_state, is_block, is_norm 3 | 4 | __all__ = ['is_block', 'is_norm', 'check_norm_state'] 5 | -------------------------------------------------------------------------------- /tests/test_models/test_roi_heads/__init__.py: -------------------------------------------------------------------------------- 1 | # Copyright (c) OpenMMLab. 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