mmdetection-annotated
mmdetection源码注释
파일 탐색기
최종 버전 다운로드 (.zip)- 21.jpg
- seg_train.json
- train.json
- train.xml
- hooks
- utils
- checkpoint
- config
- io
- parallel
- __init__
- inference
- train
- datasets
- loader
- conv_block
- identity_block
- resnet-101(这个是maskrcnn-tf的，m2det只输出这里的C2-C5，而且两处block数目也不同)
- resnet-50.png
- 其中采用了右边这种，注意通道先压缩再扩充，减少参数，可以参考resnet-50结构图.png
- anchor_heads
- backbones
- bbox_heads
- builder
- losses
- necks
- utils
- registry
- inference.png
- maskrcnn-model-inference.png
- demo
- faster_rcnn_r50_fpn_1x.py
- mask_rcnn_r101_fpn_1x.py
- cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py
- cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py
- faster_rcnn_dconv_c3-c5_r50_fpn_1x.py
- faster_rcnn_dconv_c3-c5_x101_32x4d_fpn_1x.py
- faster_rcnn_dpool_r50_fpn_1x.py
- faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py
- faster_rcnn_mdpool_r50_fpn_1x.py
- mask_rcnn_dconv_c3-c5_r50_fpn_1x.py
- README.md
- faster_rcnn_r50_fpn_attention_0010_1x.py
- faster_rcnn_r50_fpn_attention_0010_dcn_1x.py
- faster_rcnn_r50_fpn_attention_1111_1x.py
- faster_rcnn_r50_fpn_attention_1111_dcn_1x.py
- README.md
- fcos_mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu.py
- fcos_mstrain_640_800_x101_64x4d_fpn_gn_2x.py
- fcos_r50_caffe_fpn_gn_1x_4gpu.py
- README.md
- faster_rcnn_r50_fpn_fp16_1x.py
- mask_rcnn_r50_fpn_fp16_1x.py
- retinanet_r50_fpn_fp16_1x.py
- mask_rcnn_r16_gcb_c3-c5_r50_fpn_1x.py
- mask_rcnn_r16_gcb_c3-c5_r50_fpn_syncbn_1x.py
- mask_rcnn_r4_gcb_c3-c5_r50_fpn_1x.py
- mask_rcnn_r4_gcb_c3-c5_r50_fpn_syncbn_1x.py
- mask_rcnn_r50_fpn_sbn_1x.py
- README.md
- README.md
- retinanet_ghm_r50_fpn_1x.py
- mask_rcnn_r101_fpn_gn_2x.py
- mask_rcnn_r50_fpn_gn_2x.py
- mask_rcnn_r50_fpn_gn_contrib_2x.py
- README.md
- faster_rcnn_r50_fpn_gn_ws_1x.py
- mask_rcnn_r50_fpn_gn_ws_20_23_24e.py
- mask_rcnn_r50_fpn_gn_ws_2x.py
- mask_rcnn_x101_32x4d_fpn_gn_ws_2x.py
- README.md
- grid_rcnn_gn_head_r50_fpn_2x.py
- grid_rcnn_gn_head_x101_32x4d_fpn_2x.py
- README.md
- ga_fast_r50_caffe_fpn_1x.py
- ga_faster_r50_caffe_fpn_1x.py
- ga_faster_x101_32x4d_fpn_1x.py
- ga_retinanet_r50_caffe_fpn_1x.py
- ga_retinanet_x101_32x4d_fpn_1x.py
- ga_rpn_r101_caffe_rpn_1x.py
- ga_rpn_r50_caffe_fpn_1x.py
- ga_rpn_x101_32x4d_fpn_1x.py
- README.md
- cascade_rcnn_hrnetv2p_w32_20e.py
- faster_rcnn_hrnetv2p_w18_1x.py
- faster_rcnn_hrnetv2p_w32_1x.py
- faster_rcnn_hrnetv2p_w40_1x.py
- mask_rcnn_hrnetv2p_w18_1x.py
- mask_rcnn_hrnetv2p_w32_1x.py
- README.md
- htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e.py
- htc_r101_fpn_20e.py
- htc_r50_fpn_1x.py
- htc_r50_fpn_20e.py
- htc_without_semantic_r50_fpn_1x.py
- htc_x101_32x4d_fpn_20e_16gpu.py
- htc_x101_64x4d_fpn_20e_16gpu.py
- README.md
- libra_fast_rcnn_r50_fpn_1x.py
- libra_faster_rcnn_r101_fpn_1x.py
- libra_faster_rcnn_r50_fpn_1x.py
- libra_faster_rcnn_x101_64x4d_fpn_1x.py
- libra_retinanet_r50_fpn_1x.py
- README.md
- ms_rcnn_r101_caffe_fpn_1x.py
- ms_rcnn_r50_caffe_fpn_1x.py
- ms_rcnn_x101_64x4d_fpn_1x.py
- README.md
- faster_rcnn_r50_fpn_1x_voc0712.py
- ssd300_voc.py
- ssd512_voc.py
- README.md
- scratch_faster_rcnn_r50_fpn_gn_6x.py
- scratch_mask_rcnn_r50_fpn_gn_6x.py
- README.md
- ssd300_wider_face.py
- cascade_mask_rcnn_r101_fpn_1x.py
- cascade_mask_rcnn_r50_caffe_c4_1x.py
- cascade_mask_rcnn_r50_fpn_1x.py
- cascade_mask_rcnn_x101_32x4d_fpn_1x.py
- cascade_mask_rcnn_x101_64x4d_fpn_1x.py
- cascade_rcnn_r101_fpn_1x.py
- cascade_rcnn_r50_caffe_c4_1x.py
- cascade_rcnn_r50_fpn_1x.py
- cascade_rcnn_x101_32x4d_fpn_1x.py
- cascade_rcnn_x101_64x4d_fpn_1x.py
- fast_mask_rcnn_r101_fpn_1x.py
- fast_mask_rcnn_r50_caffe_c4_1x.py
- fast_mask_rcnn_r50_fpn_1x.py
- fast_rcnn_r101_fpn_1x.py
- fast_rcnn_r50_caffe_c4_1x.py
- fast_rcnn_r50_fpn_1x.py
- faster_rcnn_ohem_r50_fpn_1x.py
- faster_rcnn_r101_fpn_1x.py
- faster_rcnn_r50_caffe_c4_1x.py
- faster_rcnn_r50_fpn_1x.py
- faster_rcnn_x101_32x4d_fpn_1x.py
- faster_rcnn_x101_64x4d_fpn_1x.py
- mask_r101_(test).py
- mask_rcnn_r101_fpn_1x.py
- mask_rcnn_r50_caffe_c4_1x.py
- mask_rcnn_r50_fpn_1x.py
- mask_rcnn_x101_32x4d_fpn_1x.py
- mask_rcnn_x101_64x4d_fpn_1x.py
- retinanet_r101_fpn_1x.py
- retinanet_r50_fpn_1x.py
- retinanet_x101_32x4d_fpn_1x.py
- retinanet_x101_64x4d_fpn_1x.py
- rpn_r101_fpn_1x.py
- rpn_r50_caffe_c4_1x.py
- rpn_r50_fpn_1x.py
- rpn_x101_32x4d_fpn_1x.py
- rpn_x101_64x4d_fpn_1x.py
- ssd300_coco.py
- ssd512_coco.py
- __init__.py
- env.py
- inference.py
- train.py
- __init__.py
- anchor_generator.py
- anchor_target.py
- guided_anchor_target.py
- __init__.cpython-37.pyc
- approx_max_iou_assigner.cpython-37.pyc
- assign_result.cpython-37.pyc
- base_assigner.cpython-37.pyc
- max_iou_assigner.cpython-37.pyc
- __init__.py
- approx_max_iou_assigner.py
- assign_result.py
- base_assigner.py
- max_iou_assigner.py
- __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
- __init__.py
- base_sampler.py
- combined_sampler.py
- instance_balanced_pos_sampler.py
- iou_balanced_neg_sampler.py
- ohem_sampler.py
- pseudo_sampler.py
- random_sampler.py
- sampling_result.py
- __init__.py
- assign_sampling.py
- bbox_target.py
- geometry.py
- transforms.py
- __init__.py
- bbox_overlaps.py
- class_names.py
- coco_utils.py
- eval_hooks.py
- mean_ap.py
- recall.py
- __init__.py
- decorators.py
- hooks.py
- utils.py
- __init__.py
- mask_target.py
- utils.py
- __init__.py
- bbox_nms.py
- merge_augs.py
- __init__.py
- dist_utils.py
- misc.py
- __init__.py
- __init__.cpython-37.pyc
- build_loader.cpython-37.pyc
- sampler.cpython-37.pyc
- __init__.py
- build_loader.py
- sampler.py
- __init__.py
- builder.py
- coco.py
- custom.py
- dataset_wrappers.py
- extra_aug.py
- my_dataset.py
- registry.py
- transforms.py
- utils.py
- voc.py
- wider_face.py
- xml_style.py
- __init__.py
- anchor_head.py
- fcos_head.py
- ga_retina_head.py
- ga_rpn_head.py
- guided_anchor_head.py
- retina_head.py
- rpn_head.py
- ssd_head.py
- __init__.py
- hrnet.py
- resnet.py
- resnext.py
- ssd_vgg.py
- __init__.py
- bbox_head.py
- convfc_bbox_head.py
- __init__.py
- base.py
- cascade_rcnn.py
- fast_rcnn.py
- faster_rcnn.py
- fcos.py
- grid_rcnn.py
- htc.py
- mask_rcnn.py
- mask_scoring_rcnn.py
- retinanet.py
- rpn.py
- single_stage.py
- test_mixins.py
- two_stage.py
- __init__.py
- accuracy.py
- balanced_l1_loss.py
- cross_entropy_loss.py
- focal_loss.py
- ghm_loss.py
- iou_loss.py
- mse_loss.py
- smooth_l1_loss.py
- utils.py
- __init__.py
- fcn_mask_head.py
- fused_semantic_head.py
- grid_head.py
- htc_mask_head.py
- maskiou_head.py
- __init__.py
- bfp.py
- fpn.py
- hrfpn.py
- __init__.py
- generalized_attention.py
- non_local.py
- __init__.py
- single_level.py
- __init__.py
- res_layer.py
- __init__.py
- conv_module.py
- conv_ws.py
- norm.py
- scale.py
- weight_init.py
- __init__.py
- builder.py
- registry.py
- __init__.py
- registry.py
- __init__.py
- version.py
- _s1019.png
- _screenshot_02.04.2019.png
- _screenshot_071019.png
- pascal_voc.py
- analyze_logs.py
- coco_eval.py
- detectron2pytorch.py
- dist_test.sh
- dist_train.sh
- publish_model.py
- slurm_test.sh
- slurm_train.sh
- test.py
- train.py
- upgrade_model_version.py
- voc_eval.py
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- demo.py
- GETTING_STARTED.md
- hook.py
- INSTALL.md
- LICENSE
- mmdetection记录.md
- MODEL_ZOO.md
- README.md
- setup.py
- TECHNICAL_DETAILS.md
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/ming71/mmdetection-annotated
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd mmdetection-annotated
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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