v0.1.2（3/11/2022)

Highlights

1. Support YOLOv5/YOLOv6/YOLOX/RTMDet deployments for ONNXRuntime and TensorRT
2. Support YOLOv6 s/t/n model training
3. YOLOv5 supports P6 model training which can input 1280-scale images
4. YOLOv5 supports VOC dataset training
5. Support PPYOLOE and YOLOv7 model inference and official weight conversion
6. Add YOLOv5 replacement backbone tutorial in How-to documentation

New Features

1. Add optimize_anchors script (#175)
2. Add extract_subcoco script (#186)
3. Add yolo2coco conversion script (#161)
4. Add dataset_analysis script (#172)
5. Remove Albu version restrictions (#187)

Bug Fixes

1. Fix the problem that cfg.resume does not work when set (#221)
2. Fix the problem of not showing bbox in feature map visualization script (#204)
3. Update the metafile of RTMDet (#188)
4. Fix a visualization error in test_pipeline (#166)
5. Update badges (#140)

Improvements

1. Optimize Readthedoc display page (#209)
2. Add docstring for module structure diagram for base model (#196)
3. Support for not including any instance logic in LoadAnnotations (#161)
4. Update image_demo script to support folder and url paths (#128)
5. Update pre-commit hook (#129)

Documentation

1. Translate yolov5_description.md, yolov5_tutorial.md and visualization.md into English (#138, #198, #206)
2. Add deployment-related Chinese documentation (#220)
3. Update config.md, faq.md and pull_request_template.md (#190, #191, #200)
4. Update the article page (#133)

Contributors

A total of 14 developers contributed to this release.

Thank @imAzhou, @triple-Mu, @RangeKing, @PeterH0323, @xin-li-67, @Nioolek, @kitecats, @Bin-ze, @JiayuXu0, @cydiachen, @zhiqwang, @Zheng-LinXiao, @hhaAndroid, @wanghonglie