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hukaixuan19970627 authored Feb 20, 2022
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# Updates
**[2022/1/7]**
1. Update yolov5 base version to [Releases v6.0](https://github.com/ultralytics/yolov5/releases/tag/v6.0).
2. Rebuild the obb-label pre/post-process code. That means Faster in training/validation/testing.
2. Rebuild the obb-label pre/post-process code. That means **Faster and Stronger** in training/validation/testing.

Model| Dataset | BatchSize | GPU | Time Cost |
---- | ----- | ------ | ----- | ------ |
yolov5m| DOTAv1.5_subsize1024_gap200_rate1.0|75 |3090Ti |15h |
Model| Training Dataset | BatchSize | epochs |GPU | Time Cost |OBB mAP<sup>test<br><sup>@0.5| fps |
---- | ----- | ------ | ----- | ----- | ----- | ----- | ----- |
yolov5m-old | DOTAv1.5train_subsize1024_gap200_rate1.0|75 |300 |3090Ti |96h |68.36 |20 |
**yolov5m-new**| DOTAv1.5train_subsize1024_gap200_rate1.0|75 |300 |3090Ti |**15h**|**73.19**|**59** |

3. Some Bugs Fixed.

|Bug | Fixed | Describe
|---- |------ | ------
|Don't support validation || Support hbb validation in training, which is faster than obb validation|
|Don't support single class training | ✔ | -
|Image must meets Height=Width | ✔ | -
|Don't support single class training || But it will get weaker results than **'nc=2'** |
|Image must meets Height=Width || - |

4. support obb_nms gpu version.

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