youwenjing

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Why mAP is so low? use yolov6 to train my data

我也是一样的结果 应该是val出了问题？

mAP 0 like YOLOX have same issue

一样的问题 并且迭代了100epoch之后map也很差

Training cannot be resumed after finalization (from last point)

by changing `--niter` and `--niter_decay` in train_options.py to increase the cycle index ` for epoch in range(start_epoch,opt.niter+opt.niter_decay+1) ` in train.py I can work well

why the accuracy of distilled student is lower than model of mmpretrain

I have same problem ,could you find the resolution?