【飞桨黑客松 Hackathon + No.153】Yolov6 v3.0 论文复现 #114
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修改了task_aligned_assigner，优化器，权重初始化部分，目前训练20epoch结果： |
nemonameless
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更新了EffiDeHead_fuseab代码 |
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修改后训练20epoch的结果，map一段时间下降还没解决： |
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目前训练23个epoch的结果，需要全量训练： |
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训练300epoch的结果为map 36.2,torch版本yolov6版本精度为map36.9,相差0.7；当使用预热损失的时候，精度会有提高 |
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使用PaddlePaddle2.4复现了Yolov6n模型的完整训练精度，coco数据集36.2和原作者相差0.7 |
Yang-Changhui
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目前修复了一些训练时的函数的错误调用，已经可以进行训练，
通过比对训练日志，发现loss有些不同，目前还在寻找原因
配置文件运行：/configs/yolov6/yolov6_s_300e_coco.yml
训练3epoch的结果：