ystsaan的博客Note: If during training you see nan values for avg (loss) field - then training goes wrong, but if nan is in some other lines - then training goes well. 作者原话,但我依然在avg loss为nan时训练了8100...
king of code porter的博客 # 伪代码示意v1的预测输出 output = S × S × (B*5 + C) # 7×7×30的张量 以上是YOLOv1版本的核心思想,本文接下来是围绕着之前的目标检测之YoloV5+旋转目标来聊聊v5在这上面有了哪些改动。 YOLOv5知识点基本概念...