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您好,我将程序clone到了本地,没有用训练好的weight.h5和model.h5,将load_pretrained改为false之后,学习率改为0.001,迭代次数为50次,最后得到的权重来重新运行run.py,但结果确实绝大多数图片没有检测框,出现的几个位置也很明显不对。我看了我最后的loss和val_loss,均为3左右。请问为什么会出现这种结果呢,数据集和class、anchor这些均没有变过。 同时我用您训练好的确实是有很好的检测结果的,所以想请教具体的训练参数是什么呢。
The text was updated successfully, but these errors were encountered:
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您好,我将程序clone到了本地,没有用训练好的weight.h5和model.h5,将load_pretrained改为false之后,学习率改为0.001,迭代次数为50次,最后得到的权重来重新运行run.py,但结果确实绝大多数图片没有检测框,出现的几个位置也很明显不对。我看了我最后的loss和val_loss,均为3左右。请问为什么会出现这种结果呢,数据集和class、anchor这些均没有变过。
同时我用您训练好的确实是有很好的检测结果的,所以想请教具体的训练参数是什么呢。
The text was updated successfully, but these errors were encountered: