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1.我在window和Linux上进行训练时,发现mrcnn的各种指标都为0。这是什么原因呢?是不是训练过程中什么变量不是true? mrcnn_class_loss: 0.00000 - mrcnn_bbox_loss: 0.00000 - mrcnn_mask_loss: 0.00000 - mrcnn_mask_edge_loss: 0.00000 2.我在Linux上进行训练[stage=beginning],epoch=1000结束后,使用其中的某个权重测试发现其IOU都为0[0,0,0,0,0,0],这是什么原因呢? 3.测试结束后,模型没有生成有效的分割信息。 希望得到您的解答与回复,十分感谢!
mrcnn_class_loss: 0.00000 - mrcnn_bbox_loss: 0.00000 - mrcnn_mask_loss: 0.00000 - mrcnn_mask_edge_loss: 0.00000
The text was updated successfully, but these errors were encountered:
有没有可能是因为你训练次数太少了,模型还没有检测出POSITIVE的能力,自然就不计入损失
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1.我在window和Linux上进行训练时,发现mrcnn的各种指标都为0。这是什么原因呢?是不是训练过程中什么变量不是true?
mrcnn_class_loss: 0.00000 - mrcnn_bbox_loss: 0.00000 - mrcnn_mask_loss: 0.00000 - mrcnn_mask_edge_loss: 0.00000
2.我在Linux上进行训练[stage=beginning],epoch=1000结束后,使用其中的某个权重测试发现其IOU都为0[0,0,0,0,0,0],这是什么原因呢?
3.测试结束后,模型没有生成有效的分割信息。
希望得到您的解答与回复,十分感谢!
The text was updated successfully, but these errors were encountered: