Comments (2)
pengzi2017
commented on June 16, 2024
程序中将CELL_SIZE由7变为14后，根本就没有任何关于7的定义或别的内容，定义的现状也是(14,14,5+len(classes))，但是程序运行后就会出现(7,7,5+len(classes))的现状，感觉很诡异。
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XiangqianMa
commented on June 16, 2024
I think the output cell size is decided by the size of input image and the stride of network，not only the cell size in config. py.
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Related Issues (20)
- Approach for detecting nothing HOT 2
- pascal_voc.py line 69 in prepare
- Custom data training error HOT 4
- problem about yolo weights HOT 1
- Train loss not decrease HOT 2
- Non-Maximum Suppression HOT 1
- Communicate in Chinese！中文交流！ HOT 11
- Can not detect object after training your network ? HOT 8
- Bounding Box Values Extraction
- InvalidArgumentError (see above for traceback): LossTensor is inf or nan : Tensor had NaN values [[Node: train_op/CheckNumerics = CheckNumerics[T=DT_FLOAT, message="LossTensor is inf or nan", _device="/job:localhost/replica:0/task:0/device:CPU:0"](total_loss)]] HOT 2
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- How do i fix this?
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- I detect nothing when using my own dataset to train. HOT 7
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