我需要使用 Sewar 的 SSIM 作为损失函数来比较我的模型的图像。
当我尝试编译我的模型时出现错误。我导入函数并编译模型,如下所示:
from sewar.full_ref import ssim
...
model.compile('ssim', optimizer=my_optimizer, metrics=[ssim])
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我明白了:
File "/media/merry/merry32/train.py", line 19, in train
model.compile(loss='ssim', optimizer=opt, metrics=[ssim])
File "/home/merry/anaconda3/envs/merry_env/lib/python3.7/site-packages/keras/engine/training.py", line 451, in compile
handle_metrics(output_metrics)
File "/home/merry/anaconda3/envs/merry_env/lib/python3.7/site-packages/keras/engine/training.py", line 420, in handle_metrics
mask=masks[i])
File "/home/merry/anaconda3/envs/merry_env/lib/python3.7/site-packages/keras/engine/training_utils.py", line 404, in weighted
score_array = fn(y_true, y_pred)
File "/home/merry/anaconda3/envs/merry_env/lib/python3.7/site-packages/sewar/full_ref.py", line 143, in ssim
MAX = np.iinfo(GT.dtype).max
File "/home/merry/anaconda3/envs/merry_env/lib/python3.7/site-packages/numpy/core/getlimits.py", line 506, in __init__
raise ValueError("Invalid integer data type %r." % (self.kind,))
ValueError: Invalid integer data type 'O'.
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我也可以这样写:
model.compile(ssim(), optimizer=my_optimizer, …
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