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fix: transpose batches for tf msssim

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jh 2021-03-12 08:26:14 -08:00
commit 0df0d6d5cb
1 changed files with 4 additions and 1 deletions
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5
core/leras/ops/__init__.py
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@ -325,7 +325,10 @@ def ms_ssim(img1, img2, resolution, kernel_size=11, k1=0.01, k2=0.03, max_value=
if sum(power_factors) < 1.0: if sum(power_factors) < 1.0:
power_factors = [x/sum(power_factors) for x in power_factors] power_factors = [x/sum(power_factors) for x in power_factors]
ms_ssim_val = tf.image.ssim_multiscale(img1, img2, max_val=max_value, power_factors=power_factors, # Transpose images from NCHW to NHWC
img1_t = tf.transpose(img1, [0, 2, 3, 1])
img2_t = tf.transpose(img2, [0, 2, 3, 1])
ms_ssim_val = tf.image.ssim_multiscale(img1_t, img2_t, max_val=max_value, power_factors=power_factors,
filter_size=kernel_size, k1=k1, k2=k2) filter_size=kernel_size, k1=k1, k2=k2)
loss = (1.0 - ms_ssim_val) / 2.0 loss = (1.0 - ms_ssim_val) / 2.0