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1 parent 450d4e3 commit 1bfaf8dCopy full SHA for 1bfaf8d
ml4h/models/diffusion_blocks.py
@@ -781,7 +781,9 @@ def metrics(self):
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def denormalize(self, images):
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# convert the pixel values back to 0-1 range
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# images = images - tf.math.reduce_mean(images) + images * tf.math.reduce_std(images)
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- images = self.normalizer.mean + images * self.normalizer.variance ** 0.5
+ std = tf.sqrt(self.normalizer.variance)
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+ images = images * std + self.normalizer.mean
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+ #images = self.normalizer.mean + images * self.normalizer.variance ** 0.5
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# print(f'images max min {images}')
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return images # tf.clip_by_value(images, 0.0, 1.0)
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