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Fix #825 #826

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Fix #825 #826

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5 changes: 3 additions & 2 deletions models/official/efficientnet/autoaugment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -206,9 +206,10 @@ def contrast(image, factor):
# and create a constant image size of that value. Use that as the
# blending degenerate target of the original image.
hist = tf.histogram_fixed_width(degenerate, [0, 255], nbins=256)
mean = tf.reduce_sum(tf.cast(hist, tf.float32)) / 256.0
hist = tf.cast(hist, tf.float32)
mean = tf.reduce_sum(tf.cast(degenerate, tf.float32)) / tf.reduce_sum(hist)
mean = tf.clip_by_value(mean, 0.0, 255.0)
degenerate = tf.ones_like(degenerate, dtype=tf.float32) * mean
degenerate = tf.clip_by_value(degenerate, 0.0, 255.0)
degenerate = tf.image.grayscale_to_rgb(tf.cast(degenerate, tf.uint8))
return blend(degenerate, image, factor)

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