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fix contrast() #108

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fix contrast() #108

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6ead488
fix contrast()
EIFY Jun 4, 2024
8939818
also fix archive ver.
EIFY Jun 6, 2024
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5 changes: 4 additions & 1 deletion big_vision/pp/archive/autoaugment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -202,6 +202,8 @@ def color(image, factor):

def contrast(image, factor):
"""Equivalent of PIL Contrast."""
image_height = tf.shape(image)[0]
image_width = tf.shape(image)[1]
degenerate = tf.image.rgb_to_grayscale(image)
# Cast before calling tf.histogram.
degenerate = tf.cast(degenerate, tf.int32)
Expand All @@ -210,7 +212,8 @@ 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
mean = tf.reduce_sum(
tf.cast(hist, tf.float32) * tf.linspace(0., 255., 256)) / float(image_height * image_width)
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))
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5 changes: 4 additions & 1 deletion big_vision/pp/autoaugment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -202,6 +202,8 @@ def color(image, factor):

def contrast(image, factor):
"""Equivalent of PIL Contrast."""
image_height = tf.shape(image)[0]
image_width = tf.shape(image)[1]
degenerate = tf.image.rgb_to_grayscale(image)
# Cast before calling tf.histogram.
degenerate = tf.cast(degenerate, tf.int32)
Expand All @@ -210,7 +212,8 @@ 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
mean = tf.reduce_sum(
tf.cast(hist, tf.float32) * tf.linspace(0., 255., 256)) / float(image_height * image_width)
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))
Expand Down