diff options
author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-11-27 08:18:45 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-11-27 08:22:28 -0800 |
commit | 26f43e6a8e1c234060096f21f1fd57d3cf57cfbc (patch) | |
tree | edec9deca64c16f227b1a9adc7a8fd8e19f93fa9 /tensorflow/contrib/image | |
parent | a7c11adad8fa445be1083467ceb76b2d7c98b005 (diff) |
Delete trailing whitespace in Python code
PiperOrigin-RevId: 177018504
Diffstat (limited to 'tensorflow/contrib/image')
-rwxr-xr-x | tensorflow/contrib/image/python/ops/single_image_random_dot_stereograms.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/contrib/image/python/ops/single_image_random_dot_stereograms.py b/tensorflow/contrib/image/python/ops/single_image_random_dot_stereograms.py index 5cccf26028..bb766e59d2 100755 --- a/tensorflow/contrib/image/python/ops/single_image_random_dot_stereograms.py +++ b/tensorflow/contrib/image/python/ops/single_image_random_dot_stereograms.py @@ -68,7 +68,7 @@ def single_image_random_dot_stereograms( ``` Args: - depth_values: A `Tensor`. Must be one of the following types: + depth_values: A `Tensor`. Must be one of the following types: `float64`, `float32`, `int64`, `int32`. Z values of data to encode into 'output_data_window' window, lower further away {0.0 floor(far), 1.0 ceiling(near) after norm}, must be 2-D tensor @@ -84,17 +84,17 @@ def single_image_random_dot_stereograms( mu: An optional `float`. Defaults to `0.3333`. Depth of field, Fraction of viewing distance (eg. 1/3 = 0.3333) normalize: An optional `bool`. Defaults to `True`. - Normalize input data to [0.0, 1.0] + Normalize input data to [0.0, 1.0] normalize_max: An optional `float`. Defaults to `-100`. Fix MAX value for Normalization (0.0) - if < MIN, autoscale normalize_min: An optional `float`. Defaults to `100`. Fix MIN value for Normalization (0.0) - if > MAX, autoscale border_level: An optional `float`. Defaults to `0`. - Value of bord in depth 0.0 {far} to 1.0 {near} + Value of bord in depth 0.0 {far} to 1.0 {near} number_colors: An optional `int`. Defaults to `256`. 2 (Black & White), 256 (grayscale), and Numbers > 256 (Full Color) are supported - output_image_shape: An optional `tf.TensorShape` or list of `ints`. + output_image_shape: An optional `tf.TensorShape` or list of `ints`. Defaults to shape `[1024, 768, 1]`. Defines output shape of returned image in '[X,Y, Channels]' 1-grayscale, 3 color; channels will be updated to 3 if number_colors > 256 |