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author | Campbell Barton <ideasman42@gmail.com> | 2021-07-06 05:05:27 +0300 |
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committer | Campbell Barton <ideasman42@gmail.com> | 2021-07-06 05:05:27 +0300 |
commit | 432bfbf7a3b74943b1c251c12bd76616da23991f (patch) | |
tree | 4fff10c2aaca9d48ac4ccc1b368124ce102a53a1 /release/scripts/templates_py/image_processing.py | |
parent | 36584bbc2d347cc1df9fd77b59ff1a3d3d7fef53 (diff) |
Cleanup: pep8
Diffstat (limited to 'release/scripts/templates_py/image_processing.py')
-rw-r--r-- | release/scripts/templates_py/image_processing.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/release/scripts/templates_py/image_processing.py b/release/scripts/templates_py/image_processing.py index 2392faf440c..ab14436ad8e 100644 --- a/release/scripts/templates_py/image_processing.py +++ b/release/scripts/templates_py/image_processing.py @@ -20,9 +20,9 @@ input_image.pixels.foreach_get(pixel_data.ravel()) # Do whatever image processing you want using numpy here: # Example 1: Inverse red green and blue channels. -pixel_data[:,:,:3] = 1.0 - pixel_data[:,:,:3] +pixel_data[:, :, :3] = 1.0 - pixel_data[:, :, :3] # Example 2: Change gamma on the red channel. -pixel_data[:,:,0] = np.power(pixel_data[:,:,0], 1.5) +pixel_data[:, :, 0] = np.power(pixel_data[:, :, 0], 1.5) # Create output image. if output_image_name in bpy.data.images: |