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🚨 Update image_processing_vitmatte.py (#30566)

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* Update image_processing_vitmatte.py

* add test

* [run-slow]vitmatte
This commit is contained in:
Richard Brown
2024-05-02 12:00:07 +02:00
committed by GitHub
parent 12c5544dca
commit f95302584b
2 changed files with 7 additions and 3 deletions
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6
src/transformers/models/vitmatte/image_processing_vitmatte.py
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@@ -133,9 +133,9 @@ class VitMatteImageProcessor(BaseImageProcessor):
height, width = get_image_size(image, input_data_format) height, width = get_image_size(image, input_data_format)
if height % size_divisibility != 0 or width % size_divisibility != 0: pad_height = 0 if height % size_divisibility == 0 else size_divisibility - height % size_divisibility
pad_height = size_divisibility - height % size_divisibility pad_width = 0 if width % size_divisibility == 0 else size_divisibility - width % size_divisibility
pad_width = size_divisibility - width % size_divisibility if pad_width + pad_height > 0:
padding = ((0, pad_height), (0, pad_width)) padding = ((0, pad_height), (0, pad_width))
image = pad(image, padding=padding, data_format=data_format, input_data_format=input_data_format) image = pad(image, padding=padding, data_format=data_format, input_data_format=input_data_format)

4
tests/models/vitmatte/test_image_processing_vitmatte.py
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@@ -192,3 +192,7 @@ class VitMatteImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
image = np.random.randn(3, 249, 491) image = np.random.randn(3, 249, 491)
images = image_processing.pad_image(image) images = image_processing.pad_image(image)
assert images.shape == (3, 256, 512) assert images.shape == (3, 256, 512)
image = np.random.randn(3, 249, 512)
images = image_processing.pad_image(image)
assert images.shape == (3, 256, 512)