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to_pil - don't rescale if int and in range 0-255 (#22158)

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* Don't rescale if in and in range 0-255

* Raise value error if int values too large

* Update tests/test_image_transforms.py

* Update tests/test_image_transforms.py
This commit is contained in:
amyeroberts
2023-03-14 15:43:44 +00:00
committed by GitHub
parent 3b22bfbc6a
commit c6318c3788
2 changed files with 34 additions and 5 deletions
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23
tests/test_image_transforms.py
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@@ -101,6 +101,27 @@ class ImageTransformsTester(unittest.TestCase):
with self.assertRaises(ValueError):
to_pil_image(image)
@require_vision
def test_to_pil_image_from_mask(self):
# Make sure binary mask remains a binary mask
image = np.random.randint(0, 2, (3, 4, 5)).astype(np.uint8)
pil_image = to_pil_image(image)
self.assertIsInstance(pil_image, PIL.Image.Image)
self.assertEqual(pil_image.size, (5, 4))
np_img = np.asarray(pil_image)
self.assertTrue(np_img.min() == 0)
self.assertTrue(np_img.max() == 1)
image = np.random.randint(0, 2, (3, 4, 5)).astype(np.float32)
pil_image = to_pil_image(image)
self.assertIsInstance(pil_image, PIL.Image.Image)
self.assertEqual(pil_image.size, (5, 4))
np_img = np.asarray(pil_image)
self.assertTrue(np_img.min() == 0)
self.assertTrue(np_img.max() == 1)
@require_tf
def test_to_pil_image_from_tensorflow(self):
# channels_first
@@ -222,7 +243,7 @@ class ImageTransformsTester(unittest.TestCase):
self.assertIsInstance(resized_image, np.ndarray)
self.assertEqual(resized_image.shape, (30, 40, 3))
# Check PIL.Image.Image is return if return_numpy=False
# Check PIL.Image.Image is returned if return_numpy=False
resized_image = resize(image, (30, 40), return_numpy=False)
self.assertIsInstance(resized_image, PIL.Image.Image)
# PIL size is in (width, height) order