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update unittest of uint8 image creation in transforms #32790

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merged 2 commits into from
May 10, 2021
Merged

update unittest of uint8 image creation in transforms #32790

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bb0a33e
update unittest for uint8 problem
lyuwenyu May 7, 2021
6d8462e
Merge remote-tracking branch 'refs/remotes/upstream/develop' into fix…
lyuwenyu May 10, 2021
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50 changes: 27 additions & 23 deletions python/paddle/tests/test_transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -525,10 +525,10 @@ def test_errors(self):
image_load('tmp.jpg', backend=1)

def test_normalize(self):
np_img = (np.random.rand(28, 24, 3)).astype('uint8')
np_img = (np.random.rand(28, 24, 3) * 255).astype('uint8')
pil_img = Image.fromarray(np_img)
tensor_img = F.to_tensor(pil_img)
tensor_img_hwc = F.to_tensor(pil_img, data_format='HWC')
tensor_img_hwc = F.to_tensor(pil_img, data_format='HWC') * 255

mean = [0.5, 0.5, 0.5]
std = [0.5, 0.5, 0.5]
Expand All @@ -539,41 +539,43 @@ def test_normalize(self):

normalized_img_pil = F.normalize(pil_img, mean, std, data_format='HWC')
normalized_img_np = F.normalize(
np_img, mean, std, data_format='HWC', to_rgb=True)
np_img, mean, std, data_format='HWC', to_rgb=False)

np.testing.assert_almost_equal(
np.array(normalized_img_pil), normalized_img_np)
np.testing.assert_almost_equal(normalized_img_tensor.numpy(),
normalized_img_np)
np.testing.assert_almost_equal(
normalized_img_tensor.numpy(), normalized_img_np, decimal=4)

def test_center_crop(self):
np_img = (np.random.rand(28, 24, 3)).astype('uint8')
np_img = (np.random.rand(28, 24, 3) * 255).astype('uint8')
pil_img = Image.fromarray(np_img)
tensor_img = F.to_tensor(pil_img, data_format='CHW')
tensor_img = F.to_tensor(pil_img, data_format='CHW') * 255

np_cropped_img = F.center_crop(np_img, 4)
pil_cropped_img = F.center_crop(pil_img, 4)
tensor_cropped_img = F.center_crop(tensor_img, 4)

np.testing.assert_almost_equal(np_cropped_img,
np.array(pil_cropped_img))
np.testing.assert_almost_equal(np_cropped_img,
tensor_cropped_img.numpy().transpose(
(1, 2, 0)))
np.testing.assert_almost_equal(
np_cropped_img,
tensor_cropped_img.numpy().transpose((1, 2, 0)),
decimal=4)

def test_pad(self):
np_img = (np.random.rand(28, 24, 3)).astype('uint8')
np_img = (np.random.rand(28, 24, 3) * 255).astype('uint8')
pil_img = Image.fromarray(np_img)
tensor_img = F.to_tensor(pil_img, 'CHW')
tensor_img = F.to_tensor(pil_img, 'CHW') * 255

np_padded_img = F.pad(np_img, [1, 2], padding_mode='reflect')
pil_padded_img = F.pad(pil_img, [1, 2], padding_mode='reflect')
tensor_padded_img = F.pad(tensor_img, [1, 2], padding_mode='reflect')

np.testing.assert_almost_equal(np_padded_img, np.array(pil_padded_img))
np.testing.assert_almost_equal(np_padded_img,
tensor_padded_img.numpy().transpose(
(1, 2, 0)))
np.testing.assert_almost_equal(
np_padded_img,
tensor_padded_img.numpy().transpose((1, 2, 0)),
decimal=3)

tensor_padded_img = F.pad(tensor_img, 1, padding_mode='reflect')
tensor_padded_img = F.pad(tensor_img, [1, 2, 1, 2],
Expand All @@ -584,9 +586,9 @@ def test_pad(self):
pil_padded_img = F.pad(pil_p_img, [1, 2], padding_mode='reflect')

def test_resize(self):
np_img = (np.zeros([28, 24, 3])).astype('uint8')
np_img = (np.zeros([28, 24, 3]) * 255).astype('uint8')
pil_img = Image.fromarray(np_img)
tensor_img = F.to_tensor(pil_img, 'CHW')
tensor_img = F.to_tensor(pil_img, 'CHW') * 255

np_reseized_img = F.resize(np_img, 40)
pil_reseized_img = F.resize(pil_img, 40)
Expand All @@ -595,12 +597,14 @@ def test_resize(self):

np.testing.assert_almost_equal(np_reseized_img,
np.array(pil_reseized_img))
np.testing.assert_almost_equal(np_reseized_img,
tensor_reseized_img.numpy().transpose(
(1, 2, 0)))
np.testing.assert_almost_equal(np_reseized_img,
tensor_reseized_img2.numpy().transpose(
(1, 2, 0)))
np.testing.assert_almost_equal(
np_reseized_img,
tensor_reseized_img.numpy().transpose((1, 2, 0)),
decimal=3)
np.testing.assert_almost_equal(
np_reseized_img,
tensor_reseized_img2.numpy().transpose((1, 2, 0)),
decimal=3)

gray_img = (np.zeros([28, 32])).astype('uint8')
gray_resize_img = F.resize(gray_img, 40)
Expand Down