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Add support in transforms.ToTensor for PIL Images mod '1' #471

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Merged
merged 3 commits into from
Apr 16, 2018
Merged

Add support in transforms.ToTensor for PIL Images mod '1' #471

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c20f6b7
Add case in test_to_tensor for PIL Images mode '1'
arturml Apr 14, 2018
3a5bc4c
Add support in ToTensor for PIL Images mode '1'
arturml Apr 14, 2018
f070840
Fix pep8 issues
arturml Apr 16, 2018
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6 changes: 6 additions & 0 deletions test/test_transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -404,6 +404,12 @@ def test_to_tensor(self):
expected_output = ndarray.transpose((2, 0, 1))
assert np.allclose(output.numpy(), expected_output)

# separate test for mode '1' PIL images
input_data = torch.ByteTensor(1, height, width).bernoulli_()
img = transforms.ToPILImage()(input_data.mul(255)).convert('1')
output = trans(img)
assert np.allclose(input_data.numpy(), output.numpy())

@unittest.skipIf(accimage is None, 'accimage not available')
def test_accimage_to_tensor(self):
trans = transforms.ToTensor()
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4 changes: 3 additions & 1 deletion torchvision/transforms/functional.py
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Expand Up @@ -64,9 +64,11 @@ def to_tensor(pic):
img = torch.from_numpy(np.array(pic, np.int16, copy=False))
elif pic.mode == 'F':
img = torch.from_numpy(np.array(pic, np.float32, copy=False))
elif pic.mode == '1':
img = 255 * torch.from_numpy(np.array(pic, np.uint8, copy=False))
else:
img = torch.ByteTensor(torch.ByteStorage.from_buffer(pic.tobytes()))
# PIL image mode: 1, L, P, I, F, RGB, YCbCr, RGBA, CMYK
# PIL image mode: L, P, I, F, RGB, YCbCr, RGBA, CMYK
if pic.mode == 'YCbCr':
nchannel = 3
elif pic.mode == 'I;16':
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