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Merge pull request #347 from Gouvernathor/patch-1

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Simplifying some code

Former-commit-id: 68d59a94dae1c5eeeb79c689d0d7206e320fa0c9
This commit is contained in:
milesial 2022-03-31 21:40:17 +02:00 committed by GitHub
parent c1c7c952aa 7f800aff75
commit 182cbd48f9
1 changed files with 9 additions and 9 deletions
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18
utils/data_loading.py
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@ -25,26 +25,26 @@ class BasicDataset(Dataset):
def __len__(self):
return len(self.ids)
@classmethod
def preprocess(cls, pil_img, scale, is_mask):
@staticmethod
def preprocess(pil_img, scale, is_mask):
w, h = pil_img.size
newW, newH = int(scale * w), int(scale * h)
assert newW > 0 and newH > 0, 'Scale is too small, resized images would have no pixel'
pil_img = pil_img.resize((newW, newH), resample=Image.NEAREST if is_mask else Image.BICUBIC)
img_ndarray = np.asarray(pil_img)
if img_ndarray.ndim == 2 and not is_mask:
img_ndarray = img_ndarray[np.newaxis, ...]
elif not is_mask:
img_ndarray = img_ndarray.transpose((2, 0, 1))
if not is_mask:
if img_ndarray.ndim == 2:
img_ndarray = img_ndarray[np.newaxis, ...]
else:
img_ndarray = img_ndarray.transpose((2, 0, 1))
img_ndarray = img_ndarray / 255
return img_ndarray
@classmethod
def load(cls, filename):
@staticmethod
def load(filename):
ext = splitext(filename)[1]
if ext in ['.npz', '.npy']:
return Image.fromarray(np.load(filename))