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feat: input files check (filter the unreadable files) #38

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feat: input files check (filter the unreadable files) #38

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47 changes: 25 additions & 22 deletions datasets/simple_extractor_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,28 +51,31 @@ def __getitem__(self, index):
img_name = self.file_list[index]
img_path = os.path.join(self.root, img_name)
img = cv2.imread(img_path, cv2.IMREAD_COLOR)
h, w, _ = img.shape
if np.any(img):
h, w, _ = img.shape

# Get person center and scale
person_center, s = self._box2cs([0, 0, w - 1, h - 1])
r = 0
trans = get_affine_transform(person_center, s, r, self.input_size)
input = cv2.warpAffine(
img,
trans,
(int(self.input_size[1]), int(self.input_size[0])),
flags=cv2.INTER_LINEAR,
borderMode=cv2.BORDER_CONSTANT,
borderValue=(0, 0, 0))
# Get person center and scale
person_center, s = self._box2cs([0, 0, w - 1, h - 1])
r = 0
trans = get_affine_transform(person_center, s, r, self.input_size)
input = cv2.warpAffine(
img,
trans,
(int(self.input_size[1]), int(self.input_size[0])),
flags=cv2.INTER_LINEAR,
borderMode=cv2.BORDER_CONSTANT,
borderValue=(0, 0, 0))

input = self.transform(input)
meta = {
'name': img_name,
'center': person_center,
'height': h,
'width': w,
'scale': s,
'rotation': r
}
input = self.transform(input)
meta = {
'name': img_name,
'center': person_center,
'height': h,
'width': w,
'scale': s,
'rotation': r
}

return input, meta
return 0

return input, meta
2 changes: 2 additions & 0 deletions simple_extractor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -126,6 +126,8 @@ def main():
palette = get_palette(num_classes)
with torch.no_grad():
for idx, batch in enumerate(tqdm(dataloader)):
if len(batch) == 1:
continue
image, meta = batch
img_name = meta['name'][0]
c = meta['center'].numpy()[0]
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