Fix 2 for 'Model predict with forward will fail if PIL image does not have filename attribute' #27025.0
@@ -258,7 +258,7 @@ class autoShape(nn.Module): | |||
if isinstance(im, str): # filename or uri | |||
im, f = np.asarray(Image.open(requests.get(im, stream=True).raw if im.startswith('http') else im)), im | |||
elif isinstance(im, Image.Image): # PIL Image | |||
im, f = np.asarray(im), getattr(im, 'filename', f) | |||
im, f = np.asarray(im), getattr(im, 'filename', f) or f | |||
files.append(Path(f).with_suffix('.jpg').name) | |||
if im.shape[0] < 5: # image in CHW | |||
im = im.transpose((1, 2, 0)) # reverse dataloader .transpose(2, 0, 1) |