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use warnings

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This commit is contained in:
Xintao
2021-08-09 01:14:54 +08:00
parent 3c6cf5290e
commit 58fea8db69
1 changed files with 4 additions and 2 deletions
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6
inference_realesrgan.py
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@@ -54,9 +54,11 @@ def main():
img = cv2.imread(path, cv2.IMREAD_UNCHANGED)
h, w = img.shape[0:2]
if max(h, w) > 1000 and args.netscale == 4:
print('WARNING: The input image is large, try X2 model for better performace.')
import warnings
warnings.warn('The input image is large, try X2 model for better performace.')
if max(h, w) < 500 and args.netscale == 2:
print('WARNING: The input image is small, try X4 model for better performace.')
import warnings
warnings.warn('The input image is small, try X4 model for better performace.')
try:
output, img_mode = upsampler.enhance(img, outscale=args.outscale)