Q-Future
Why do we need expand2sqaure in scorers?
Hello, thanks for your great works.
However, I find that the preprocess inside this looks weird.
The input image is first expanded to a square one, with extra mean-color margins by applying the expand2sqaure function.
I visualized a preprocessed image, which looks like this:
while the original image is:
My teammate also reports that larger aspect ratio results in lower aesthetic score. So we are wondering if this preprocess is correct.
In my survey, I found that no expandsqure can promote the capicity of whole model... u can only use preprocessing from CLIP_ImageProcessor, and this one can cause real improvement.
In my survey, I found that no expandsqure can promote the capicity of whole model... u can only use preprocessing from CLIP_ImageProcessor, and this one can cause real improvement.
hi, without expandsqure, do you directly resize to 224? I wonder whether directly resize would defect the original image.
In my survey, I found that no expandsqure can promote the capicity of whole model... u can only use preprocessing from CLIP_ImageProcessor, and this one can cause real improvement.
hi, without expandsqure, do you directly resize to 224? I wonder whether directly resize would defect the original image.
CLIPImageProcessor includes a CenterCrop and a resize, rather than directly resizing the image to a square shape.
In my sight, I concern the padding part may infect the image quality in some way.
