You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi there, thank you for publishing such a great work. May I ask what is the resolution for CLIP-IQA? The resolution I found in coopclipiqa.py file is 224x224, but the resize transformation in config files are all commented out. So does this mean that there are some code for image resizing somewhere else or the image resolution is kept the same? The resolution are also not included in the paper as well.
The text was updated successfully, but these errors were encountered:
Well this part still does not clarify which type of image transformation being used in the code and only mentioned the train and test splitting. Are you suggesting that the data transformation methods are also the same as the paper being mentioned?
Well this part still does not clarify which type of image transformation being used in the code and only mentioned the train and test splitting. Are you suggesting that the data transformation methods are also the same as the paper being mentioned?
Because no additional image transformation is used unless clarified. clip-iqa does not rely on fixed resolution.
Hi there, thank you for publishing such a great work. May I ask what is the resolution for CLIP-IQA? The resolution I found in coopclipiqa.py file is 224x224, but the resize transformation in config files are all commented out. So does this mean that there are some code for image resizing somewhere else or the image resolution is kept the same? The resolution are also not included in the paper as well.
The text was updated successfully, but these errors were encountered: