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I have used your script and converted gfpgan pth model into onnx model but I am getting horrible results. Like output image is same as input image (in terms of dimensions/size) and the output gets worst after inference. In short, it is not doing super resolution on the image and also making current input image bad.
@xuanandsix So, what could be the possible reason behind this problem ? ( Btw, I have done all the steps properly that you have mentioned in the readme file.)
Input Image:
Output Image:
The text was updated successfully, but these errors were encountered:
I have used your script and converted gfpgan pth model into onnx model but I am getting horrible results. Like output image is same as input image (in terms of dimensions/size) and the output gets worst after inference. In short, it is not doing super resolution on the image and also making current input image bad.
@xuanandsix So, what could be the possible reason behind this problem ? ( Btw, I have done all the steps properly that you have mentioned in the readme file.)
Input Image:
Output Image:
The text was updated successfully, but these errors were encountered: