yuanming-hu / exposure

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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Quantitative evaluation using histogram_intersection.py

thelittlekid opened this issue · comments

Hi @yuanming-hu ,
Thanks for sharing your codes. Could you please explain a little bit on how to obtain the quantitative evaluation results using histogram_intersection?
I tried to feed two directories as the input arguments and modified line 51 to the following:
patch = cv2.resize(new_image, dsize=(80, 80), interpolation=cv2.INTER_AREA),
but got an error at line 30 inside get_histograms(images). The error message was: TypeError: iteration over a 0-d array.
Thanks!

Thanks for the question. I will take a look sometime tonight.

Hi, I think it is fixed now in the latest update. It was caused by python and opencv upgrade.

It works now. Thanks!