Comments (5)
Please provide more information, such as which dataset for testing and which version of MegEngine. In my case, this test script worked well and the result was 39.765.
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thanks for your answer.my MegEngine is 1.5 and the test data is the val set of sidd.
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After installing MegEngine=1.5, your results still cannot be reproduced. Please check whether the image pair to be calculated is correct, and check whether nan appears in each image pair or only a few pairs.
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At first,I meet the error in this script dataset.py ,"no module named nori2",so I just delete this row of the original code because nori2 cannot be installed by pip. May be this reason?
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Thanks for pointing out this error, I have deleted these external packages. But I don't think this is the reason why the output is nan and please clone this project again and test again. I provide my numerical packages for reference:
MegEnginee == 1.5.0
numpy. == 1.19.5
opencv-python == 4.5.3.56
scikit-image == 0.17.2
scipy == 1.5.4
six == 1.16.0
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