Comments (5)
nikooc2s
commented on May 28, 2024
Hey at line 37 we are doing the sqrt. The last mean you see is the mean for all bands.
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nikooc2s
commented on May 28, 2024
@chrieke can you close this? Unfortunately, I can't ....
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Safiullahmarwat
commented on May 28, 2024
I think RMSE is wrong. i is not used inside the for loop, which means that same operations are performed thrice. if you print(s) inside the for loop, the results is same for each channel.
I further checked with the RMSE equation np.sqrt(((img1- img2) ** 2).mean()) and sklearn.metrics.mean_squared_error and found that these results are different than rmse of this package.
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nekhtiari
commented on May 28, 2024
Oh that is true, since here we still had the i in the calculation. Not sure what removed it. Will make a PR. Thanks for the catch.
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chrieke
commented on May 28, 2024
Fixed in #37
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Related Issues (20)
- install error HOT 2
- Results are significantly different compared to ffmpeg implementation of SSIM and PSNR HOT 8
- Performance HOT 1
- Usage FSIM with Normalized image between [0 1] range HOT 1
- Error during installation HOT 3
- ISSM metric does not work HOT 6
- Support python 3.10 HOT 3
- Installation Error HOT 4
- Use for Different Image Dimension HOT 2
- psnr HOT 1
- Does not work with python3.10 and python3.11 HOT 4
- ssim uses multichannel kwarg which is not longer used by structural_similarity function HOT 1
- Use Poetry for packaging and dependency management
- Can SAM be used in computing two RGB images?
- command not found: image-similarity-measures HOT 3
- Missing normalisation in _ehs for ISSM HOT 3
- Multi-band image calculation FSIM is Nan value HOT 4
- What's "the value is set to 12 bits (4095) "mean?
- ModuleNotFoundError: No module named 'image_similarity_measures' HOT 2
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