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Hello,
Have you a function to compare 2 images like SSIM (https://fr.wikipedia.org/wiki/Structural_Similarity)
Thanks
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Hi,
I would like to retrain the model and am interested in understanding how to measure and display the metric values such as Correlation Coefficient (CC), Structural Similarity Index (SIM), Normal…
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Hello,
This SSIM implementation is a great addiction to the differentiable functions of PyTorch. However it is lacking the Multi-Scale Structural Similarity, a more commonly used metric in image a…
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Hi,
I get this error message when running holoencoder4kload.py:
"ValueError: Since image dtype is floating point, you must specify the data_range parameter. Please read the documentation carefully (…
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## Description
I see that the diff image produced by `structural_similarity` uses the standard simplified definition, i.e.
https://github.com/scikit-image/scikit-image/blob/2c633821047de156761a9…
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**Is your feature request related to a problem? Please describe.**
Users are always uncertain about how big the difference is between the image before and after compression, how much the photo qualit…
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Simpler metrics such as `deepinv.loss.SSIM` should call a more lightweight library, e.g. `torchvision`, rather than `pyiqa` which has many dependencies such as `opencv` and `llvmlite`. Furthermore, `p…
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## Description
They're 2 MATLAB implementations of SSIM from original authors, which can be found [here](http://www.cns.nyu.edu/~lcv/ssim/).
First one [`ssim_index.m`](http://www.cns.nyu.edu/~lcv/ss…
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In some cases, it may be that cells generate variable output of a consistent form, for example:
- looping to producing N lines of printed out;
- display a list containing M items;
- displaying a …