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# Filters
Each image is managed as a bitmap array on our solution.
The goal will be to apply some sorting functions. The final feature will allows the user to select any of these algorithms :
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SSIM is useful for quantifying the structural difference between two images. Most implementations in R are tailored to geospatial applications; most do not allow irregularly shaped images. Could SSIM …
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An error occurs when try to use torchmetrics in frozen project.
**Describe the bug**
```bash
Traceback (most recent call last):
File "/home/user1/project/_build/venv/lib/python3.9/site-package…
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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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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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I believe there is an issue with the calculation of the SSIM metric inside 'parallel_score.py'. I can see that it uses the metrics.structural_similarity() function from skimage.
As from the end of 2…
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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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It might be a silly question but I still don‘t understand how you perform domain clustering by foldseek.
You mentioned in your nature article "Clustering predicted structures at the scale of the kno…