Implemented Wiener filter in pytorch

[oierlauzi]

I have implemented a reduced version of xmipp_ctf_correct_wiener_2d in pytorch. The main advantage of this program is that it can make use of GPU acceleration, achieving significant performance improvements.

[albertmena]

@erneyramirez could you check if the code works as it should?

[erneyramirez]

I have detected a difference in the output compared to "normal" Xmipp MRCs. I also think that the extension should be changed to .mrcs instead of .mrc, as the latter is typically used for volumes and not image stacks.

oier = mrcfile.mmap('oier.mrcs')
oier.data[0].shape
(1, 180,180)

xmipp = mrcfile.mmap('xmipp.mrcs')
xmipp.data[0].shape
(180,180)

oier.data.shape
(87603, 1, 128, 128)
xmipp.data.shape
(87603, 128, 128)

[oierlauzi]

Thank you Erney. Fixed it in the last commit

[erneyramirez]

It's giving an error

[oierlauzi]

Fixed it

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

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77 Code Smells

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0.0% Duplication

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
77 Code Smells

No Coverage information
0.0% Duplication

[sonarcloud]

Quality Gate passed

Issues
52 New issues
0 Accepted issues

Measures
0 Security Hotspots
No data about Coverage
0.0% Duplication on New Code

See analysis details on SonarCloud

[sonarcloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarCloud