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NOT TO MERGE

albertmena and others added 24 commits May 9, 2025 12:52
Add noise power estimation to particle subtraction
remove removeDisabled in new residuals program
Installation: Production mode
* tensorflow 1.15 to 2.6 DLTK_v0.3

* xmipp_DLTK_v0.3 updated.
Just conda-forge and pip channels

* fixing bug in code hidden in tensorflow 1.15

* enhances

* enhances

* enhances

* enhances

* enhances

* enhances

* enhances

* enhances

* enhances

* enhances

* enhances

* back to tensorflow 1.15

* back to tensorflow 1.15

* back to tensorflow 1.15

* back to tensorflow 1.15

* Update deepConsensus_networkDef.py

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* just conda-forge and pip channels

* removing xmipp_graph env

* removing xmipp_graph env

* Update xmipp_DLTK_v1.0-gpu.yml

* Update xmipp_MicCleaner.yml

* Update xmipp_MicCleaner.yml

* Update xmipp_MicCleaner.yml

* emhancer upload version to tensorflow 2.10

* Update xmipp_deepEMhancer.yml

* Update xmipp_deepEMhancer.yml

* minors

* minors

* changes in pytorch env

* including   - libstdcxx-ng=14.2.0 # To be compatible with scipion env

* Installing all pytorch in conda-forge

* Update xmipp_pyTorch-gpu.yml

* note

* update model deepEMhancr

* no version on libstdcxx-ng

* model version for deepEMhancer

* Added versioning

* Empty line

* numpy with pip

* simplifying env installation

* no version for libstdcxx-ng

* enhancing the solving

* enhancing the solving

* fixing the version of deepEMhancer

* version libstdcxx-ng

---------

Co-authored-by: Oier Lauzirika Zarrabeitia <[email protected]>
@albertmena albertmena requested a review from oierlauzi June 23, 2025 10:28
@sonarqubecloud
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Quality Gate Failed Quality Gate failed

Failed conditions
7.4% Duplication on New Code (required ≤ 3%)

See analysis details on SonarQube Cloud

@albertmena albertmena merged commit effc203 into master Jun 24, 2025
4 of 5 checks passed
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8 participants