tomotwin-cryoet
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cryo-ET particle picking by representation and metric learning
`mamba env create -n tomotwin -f https://raw.githubusercontent.com/MPI-Dortmund/tomotwin-cryoet/main/conda_env_tomotwin.yml` -> ```txt error libmamba YAML spec file 'https:/raw.githubusercontent.com/MPI-Dortmund/tomotwin-cryoet/main/conda_env_tomotwin.yml' not found critical libmamba File not found. Aborting. ```
just FYI, having some problems with env creation ```txt micromamba env create -n tomotwin -f conda_env_tomotwin.yml nvidia/noarch (check zst) Checked 0.1s pytorch/noarch (check zst) Checked 0.1s pytorch/linux-64 (check zst) Checked...
With the upcoming napari-tomotwin, the clustering workflow becomes more streamlined and powerful. This needs to be reflected in the documentation before I can release it. Some points that needs to...
During training, I do three independent forward passes through the network for the anchors, the positive and the negative volumes respectively (see https://github.com/MPI-Dortmund/tomotwin-cryoet/blob/2f12e793a6800dd58fe09573b75b801e26830b91/tomotwin/modules/training/torchtrainer.py#L626). It is probably more efficient to concatenate...
Dear Thorsten, I have been using your provided dataset and configuration scripts for training, and I've achieved an F1 score of 0.90 after 300 epochs, which is even higher than...
Dear Devs, I am using tomotwin as part of napari 0.4.18. I am running in clustering mode. The pixel size of my tomogram is 11.06, note that I did try...
In issue #58 @azazellochg run into an issue that ldconfig was not in the path. This also happend on some other machines for me as well: https://discuss.pytorch.org/t/dynamo-exceptions-with-distributeddataprallel-compile/186768/3 We should add...
This can be in particular useful when using the clustering mode.
This would allow multi gpu estimation of umaps. https://docs.rapids.ai/api/cuml/stable/api/#cuml.dask.manifold.UMAP