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I am following the Relion 5 pipeline starting from the very beginning. When I proceed to the frist step (training setp) in denoising, Relion5 gives me an error saying that the it could not find the training model in my denoise job output. I have cryoCARE installed, and I have set 'Generate tomograms for denoising' to Yes in both motion correction and tomogram reconstruction stages, so I don't know why this happens.
Environment:
OS: [linux-64]
RELION version [RELION-5.0-beta-3-commit-7d79f3]
Job options:
Type of job: [Denoise tomograms]
Full command which relion_python_tomo_denoise cryoCARE:train --tomogram-star-file Tomograms/job038/tomograms.star --output-directory Denoise/job039/ --gpu 0 --training-tomograms Position_1:Position_1_2:Position_2_2:Position_3_3:Position_6 --number-training-subvolumes 1200 --subvolume-sidelength 72 --pipeline_control Denoise/job039/
I am following the Relion 5 pipeline starting from the very beginning. When I proceed to the frist step (training setp) in denoising, Relion5 gives me an error saying that the it could not find the training model in my denoise job output. I have cryoCARE installed, and I have set 'Generate tomograms for denoising' to Yes in both motion correction and tomogram reconstruction stages, so I don't know why this happens.
Environment:
Job options:
which relion_python_tomo_denoise
cryoCARE:train --tomogram-star-file Tomograms/job038/tomograms.star --output-directory Denoise/job039/ --gpu 0 --training-tomograms Position_1:Position_1_2:Position_2_2:Position_3_3:Position_6 --number-training-subvolumes 1200 --subvolume-sidelength 72 --pipeline_control Denoise/job039/Error message:
And here is the .out file
Any suggestions or advice will be helpful.
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