PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods.
Although this repository does provide the original implementation of GPU-accelerated template matching, the latest developments are only available in our standalone package: pytom-match-pick. This includes improved permformance in both speed and accuracy, a per-tilt weighting model, and improved cut-off estimation.
PyTomGUI is designed to run on linux systems. All required packages are managed via conda. For further info see the wiki installation page.
If you want to make use of PyTomGUI interfacing with motioncor2 and IMOD's ctf correction, you will need to install these:
- motioncor2 ( >=1.2.1)
- imod (=4.10.25)
Git needs to be installed to clone the repository. Git can be installed by sudo apt install git or yum install git. After git has been installed, clone the pytom repository and enter it:
mkdir pytom
git clone https://github.com/SBC-Utrecht/PyTom.git pytom
cd pytom
Only in case you do not have the miniconda environment manager installed, run the following (otherwise continue with the next step):
bash installMiniconda.sh
Now we are ready to create the conda environment for pytom (solving all the dependencies might take a moment):
conda env create -f environments/pytom_full.yaml --name pytom_env
Activate the environment and run the pytom installation scripts to compile the backend (will take ~5 minutes):
conda activate pytom_env
python setup.py install --prefix $CONDA_PREFIX
Now everything should be setup to start pytom. You can start the GUI by running the following:
pytomGUI
Whenever you want to open pytomGUI in a new shell, first run:
conda activate pytom_env
For more information on running pytom, see the tutorial and wiki on github
For WSL2 you need at least Windows 10 Pro with HyperV support. To check if your machine can run of wsl, please type 'systeminfo' into the command prompt. The lines about HyperV should all return Yes.
To activate wsl, see the following tutorial: https://www.omgubuntu.co.uk/how-to-install-wsl2-on-windows-10
You also need a custom setup of the CUDA toolkit. A GPU driver needs to be installed on windows, and the CUDA toolkit isntallation in WSL2 requires installation of special packages, see the nvidia docs for more info: https://docs.nvidia.com/cuda/wsl-user-guide/index.html
For installation you should be able to follow the instructions as above, however you need to update the .yaml environment file. From the dependencies remove: cudatoolkit, cudnn, cupy. Then add the following to the bottom row (tqdm + joblib only placed for illustration) of the file, where [VERSION] should be replaced with CUDA tookit version, e.g. 116 if you have 11.6 of the CUDA toolkit.
...
- tqdm=4.62.1
- joblib=1.0.1
- pip:
- cupy-cuda[VERSION]
Afterwards you should be able to follow the installation steps as above.
You can also use dockerfile to easily build pytom image on any platform.
Note: Out of the box the image does not support GPU operations or pytomGUI.
git clone https://github.com/FridoF/PyTom.git && cd PyTom
docker build -t pytom .
Now that you have built an image, here are some examples of what you can do.
- Run ipytom:
docker run -it --rm pytom ipytom - Run a script located on the host:
docker run -it --rm -v "/home/user/scripts:/hostfiles/" pytom pytom /hostfiles/some_script.py
If you don't want to remove containers after the run, remove --rm flag.
Find info about how to user docker on their docs.
After installation you can run pytom unit tests that check the functionality of the program.
cd tests
python -m unittest discover
For the versions available, see the [tags on this repository].
- Marten Chaillet - PyTomGUI GPU MicrographModeller
- Gijs van der Schot - PyTomGUI GPU
- Ilja Gubins - GPU MicrographModeller
- Mihajlo Vanevic - PyTomGUI
- Thomas Hrabe - PyTom
- Yuxiang Chen - PyTom
- Friedrich Forster - PyTom
See also the list of [contributors] who participated in this project.
Copyright (c) 2021
Utrecht University
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
The complete license can be obtained from http://www.gnu.org/licenses/gpl-2.0.html.