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| ## page was renamed from python = FreeSurfer Python Development = |
= FreeSurfer and LCN Python Development = |
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| To facilitate straightforward and reproducible python development in the lab, a custom python3 (anaconda) distribution for internal developers is installed at '''/space/freesurfer/python/linux'''. To use this version, make sure all calls to `python` or `python3` point to this install by adding the following to your PATH. | If you're a python developer who uses multiple package versions or environments, please install your own local [[https://docs.conda.io/en/latest/miniconda.html|mini-conda distribution]]. It will give you full access and control of the installed packages. To facilitate quick access to python utilities in the lab, a local conda distribution for internal developers is installed at `/autofs/cluster/freesurfer/python/linux`. To use this version, make sure all calls to `python` or `python3` point to this install by adding the following to your `PATH`: |
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| export PATH=/space/freesurfer/python/linux/bin:$PATH | export PATH=/autofs/cluster/freesurfer/python/linux/bin:$PATH |
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| Keep in mind there's also a `python3` link in `/usr/pubsw/bin`, so it's important that `/space/freesurfer/python/linux/bin` comes before that in your PATH. === Developing and Using the FreeSurfer Python Library === The freesurfer python library, which contains general utilities and various submodules like deepsurfer, gems, and samseg, is developed in the repository under '''repo/python/freesurfer'''. In order to utilize this library during development, you must point your `PYTHONPATH` at it: {{{ export PYTHONPATH=/path/to/your/freesurfer-repository/python:$PYTHONPATH }}} This allows you to import your working version of the freesurfer library in any script or python interpreter. You can test it by opening a python interpreter and running: {{{ import freesurfer as fs status = fs.run('echo hello!') }}} === Tensorflow === By default, the GPU version of tensorflow is installed. You can still make tensorflow use the CPU with this version, but if your machine does not have cuda installed (like `oribi`), then you unfortunately won't be able to import tensorflow at all. In this case, you must activate the `tensorflow-cpu` conda environment by running: {{{ source activate tensorflow-cpu }}} |
Keep in mind there's also a `python3` link in `/usr/pubsw/bin`, so it's important that `/autofs/cluster/freesurfer/python/linux/bin` comes before that in your `PATH`. If you want a python package installed into this distribution, email [[avnish.kumar@mgh.harvard.edu|Avnish]]. |
FreeSurfer and LCN Python Development
If you're a python developer who uses multiple package versions or environments, please install your own local mini-conda distribution. It will give you full access and control of the installed packages.
To facilitate quick access to python utilities in the lab, a local conda distribution for internal developers is installed at /autofs/cluster/freesurfer/python/linux. To use this version, make sure all calls to python or python3 point to this install by adding the following to your PATH:
export PATH=/autofs/cluster/freesurfer/python/linux/bin:$PATH
Keep in mind there's also a python3 link in /usr/pubsw/bin, so it's important that /autofs/cluster/freesurfer/python/linux/bin comes before that in your PATH. If you want a python package installed into this distribution, email Avnish.