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ivadomed Overview

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ivadomed is an integrated framework for medical image analysis with deep learning.

The technical documentation is available here. The more detailed installation instruction is available there

Installation

ivadomed requires Python >= 3.7 and < 3.10 as well as PyTorch == 1.8. We recommend working under a virtual environment, which could be set as follows:

python -m venv ivadomed_env
source ivadomed_env/bin/activate

Install ivadomed and its requirements from Pypi <https://pypi.org/project/ivadomed/>__:

pip install --upgrade pip
pip install ivadomed

Install from source

Bleeding-edge developments builds are available on the project's master branch on Github. Installation procedure is the following:

git clone https://github.com/neuropoly/ivadomed.git
cd ivadomed
pip install -e .

Contributors

This project results from a collaboration between the NeuroPoly Lab and the Mila. The main funding source is IVADO.

List of contributors

Consult our Wiki(https://github.com/ivadomed/ivadomed/wiki) here for more help

Metadata

Release files for ivadomed 2.9.8

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Source distribution for ivadomed 2.9.8
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Table of built distributions (wheels) for ivadomed 2.9.8
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ivadomed-2.9.8-py3-none-any.whl Python 3 none any Details

Total release size: 424.4 kB

Release files / ivadomed-2.9.8.tar.gz

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Security for ivadomed 2.9.8

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