InnerEye-DeepLearning/InnerEye
Melissa Bristow cf8bd5e906
BUG: Ensemble HeadAndNeck model encounters 'CUDA out of memory' (#754)
Fix cuda out of memory for ensembles
2022-06-30 17:00:59 +01:00
..
Azure ENH: Add Environment Locking (#735) 2022-06-01 10:05:54 +00:00
Common ENH: Move hi-ml and fastMRI to PyPI packages (#752) 2022-06-23 09:44:54 +01:00
ML BUG: Ensemble HeadAndNeck model encounters 'CUDA out of memory' (#754) 2022-06-30 17:00:59 +01:00
Scripts Downloading checkpoints from AML if not found on disk (#614) 2021-12-09 20:18:41 +00:00
README.md Replace RadIO with TorchIO for patch-based inference (#666) 2022-02-23 10:28:11 +00:00
settings.yml Remove more dead arguments (#333) 2020-12-04 11:31:37 +00:00

README.md

Microsoft Research Cambridge InnerEyeDeepLearning for Medical Image Analysis

Consuming the InnerEye package

  • You need to have a Conda installation on your machine.
  • Create a Conda environment file environment.yml in your source code with this contents:
name: MyEnv
channels:
  - defaults
  - pytorch
dependencies:
  - pip=20.0.2
  - python=3.7.3
  - pytorch=1.3.0
  - pip:
      - innereye
  • Create a conda environment: conda env create --file environment.yml
  • Activate the environment: conda activate MyEnv