InnerEye-DeepLearning/InnerEye
Jonathan Tripp 439ec0ff40
Additional parameter for the zip file name when scoring (#407)
Added parameter result_zip_dicom_name for the zip file name when scoring and using dicom.
2021-02-26 09:23:36 +00:00
..
Azure Enable multi-node training (#385) 2021-02-08 14:21:50 +00:00
Common Additional parameter for the zip file name when scoring (#407) 2021-02-26 09:23:36 +00:00
ML Additional parameter for the zip file name when scoring (#407) 2021-02-26 09:23:36 +00:00
Scripts Additional parameter for the zip file name when scoring (#407) 2021-02-26 09:23:36 +00:00
README.md Add source code 2020-07-29 00:30:35 +05:30
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:
      - git+https://github.com/analysiscenter/radio.git@6d53e25#egg=radio
      - git+https://github.com/ptrblck/apex.git@4ad9b3b#egg=apex
      - innereye
  • Create a conda environment: conda env create --file environment.yml
  • Activate the environment: conda activate MyEnv