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 from release (recommended)
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.
Consult our Wiki(https://github.com/ivadomed/ivadomed/wiki) here for more help
Release files for ivadomed 2.9.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ivadomed-2.9.8.tar.gz | 187.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | ivadomed-2.9.8.tar.gz |
|---|---|
| Size | 187.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4ca3361ea842494b7fed40970799403c76c3e568e6b342c83290ca718132f808
|
|
BLAKE2b-256 checksum How to use checksums |
8546d537d1596f3a0bf6c4d075893d57ddadaa94fc7dab81714fbc649c257169
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
|
Release files / ivadomed-2.9.8-py3-none-any.whl
| Download URL | ivadomed-2.9.8-py3-none-any.whl |
|---|---|
| Size | 236.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ea521da4e8a62a321f599cca781a5d60cdae66602484a1263f56ee9365928604
|
|
BLAKE2b-256 checksum How to use checksums |
88838e2e60699dd18612f45d0340ca147d854c207f5c260e48a131f25e4f5b6a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
|