mirror of
https://github.com/Laurent2916/REVA-QCAV.git
synced 2024-11-08 14:39:00 +00:00
68e3b98cb2
Former-commit-id: 59b574464d86823eab554dcd2a53b6fb63fe88a8 [formerly 27c37d0f85316e6f67eed619701707698ecca22a] Former-commit-id: 34a00a48b3e51f88b017ae35749e6a6485050971 |
||
---|---|---|
.devcontainer | ||
.vscode | ||
src | ||
.editorconfig | ||
.gitattributes | ||
.gitignore | ||
.pre-commit-config.yaml | ||
LICENSE | ||
poetry.lock | ||
poetry.toml | ||
pyproject.toml | ||
README.md | ||
wandb.yaml |
sphereDetect
sphereDetect is a simple neural network, based on a Mask R-CNN, to detect spherical landmarks for image calibration.
Built with
Frameworks
Tools
Getting started (with docker)
TODO
Getting started (without docker)
Installation
Clone the repository:
git clone git@git.inpt.fr:fainsil/pytorch-reva.git
cd pytorch-reva
Install the dependencies:
poetry install --with all
Usage
Activate python environment:
poetry shell
Start and configure Weights & Biases local server:
wandb server start
wandb login
Start a training:
python src/train.py
License
Distributed under the MIT license.
See LICENSE
for more information.
Contact
Laurent Fainsin [fɛ̃zɛ̃]
<laurent@fainsin.bzh>