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feat: simple README.md
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# sphereDetect
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sphereDetect is a simple neural network, based on a Mask R-CNN, to detect spherical landmarks for image calibration.
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## Built with
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- [Python](https://www.python.org/)
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### Frameworks
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- [PyTorch](https://pytorch.org/)
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- [TorchVision](https://pytorch.org/vision/stable/index.html)
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- [PyTorch Lightning](https://www.pytorchlightning.ai/)
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- [PyTorch Metrics](https://torchmetrics.readthedocs.io/en/stable/)
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- [PyTorch Lightning Bolts](https://www.pytorchlightning.ai/bolts)
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- [ONNXRuntime](https://onnxruntime.ai/)
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### Tools
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- [Poetry](https://python-poetry.org/)
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- [Docker](https://www.docker.com/)
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- [VSCode](https://code.visualstudio.com/)
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- [ms-python](https://marketplace.visualstudio.com/items?itemName=ms-python.python)
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- [Python Docstring Generator](https://marketplace.visualstudio.com/items?itemName=njpwerner.autodocstring)
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- [Conventional Commits](https://marketplace.visualstudio.com/items?itemName=vivaxy.vscode-conventional-commits)
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- [Remote container](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
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- [EditorConfig](https://marketplace.visualstudio.com/items?itemName=EditorConfig.EditorConfig)
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- [Docker](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-docker)
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## Getting started (with docker)
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TODO
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## Getting started (without docker)
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### Installation
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Clone the repository:
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```bash
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git clone git@git.inpt.fr:fainsil/pytorch-reva.git
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cd pytorch-reva
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```
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Install the dependencies:
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```bash
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poetry install --with all
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```
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### Usage
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Activate python environment:
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```bash
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poetry shell
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```
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Start and configure Weights & Biases local server:
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```bash
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wandb server start
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wandb login
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```
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Start a training:
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```bash
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python src/train.py
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```
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## License
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Distributed under the [MIT](https://choosealicense.com/licenses/mit/) license. \
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See [`LICENSE`](https://git.inpt.fr/fainsil/pytorch-reva/-/blob/master/LICENSE) for more information.
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## Contact
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Laurent Fainsin _[fɛ̃zɛ̃]_ \
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\<[laurent@fainsin.bzh](mailto:laurent@fainsin.bzh)\>
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[virtualenvs]
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create = true
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in-project = true
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