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.editorconfig feat: checkpoint wandb logging 2022-07-11 15:34:05 +02:00
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.gitignore feat(WIP): devcontainers 2022-09-13 09:43:03 +02:00
.pre-commit-config.yaml feat: add poetry pre-commit hook 2022-09-12 14:24:05 +02:00
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pyproject.toml feat: organize deps 2022-09-12 10:58:57 +02:00
README.md feat: moar README.md 2022-09-12 14:52:28 +02:00
wandb.yaml chore: bunch of small stuff 2022-09-12 09:28:29 +02:00

README.md

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 and vscode)

Requirements

Installation

Clone the repository:

git clone git@git.inpt.fr:fainsil/pytorch-reva.git

Start VS Code:

vscode pytorch-reva

Install the Remote Development extension pack.
Reopen the workspace in devcontainer mode.

Usage

Configure Weights & Biases (local) server at http://localhost:8080, and login:

wandb login --host http://localhost:8080

Press F5 to launch src/train.py in debug mode (with breakpoints, slower)
or press Ctrl+F5 to launch src/train.py in release mode.

Getting started (without docker)

Requirements

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

Configure Weights & Biases (local) server, and login:

wandb server start
wandb login --host http://localhost:8080

Start a training:

python src/train.py

License

Distributed under the MIT license.
See LICENSE for more information.

Contact

Laurent Fainsin [loʁɑ̃ fɛ̃zɛ̃]
<laurent@fainsin.bzh>