Deepberry : segmentation and time-lapse tracking of grapevine berries

Installation from source

# for prediction
mamba create -n grapevine -c conda-forge python=3.12 (3.9>=version<3.13) 
mamba activate grapevine

#(only firts time)
git lfs install
git clone
git lfs pull

# Install deepberry
pip install .[test]

# (optional) for model training (note: for GPU compatibility, see further guidelines at the top of the training scripts): 
pip install .[training]

# (optional) for model validation metrics:
pip install .[validation]

Maintainers

• Benoit Daviet (b.daviet@hotmail.com)
• Fournier Christian (christian.fournier@inrae.fr)