A multiclass semantic segmentation problem to identify 12 patterns (e.g., weeds, nutrient deficiency) from aerial images. Data from the Agriculture-Vision 2022 Challenge: https://www.agriculture-vision.com/agriculture-vision-2022/prize-challenge-2022
Poetry: https://python-poetry.org/docs/#installation
git clone https://github.com/dthuff/crop-segmentation
cd crop-segmentation/
poetry install
Set desired training parameters in a .yml config. An example is provided in configs/train_config.yml
Run training on GPU cuda:0 with:
poetry run python run_training.py --config /path/to/configs/train_config.yml --device 0