This is my repository with a baseline model for Wheat Detection challenge on Kaggle
Main frameworks used:
To use it for training, perform the following steps:
- download the data, unzip in and put in some folder;
- define that folder in config conf/data/data.yaml as a value of the key
data.folder_path - run run_hydra.py script
There is no script for prediction, because in this competition we have to make prediction in kernels.
Refer to my kernel for more information: https://www.kaggle.com/artgor/object-detection-with-pytorch-lightning
