Add APTOS 2019 Blindness Detection dataset to data/aptos2019-blindness-detection folder at root of project.
virtualenv -p python3.6 env
source env/bin/activate
pip install -r requirements.txt
#... when done
deactivate
./train.py
TODO validate this approach and update
Inspired by: https://www.kaggle.com/c/petfinder-adoption-prediction/discussion/82092
- Download the git repo as a zip file
- Upload the git repo to kaggle kernel as a dataset
- Upload the trained checkpoint file to kaggle kernel as a dataset
- Copy and paste the following into the kernel
import sys
sys.path.append("../input/path/to/root/of/blindness-detection/")
from submit import main
main("<path_to_checkpoint>", "<path_to_image_directory", "path_to_image_data_frame")- Update "<path_to_checkpoint>", "<path_to_image_directory", "path_to_image_data_frame"
- Run kernel