Repository contains the code for 2nd place solution of VinBigData Chest X-ray Abnormalities Detection competition. The goal of competition was to automatically localize and classify thoracic abnormalities from chest radiographs.

Kaggle forum posts about the solution:

• 2nd place solution (quick overview)
• 2nd place solution (addition about MMDetection)

Solution consists of 3 parts. Each part is models from each team member. Predictions of each part in the end ensembled in single 2nd place submission on LeaderBoard. You can use only inference or train models from scratch.

Warning: since some of the data is hosted on Kaggle, in order to be able to download it, save your Kaggle API token to .kaggle/kaggle.json

cd part_zfturbo
pip install -r requirements.txt
sh ./preproc.sh
sh ./inference.sh
cd ..

cd part_ivan
sh ./setup.sh
sh ./preproc.sh
sh ./inference.sh
cd ..

cd part_sergey
sh ./inference.sh
cd ..

python3 ensemble_models.py

cd part_zfturbo
pip install -r requirements.txt
sh ./preproc.sh
sh ./train.sh
sh ./inference.sh
cd ..

cd part_ivan
sh ./setup.sh
sh ./preproc_train.sh
sh ./train.sh
sh ./inference.sh
cd ..

cd part_sergey
sh ./train.sh
sh ./inference.sh
cd ..

python3 ensemble_models.py