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build:
docker build -t wheat:0.1 .
# Start development container with docker compose in deamon mode
start:
docker-compose up -d
# Install dependencies inside container
install:
docker exec wheat-dev pip install -r requirements.txt --user
# Stop your services once you’ve finished with them
stop:
docker-compose stop
# Bring everything down, removing the containers entirely
clean:
docker-compose down --volumes
# download and unpack dataset
dataset:
docker exec wheat-dev bash scripts/download_dataset.sh
folds:
docker exec wheat-dev python -m src.folds.make_folds
# Run trainingd of EfficientDet 4
train:
docker exec wheat-dev bash scripts/train.sh
# Make prediction for test data (trained models in models/ directory)
inference:
docker exec wheat-dev bash scripts/predict.sh