After creating and activating your virtual environment install requirements
$ pip install -r requirements.txt
Build docker image
Go to docker file
$ cd docker
Build the image and go back to project directory
$ docker build -t facial:v1 .
$ cd ..
Run docker container
$ docker run -it --rm -v `pwd`:/workspace facial:v1
Then inside container run main.py
/workspace# python main.py
Put the data files under data directory following this structure
.
+-- data
| +-- test
| +-- train
| +-- validation
Further you can put sample images under data/sample folder
To run the code it is enough to write
$ python main.py
you can specify arguments
$ python main.py --device GPU --slot 0 --overwrite 1
where overwrite used to overwrite previous results.
Modify config.py to change experiment configuration.
Experiment outputs will be written under results folder.