This project applies a 3D filter to the face by using a model to predict 68 landmark points on the human face (Dlib) combined with Delaunay triangulation to warp the filter onto the face.
Install dependencies
# clone project git clone https://github.com/tiendzung/facial_landmarks cd your-repo-name # [OPTIONAL] create conda environment conda create -n myenv python=3.9 conda activate myenv # install pytorch according to instructions # https://pytorch.org/get-started/ # install requirements pip install -r requirements.txt
Train model with default configuration
# train on CPU python src/train.py trainer=cpu # train on GPU python src/train.py trainer=gpu
Train model with chosen experiment configuration from configs/experiment/
python src/train.py experiment=experiment_name.yaml
You can override any parameter from command line like this
python src/train.py trainer.max_epochs=20 data.batch_size=64
You can run program
python src/app/app.py
