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