real_time_face_recognition

This project can be divided into two steps:

1. Get static training model.
2. Use training model to recognize names in videos.

Dockerfile

• The Dockerfile.gpu contains one Dockerfile which can run the dlib library to detect and recognize faces.

Training Step

Main Idea

• Use Ransac to train the face model.

How to train

python3 train_cli.py train-with-video <your-video-location> <username>

Detecting Step

Main Idea

• Detect and encode faces in the frames and save result videos.

How to recognize

python3 recognize_cli.py recognize-faces-in-video <your-video-location>

Doc

• There is one detail report in doc folder.

Bash script example

• test_experiment_cli.sh: Detect faces in the video and save as images
• test_recognize_cli.sh: Recognize faces in the video and output result video
• test_recognize_faces_in_images.sh: Recognize faces in the image
• test_train_cli.sh: Train with video