We implemented real-time face-tracking technology in this demo project. This project can be built on Ubuntu 22.04 and model inference was implemented for web camera and real-time video streaming

You can visit our YouTube video for our face tracking SDK's performance here to see how well our demo app works.

• Build OpenCV on your platform, follow the steps in the link below. https://gist.github.com/kleysonr/c0752306bb6c021a1ff3c448996636ee
• Install vulkan sdk with the command "./install.sh"

Go to the project folder and enter the following command. ./build.sh

Go to the build folder and run with the below command

./<executive file name> --frame_num <frame number>

for example:

  ./face_track --frame_num 150

If you need to save a video file with tracking, you can run the command below

  ./<executive file name> --video_out true

for example:

  ./face_track --video_out true

TrackData contains one cropped face image per person, this can be used later for recognition purpose

  TrackData track_data = GetTrackData(frame, tracks);

This project can be improved by using KBY-AI's face recognition SDK here.

• To request SDK, please contact us:
  🧙Email: [email protected]
  🧙Telegram: @kbyai
  🧙WhatsApp: +19092802609
  🧙Skype: live:.cid.66e2522354b1049b
  🧙Facebook: https://www.facebook.com/KBYAI