Facial Landmarks example with dlib, OpenCV in the Chrysalis Cloud

Facial landmarks are usually the second step in facial recognition. They are used to to scale and align faces for more accurate comparisons in facial recognition. They do have some use cases on their own, such as drowsiness detection, face swap or Snapschat like filters.

Facial Landmarks example with dlib, OpenCV in the Chrysalis Cloud

This blog post was created on Chrysalis Cloud. You can read it there.

Source code:

chryscloud/chryscloud-ai-examples
Chrysalis Cloud AI example repository. Contribute to chryscloud/chryscloud-ai-examples development by creating an account on GitHub.