Skip to content
#

haar-cascade

Here are 409 public repositories matching this topic...

Facial Keypoint Detection is the marking of important areas of the face i.e. the eyes, corners of the mouth, the nose, that are relevant for a variety of tasks, such as face filters, emotion recognition, pose recognition using convolutional neural network and computer vision techniques to perform facial keypoint detection.

  • Updated Apr 15, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the haar-cascade topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the haar-cascade topic, visit your repo's landing page and select "manage topics."

Learn more