Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in ...

Today we’re going to learn how to work with images to detect faces and extract facial features such as the eyes, nose, and mouth. This method has the potential to do many incredible things from ...

The YuNet successfully detects 619 faces out of approximately 1 000 faces reported. The undetected face contains only a few pixels, is blurred and can not be recognized by human eyes. They can be ...