💡MediaPipe is a powerful library for facial landmark detection and tracking.
🔍Facial landmarks are key points on the face, such as the corners of the eyes, nose, and mouth.
✅To use MediaPipe, install the OpenCV and MediaPipe libraries.
🌐MediaPipe can process both images and videos to find facial landmarks.
🌀Coordinates of facial landmarks can be used for various applications, such as face recognition and expression analysis.
What are facial landmarks?
—Facial landmarks are key points on the face, such as the corners of the eyes, nose, and mouth. They are used for tasks like face recognition and expression analysis.
How do I install the required libraries?
—You can install the OpenCV and MediaPipe libraries using pip. Install OpenCV with 'pip install opencv-python' and MediaPipe with 'pip install mediapipe'.
Can I detect facial landmarks in videos?
—Yes, MediaPipe can process both images and videos to find facial landmarks. You can follow the same steps to detect facial landmarks in videos.
What can I do with facial landmark coordinates?
—Facial landmark coordinates can be used for various applications, such as face recognition, expression analysis, and virtual makeup.
Are facial landmarks accurate?
—Facial landmark detection algorithms are generally accurate but may have some limitations. It's important to consider factors like lighting conditions and face pose for accurate results.
00:14In this video, Sergio introduces how to find facial landmarks using MediaPipe.
02:58Install the required libraries: OpenCV and MediaPipe.
05:14Load an image and display it to ensure correct loading.
07:34Initialize the MediaPipe FaceMesh object for facial landmark detection.
09:58Process the image to extract facial landmarks.
11:58Convert landmark coordinates to image positions for accurate visualization.
13:58Draw circles on specific facial landmarks using the extracted coordinates.
15:46Access and draw circles on other facial landmarks by changing the index.
