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Face Landmark Detection using dlib - Python OpenCV
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Facial landmark detection is detecting landmarks or regions of interest (key points) on the face like Eyebrows, Eyes, Nose, Mouth, and Jaw silhouette.
Some applications of facial landmark detection are face swap, head pose detection, detecting facial gestures, gaze direction, etc.
OpenCV stands for Open Source Computer Vision Library, to read and process our image.
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Facial landmark detection is detecting landmarks or regions of interest (key points) on the face like Eyebrows, Eyes, Nose, Mouth, and Jaw silhouette.
Some applications of facial landmark detection are face swap, head pose detection, detecting facial gestures, gaze direction, etc.
OpenCV stands for Open Source Computer Vision Library, to read and process our image.
Follow me on:
Please let me know your valuable feedback on the video by means of comments. Please like and share the video. Do not forget to subscribe to my channel for more educational videos.
Any type of problem you can comment down.
Want more education? Connect with me here:
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