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Real-time facial landmark detection with OpenCV, Python, and dlib (Assignment Sample)
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By Kirvansh Kallaram
BSc Computer Science Year 3
CVBPR S1 Facial Landmark RealTime
CSE 3093Y Assignment March 2021
We used a shape predictor which is a dlib’s pre-trained facial landmark detector.
manipulating and processing these locations of the points, Numpy library is used for handling these complex data and calculations. The points data consisting pixel coordinates are stored in a 68 by 2 array named shape. We used the circle() function to draw onto the points.
References:
BSc Computer Science Year 3
CVBPR S1 Facial Landmark RealTime
CSE 3093Y Assignment March 2021
We used a shape predictor which is a dlib’s pre-trained facial landmark detector.
manipulating and processing these locations of the points, Numpy library is used for handling these complex data and calculations. The points data consisting pixel coordinates are stored in a 68 by 2 array named shape. We used the circle() function to draw onto the points.
References:
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