12/24/2023 0 Comments Nose shapes# overlay and one for the final output image # create two copies of the input image - one for the To accomplish this, we’ll need the visualize_facial_landmarks function, already included in the imutils library: def visualize_facial_landmarks(image, shape, colors=None, alpha=0.75): Visualizing facial landmarks with OpenCV and PythonĪ slightly harder task is to visualize each of these facial landmarks and overlay the results on an input image. Using this dictionary we can easily extract the indexes into the facial landmarks array and extract various facial features simply by supplying a string as a key. These mappings are encoded inside the FACIAL_LANDMARKS_IDXS dictionary inside face_utils of the imutils library: # define a dictionary that maps the indexes of the facial ![]()
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