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Deep Face Detection with MediaPipe in Python
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In this video, we explore face detection using the Mediapipe library in Python. The library uses a deep learning-based SSD (Single Shot Multibox Detector) model to accurately detect faces in images and videos. In addition to face detection, the Mediapipe library in Python also provides facial landmarks such as the locations of the eyes, nose, ears and mouth. These landmarks can be used to align faces in facial recognition applications, improving the accuracy of face recognition. We walk through the code step-by-step, showing how to load images or video files and process them with the Mediapipe library. We also discuss the various parameters and options available to fine-tune the face detection process. By the end of the video, you'll have a solid understanding of how to use the Mediapipe library to detect faces in your own projects.
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