A comprehensive guide on how to detect faces with Python

Today we’re going to learn how to work with images to detect faces and extract facial features such as the eyes, nose, and mouth. This method has the potential to do many incredible things from analyzing faces to capturing facial features to tag people in photos, either manually or through machine learning. Also, you can create effects and filters to “enhance” your images, similar to the ones you see in Snapchat. We’ve previously covered how to work with OpenCV to detect shapes in images, but today we’re taking it to a new level by introducing DLib, and abstracting face features from an…

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