A Simple Tutorial To Identify Human Face In a Given Image Prerequisite Python3PyCharm or any other python IDEHomebrewcmake (brew install cmake)dlib (pip3 install dlib) The steps in bracket are specific to mac. Code This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters Show hidden characters import PIL.Image import PIL.ImageDraw import face_recognition image = face_recognition.load_image_file("IMG_20190720_160311.jpg") face_locations = face_recognition.face_locations(image) number_of_faces = len(face_locations) pil_image = PIL.Image.fromarray(image) for face_location in face_locations: top, right, bottom, left = face_location draw = PIL.ImageDraw.Draw(pil_image) draw.rectangle([left,top, right, bottom],outline="red",width=5) pil_image.show() view raw FindFace.py hosted with ❤ by GitHub The algorithm behind will be covered in subsequent tutorial. Test Input Test Output Reference: Linked In Course On Face Recognition Share this:TweetLike this:Like Loading... Related Leave a Reply Cancel reply
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