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- from PIL import Image
- import face_recognition
- # Load the jpg file into a numpy array
- image = face_recognition.load_image_file("biden.jpg")
- # Find all the faces in the image using the default HOG-based model.
- # This method is fairly accurate, but not as accurate as the CNN model and not GPU accelerated.
- # See also: find_faces_in_picture_cnn.py
- face_locations = face_recognition.face_locations(image)
- print("I found {} face(s) in this photograph.".format(len(face_locations)))
- for face_location in face_locations:
- # Print the location of each face in this image
- top, right, bottom, left = face_location
- print("A face is located at pixel location Top: {}, Left: {}, Bottom: {}, Right: {}".format(top, left, bottom, right))
- # You can access the actual face itself like this:
- face_image = image[top:bottom, left:right]
- pil_image = Image.fromarray(face_image)
- pil_image.show()
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