Python detect_faces Examples

Example #1

 def test_landmarks(self):
     image = io.load_image("faces/albert-einstein.jpg")
     faces = detect_faces(image)
     self.assertTrue(len(faces) == 1)
     face = faces[0]
     landmarks = face_landmarks(image, face)
     self.assertTrue(len(landmarks) == 68)

Example #2

 def test_features(self):
     image = io.load_image("faces/albert-einstein.jpg")
     faces = detect_faces(image)
     self.assertTrue(len(faces) == 1)
     face = faces[0]
     landmarks = face_landmarks(image, face)
     features = extract_face_features(image, landmarks.shape)
     self.assertTrue(len(features) == 128)

Example #3

File: face_visualize_test.py Project: mrlathome/faceutils

 def test_faces(self):
     for image_file in glob("faces/*.jpg"):
         image = io.load_image(image_file)
         faces = detect_faces(image, min_score=1.0)
         face = faces[0]
         landmarks = face_landmarks(image, face)
         image = visualize(
             image,
             face,
             landmarks=landmarks,
             thickness=1,
             color=(0, 0, 255),
         )
         cv2.imshow('image', image)
         cv2.imwrite('images/' + image_file, image)
         cv2.waitKey(0)

Example #4

File: face_recognition_test.py Project: mrlathome/faceutils

 def get_features(self, image):
     return extract_face_features(
         image,
         face_landmarks(image,
                        detect_faces(image, min_score=1)[0]).shape)

Example #5

File: face_detector_test.py Project: mrlathome/faceutils

 def test_einstein(self):
     image = io.load_image("faces/albert-einstein.jpg")
     faces = detect_faces(image)        
     self.assertTrue(len(faces) == 1)
     self.assertTrue(faces[0].width() == 156)