DetectFaces.py 文件源码

def detect_faces_from_picture(pic_file_path):
    print(">>> Let me check this picture: " + pic_file_path)
    frame = cv2.imread(pic_file_path)

    # Detect faces in the frame
    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray_frame, 1.3, 5)

    # Match the detected faces with the trained model
    if len(faces) > 0:
        print(">>> Someone is in the picture!")
        for (x, y, w, h) in faces:
            face = frame[y:y+h, x:x+w]
            result = model.predict(face)
            for index, name in model.getTrainCfg():
                if result == index:
                    print(">>> Aha, it's %s!" % name)