使用python AI快速比对两张人脸图像及遇到的坑

python版本：3.6.8
dlib版本：19.7.0
face-recognition版本：0.1.10

pip install cmake

pip install dlib==19.7.0

pip install face-recognition==0.1.10

pip install OpenCV-python

# OpenCV is a library of programming functions mainly aimed at real-time computer vision.
import cv2

# It's loading a pre-trained model that can detect faces in images.
import face_recognition

def get_face_encodings(image_path):
    """
    It takes an image path, loads the image, finds the faces in the image, and returns the 128-d face encodings for each
    face

    :param image_path: The path to the image to be processed
    """
    # It's loading a pre-trained model that can detect faces in images.
    image = cv2.imread(image_path)

    # It's converting the image from BGR to RGB.
    image_RGB = image[:, :, ::-1]

    image_face = face_recognition.face_locations(image_RGB)

    # It's taking the image and the face locations and returning the face encodings.
    face_env = face_recognition.face_encodings(image_RGB, image_face)

    # It's returning the first face encoding in the list.
    return face_env[0]

# It's taking the image and the face locations and returning the face encodings.
ima1 = get_face_encodings('03.jpg')

# It's taking the image and the face locations and returning the face encodings.
ima2 = get_face_encodings('05.jpg')

# It's taking the image and the face locations and returning the face encodings.
ima1 = get_face_encodings('03.jpg')

# It's taking the image and the face locations and returning the face encodings.
ima2 = get_face_encodings('05.jpg')

# It's comparing the two face encodings and returning True if they match.
is_same = face_recognition.compare_faces([ima1], ima2, tolerance=0.3)[0]

print('人脸比对结果：{}'.fORMat(is_same))