帮我写一个测试类从本地文件夹读取一个带人脸的图片A后传入一个训练好的模型使用训练好的模型来对图片A进行测试来判断图片中的人脸是真实还是虚假的概率根据测试的结果在图片A中人脸进行画一个方框并在旁边标注出人脸真假的概率

import cv2 from face_recognition import FaceDetector

class TestFaceDetector: def init(self, model_path, image_path): self.model_path = model_path self.image_path = image_path

def run_test(self):
    # Load image
    image = cv2.imread(self.image_path)

    # Load face detector model
    face_detector = FaceDetector(self.model_path)

    # Detect faces in image
    faces = face_detector.detect_faces(image)

    # Draw bounding box and label for each face
    for face in faces:
        # Get coordinates of bounding box
        x, y, w, h = face['box']

        # Draw bounding box
        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)

        # Get probability of face being real
        prob_real = face['prob_real']

        # Label face with probability of being real
        label = 'Real: {:.2f}%'.format(prob_real * 100)
        cv2.putText(image, label, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)

    # Show image with bounding boxes and labels
    cv2.imshow('Image', image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

if name == 'main': model_path = 'path/to/model' image_path = 'path/to/image' test = TestFaceDetector(model_path, image_path) test.run_test(