使用 OpenCV 和 dlib 库实现眼睛和嘴巴识别的 Python 代码

以下是使用OpenCV和dlib库实现眼睛和嘴巴识别的Python代码示例：

import cv2
import dlib

# 加载人脸检测器和关键点检测器
face_detector = dlib.get_frontal_face_detector()
keypoint_detector = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# 打开摄像头
cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    # 将图像转换为灰度图像
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # 检测人脸
    faces = face_detector(gray)

    # 检测人脸关键点
    for face in faces:
        keypoints = keypoint_detector(gray, face)

        # 绘制人脸关键点
        for i in range(68):
            x, y = keypoints.part(i).x, keypoints.part(i).y
            cv2.circle(frame, (x, y), 1, (0, 255, 0), -1)

        # 根据人脸关键点定位眼睛和嘴巴
        left_eye = [(keypoints.part(i).x, keypoints.part(i).y) for i in range(36, 42)]
        right_eye = [(keypoints.part(i).x, keypoints.part(i).y) for i in range(42, 48)]
        mouth = [(keypoints.part(i).x, keypoints.part(i).y) for i in range(48, 68)]

        # 计算眼睛和嘴巴的状态
        left_eye_open = is_eye_open(left_eye)
        right_eye_open = is_eye_open(right_eye)
        mouth_open = is_mouth_open(mouth)

        # 根据状态绘制不同的框和文本
        if left_eye_open and right_eye_open:
            cv2.rectangle(frame, (face.left(), face.top()), (face.right(), face.bottom()), (0, 255, 0), 2)
            cv2.putText(frame, "Eyes open", (face.left(), face.top() - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
        else:
            cv2.rectangle(frame, (face.left(), face.top()), (face.right(), face.bottom()), (0, 0, 255), 2)
            cv2.putText(frame, "Eyes closed", (face.left(), face.top() - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)

        if mouth_open:
            cv2.rectangle(frame, (face.left(), face.top()), (face.right(), face.bottom()), (0, 255, 0), 2)
            cv2.putText(frame, "Mouth open", (face.left(), face.bottom() + 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
        else:
            cv2.rectangle(frame, (face.left(), face.top()), (face.right(), face.bottom()), (0, 0, 255), 2)
            cv2.putText(frame, "Mouth closed", (face.left(), face.bottom() + 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)

    cv2.imshow("frame", frame)
    if cv2.waitKey(1) == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()

上述代码中使用了`shape_predictor_68_face_landmarks.dat`文件，用于人脸关键点检测。在绘制人脸关键点时，使用了`cv2.circle`函数绘制圆形，并根据关键点的位置和状态绘制不同的框和文本。具体的眼睛和嘴巴状态计算函数`is_eye_open`和`is_mouth_open`可以自行实现。