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断言assert是什么?

引言:

目录

引言:

下载 shape_predictor_68_face_landmarks.dat 文件        --点击进入 

注意:



  • 下载 shape_predictor_68_face_landmarks.dat 文件        --点击进入 
import cv2  
import dlib  
import numpy as np  
  
# 初始化dlib的人脸检测器和特征点检测器  
detector = dlib.get_frontal_face_detector()  
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")  
  
# 初始化表情识别器  
# 这里假设你已经有了一个训练好的表情识别模型,例如使用SVM或神经网络  
# emotion_classifier = ...  
  
# 加载表情标签  
EMOTIONS = ["anger", "disgust", "fear", "happiness", "sadness", "surprise", "neutral"]  
  
# 实时视频流处理  
cap = cv2.VideoCapture(0)  
  
while True:  
    ret, frame = cap.read()  
    if not ret:  
        break  
  
    # 转为灰度图  
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  
  
    # 检测人脸  
    rects = detector(gray, 0)  
    for rect in rects:  
        # 获取特征点  
        shape = predictor(gray, rect)  
        shape = np.array([(shape.part(i).x, shape.part(i).y) for i in range(0, 68)])  
  
        # 在图像上绘制特征点  
        for pt in shape:  
            cv2.circle(frame, pt, 2, (0, 255, 0), -1)  
  
        # 这里可以添加代码进行表情识别  
        # 例如:emotion = emotion_classifier.predict(shape)  
        # emotion_label = EMOTIONS[emotion]  
        # cv2.putText(frame, emotion_label, (rect.left(), rect.top() - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 255), 2)  
  
    cv2.imshow("Face Detection with Emotion Recognition", frame)  
  
    # 退出条件  
    if cv2.waitKey(1) & 0xFF == ord('q'):  
        break  
  
cap.release()  
cv2.destroyAllWindows()

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