Python 用dlib来实现视频人脸检测 （很卡，我电脑带不动，卡死了。。）我的是轻薄本

import cv2
import dlib

def CatchPICFromVideo(camera_idx):
    cv2.namedWindow("image",0)
    #qcv2.resizeWindow("image", 1600, 900)  # 设置长和宽
    # 视频来源，可以来自一段已存好的视频，也可以直接来自USB摄像头
    cap = cv2.VideoCapture(camera_idx)
    num = 0
    while cap.isOpened():
        ok, frame1 = cap.read()  # 读取一帧数据
        scale_percent = 10  # percent of original size   缩小到原来25%
        width = int(frame1.shape[1] * scale_percent / 100)
        height = int(frame1.shape[0] * scale_percent / 100)
        dim = (width, height)
        frame = cv2.resize(frame1, dim, interpolation=cv2.INTER_AREA)
        if not ok:
            break
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        # 人脸分类器
        detector = dlib.get_frontal_face_detector()
        # 获取人脸检测器
        predictor = dlib.shape_predictor(
            "shape_predictor_68_face_landmarks.dat"
        )
        color = (0, 255, 0)  # 定义绘制颜色
        dets = detector(gray, 1)
        if len(dets) > 0:  # 大于0则检测到人脸
            for face in dets:
                shape = predictor(frame, face)  # 寻找人脸的68个标定点
                chang = []
                kuan = []
                # 遍历所有点，打印出其坐标，并圈出来
                for pt in shape.parts():
                    #pt_pos = (pt.x, pt.y)
                    chang.append(pt.x)
                    kuan.append(pt.y)
                    #cv2.circle(img, pt_pos, 1, (0, 255, 0), 1)
                num += 1
                #if num > catch_pic_num:  # 如果超过指定最大保存数量退出循环
                    #break

                # 画出矩形框
                x1 = max(chang)
                x2 = min(chang)
                y1 = max(kuan)
                y2 = min(kuan)
                cv2.rectangle(frame, (x2, y2), (x1, y1), color, 2)
                #cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 2)

                # 显示当前捕捉到了多少人脸图片了，这样站在那里被拍摄时心里有个数，不用两眼一抹黑傻等着
                #font = cv2.FONT_HERSHEY_SIMPLEX
                #cv2.putText(frame ,‘num:%d‘ % (num) ,(x2 + 30, y2 + 30), font, 1, (255 ,0 ,255) ,4)

                # 超过指定最大保存数量结束程序
        #if num > catch_pic_num:
            #break

        # 显示图像
        cv2.imshow("image", frame)
        c = cv2.waitKey(1)
        if c & 0xFF == ord(‘q‘):
            break
    # 释放摄像头并销毁所有窗口
    cap.release()
    cv2.destroyAllWindows()
print(CatchPICFromVideo(r‘H:\renwu__opencv\zhaopian\IMG_1502.MOV‘))