java opencv 人脸对比 opencv实现人脸识别

import cv2
import sys
from PIL import Image


def CatchUsbVideo(window_name, camera_idx):
    cv2.namedWindow(window_name)

    # 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)

    # 告诉OpenCV使用人脸识别分类器
    classfier = cv2.CascadeClassifier("./haarcascade_frontalface_alt2.xml")

    # 识别出人脸后要画的边框的颜色，RGB格式
    color = (0, 255, 0)

    while cap.isOpened():
        ok, frame = cap.read()  # 读取一帧数据
        if not ok:
            break

        # 将当前帧转换成灰度图像
        grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        # 人脸检测，1.2和2分别为图片缩放比例和需要检测的有效点数
        faceRects = classfier.detectMultiScale(grey, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32))
        if len(faceRects) > 0:  # 大于0则检测到人脸
            for faceRect in faceRects:  # 单独框出每一张人脸
                x, y, w, h = faceRect
                cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 2)

        # 显示图像
        cv2.imshow(window_name, frame)
        c = cv2.waitKey(10)
        if c & 0xFF == ord('q'):
            break

    # 释放摄像头并销毁所有窗口
    cap.release()
    cv2.destroyAllWindows()


if __name__ == '__main__':
    if len(sys.argv) != 1:
        print("Usage:%s camera_id\r\n" % (sys.argv[0]))
    else:
        CatchUsbVideo("识别人脸区域", 0)

效果截图，人丑勿怪