Video face detection and recognition in Python case

Today, I will share with you a simple picture face recognition technology. In fact, in practical applications, many of them are identified through video streams, such as face recognition channels.

Access control and attendance system, face dynamic tracking and recognition system, etc.

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Case show

Here we still use the haar face feature classifier that comes with opencv, and recognize the face by reading a video.

Code:

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# -*- coding: utf-8 -*-
__author__ = "小柒"
__blog__ = "https://blog.52itstyle.vip/"
import cv2
import os



def CatchPICFromVideo(window_name, camera_idx, catch_pic_num, path_name):
    cv2.namedWindow(window_name)

    
    cap = cv2.VideoCapture(camera_idx)

   
    classfier = cv2.CascadeClassifier(os.getcwd()+"\\haarcascade\\haarcascade_frontalface_alt.xml")

    
    color = (0, 255, 0)

    num = 0
    while cap.isOpened():
        ok, frame = cap.read() 
        if not ok:
            break

        grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  

       
        faceRects = classfier.detectMultiScale(grey, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32))
        if len(faceRects) > 0: 
            for faceRect in faceRects:  
                x, y, w, h = faceRect

               
                img_name = "%s/%d.jpg" % (path_name, num)
                # print(img_name)
                image = frame[y - 10: y + h + 10, x - 10: x + w + 10]
                cv2.imwrite(img_name, image, [int(cv2.IMWRITE_PNG_COMPRESSION), 9])

                num += 1
                if num > (catch_pic_num):  
                    break

               
                cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 2)

               
                font = cv2.FONT_HERSHEY_SIMPLEX
                cv2.putText(frame, 'num:%d/100' % (num), (x + 30, y + 30), font, 1, (255, 0, 255), 4)

                
        if num > (catch_pic_num): break

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

            
    cap.release()
    cv2.destroyAllWindows()


if __name__ == '__main__':
   
    CatchPICFromVideo("get face", os.getcwd()+"\\video\\kelake.mp4", 100, "E:\\VideoCapture")

The animation is a bit flowery, so pay attention to it:

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If it is to capture the camera, just change the following code:

# 如果获取摄像头，参数修改为 0 即可
cap = cv2.VideoCapture(0)

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At last

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No need to hide and tuck. Don't understand, remember to like and comment.

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