自动检测人脸并使用opencv拍摄快照 [英] auto detect face and take a snapshot with opencv

问题描述

我正在与我的大学一起进行人脸识别项目.如果要在关闭网络摄像头之前自动检测到面部，我会尝试拍摄并保存快照. 我现在所拥有的是打开摄像头，然后等待是否检测到脸部，然后按"q"进行快照并保存图像. 这是代码:

i'm working on face recognition project with my college. what i'm trying to take a snapshot and save it if the face is detected automatically before closing the webcam. what I have now is open cam and wait if face is detected and press "q" to take snapshot and save the image. Here is the code:

import numpy as np
import cv2
import time

#import the cascade for face detection
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')



def TakeSnapshotAndSave():
    # access the webcam (every webcam has a number, the default is 0)
    cap = cv2.VideoCapture(0)

    while(True):
        # Capture frame-by-frame
        ret, frame = cap.read()

        # to detect faces in video
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        faces = face_cascade.detectMultiScale(gray, 1.3, 5)

        for (x,y,w,h) in faces:
            cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
            roi_gray = gray[y:y+h, x:x+w]
            roi_color = frame[y:y+h, x:x+w]

        x = 0
        y = 20
        text_color = (0,255,0)
        # write on the live stream video
        cv2.putText(frame, "Press q when ready", (x,y), cv2.FONT_HERSHEY_PLAIN, 1.0, text_color, thickness=2)


        # if you want to convert it to gray uncomment and display gray not fame
        #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        # Display the resulting frame
        cv2.imshow('frame',frame)
        # press the letter "q" to save the picture
        if cv2.waitKey(1) & 0xFF == ord('q'):
            # write the captured image with this name
            cv2.imwrite('try.jpg',frame)
            break

    # When everything done, release the capture
    cap.release()
    cv2.destroyAllWindows()


if __name__ == "__main__":
    TakeSnapshotAndSave()

先谢谢您

推荐答案

我修改了代码以保存10张图像以供测试，如果要无限张照片，只需更改while条件.因此，在您的代码中，您覆盖了当前图像，因此我更改了string参数，以便可以拍摄很多照片.

I adapted your code to save 10 images just for testing, if you want infinite photos, just change the while condition. So in your code you were overwriting the current image so I changed the string parameter so that it was possible to take lots of pictures.

import numpy as np
import cv2
import time

#import the cascade for face detection
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

def TakeSnapshotAndSave():
    # access the webcam (every webcam has a number, the default is 0)
    cap = cv2.VideoCapture(0)

    num = 0 
    while num<10:
        # Capture frame-by-frame
        ret, frame = cap.read()

        # to detect faces in video
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        faces = face_cascade.detectMultiScale(gray, 1.3, 5)

        for (x,y,w,h) in faces:
            cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
            roi_gray = gray[y:y+h, x:x+w]
            roi_color = frame[y:y+h, x:x+w]

        x = 0
        y = 20
        text_color = (0,255,0)

        cv2.imwrite('opencv'+str(num)+'.jpg',frame)
        num = num+1

    # When everything done, release the capture
    cap.release()
    cv2.destroyAllWindows()


if __name__ == "__main__":
    TakeSnapshotAndSave()

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