视频转图片-人脸识别-合成视频

代码：

import cv2
import os,sys
import numpy as np

face_xml = cv2.CascadeClassifier(r"C:\Users\lenovo\Desktop\python\jiqixuexi\haarcascade_frontalface_default.xml")
eye_xml = cv2.CascadeClassifier(r"C:\Users\lenovo\Desktop\python\jiqixuexi\haarcascade_eye.xml")

cap = cv2.VideoCapture(r"C:\Users\lenovo\Desktop\python\jiqixuexi\face_1.flv")
isOpened = cap.isOpened
print(isOpened)

fps = cap.get(cv2.CAP_PROP_FPS)
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

print(fps,width,height)

os.chdir(r"C:\Users\lenovo\Desktop\python\jiqixuexi\face\chuliqian")

print(os.getcwd)

i = 0
while(isOpened):
    if i == 2424:
        break
    else:
        i = i+1
    (flag,frame) = cap.read()
    fileName = "image" +str(i) +".jpg"
    if flag == True:
        cv2.imwrite(fileName,frame,[cv2.IMWRITE_JPEG_QUALITY,100])

print("end!")




for m in range(1,2424):
    os.chdir(r"C:\Users\lenovo\Desktop\python\jiqixuexi\face\chuliqian")
    fileName = "image" +str(m) +".jpg"

    print(fileName)

    img = cv2.imread(fileName)

    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

    faces = face_xml.detectMultiScale(gray,1.3,5)

    print("face=",len(faces))

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

        eyes = eye_xml.detectMultiScale(roi_face)

        for (e_x,e_y,e_w,e_h) in eyes:
            cv2.rectangle(roi_color,(e_x,e_y),(e_x+e_w,e_y+e_h),(0,255,0),2)
    os.chdir(r"C:\Users\lenovo\Desktop\python\jiqixuexi\face\chulihou")
    cv2.imwrite(fileName,img,[cv2.IMWRITE_JPEG_QUALITY,100])





img = cv2.imread(r"C:\Users\lenovo\Desktop\python\jiqixuexi\face\chulihou\image1.jpg")

imgInfo = img.shape

size = (imgInfo[1],imgInfo[0])

print(size)

os.chdir(r"C:\Users\lenovo\Desktop\python\jiqixuexi\face\chulihou")

videoWrite = cv2.VideoWriter("2.mp4",-1,24,size)
#  文件名   ，  编码器   ，帧率   ，  图片大小

for n in range(1,2424):
    fileName = "image" + str(n) + ".jpg"
    print(fileName)
    img = cv2.imread(fileName)
    videoWrite.write(img)
print("end!")

处理效果：