我必须编写一个代码，以便在视频中检测到人脸时对屏幕截图进行截图，以便将图像用于图像识别数据集
我制作了一个捕获所有帧的程序，但是我只需要在检测到脸部时捕获它
import cv2
cap = cv2.VideoCapture('test.mp4')
count = 0
while cap.isOpened():
ret,frame = cap.read()
cv2.imshow('window-name',frame)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.imwrite("frame%d.jpg" % count, frame)
count = count + 1
if cv2.waitKey(10) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows() # destroy all the opened windows
我刚刚尝试了您的代码，它有1个小错误。您没有正确指定XML分类器路径。我使用XML文件所在的完整路径修复了该路径，并成功运行了该路径。
import cv2
import numpy as np
cap = cv2.VideoCapture('test.mp4')
#cap = cv2.VideoCapture(0) # I tried using webcam and works
count = 0
while cap.isOpened():
ret,frame = cap.read()
cv2.imshow('window-name',frame)
# Below you have to insert the full path of XML file, below is mine
face_cascade = cv2.CascadeClassifier('C:/ProgramData/Anaconda2/pkgs/opencv-3.2.0-np111py27_0/Library/etc/haarcascades/haarcascade_frontalface_default.xml')
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.imwrite("frame%d.jpg" % count, frame)
count = count + 1
if cv2.waitKey(10) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows() # destroy all the opened windows
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