Question

以下是用于从视频中检测面部的代码（.mp4）。我需要检测脸部并将其保存为图像。

import cv2
import sys

cascPath = 'haarcascade_frontalface_default.xml'
faceCascade = cv2.CascadeClassifier(cascPath)

video_capture = cv2.VideoCapture('sample.mp4')

while(video_capture.isOpened()):

# Capture frame-by-frame
ret, frame = video_capture.read()

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

faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30),
    flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow('Video', frame)

if cv2.waitKey(1) & 0xFF == ord('q'):
    break

video_capture.release()

声明video_capture.isOpened()

失败了

我试过通过给予相对路径仍然失败了吗？

Answer 1

将 opencv_ffmpeg300.dll 复制到c：//python2.7文件夹后问题得以解决

供参考：

以下将检测到的面部保存为单独图像的代码片段

crop_img = frame[y:y+h,x:x+w]
cv2.imwrite('E://vijay//frames//frame%d.jpg' %count, crop_img)
count += 1

无法检测视频中的人脸并将其另存为图像

1 个答案: