以下是用于从视频(.mp4(中检测人脸的代码。我需要检测人脸并将其保存为图像。
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()
它在声明中失败video_capture.isOpened()
我尝试通过给出相对路径仍然失败?
我将opencv_ffmpeg300.dll复制到 c://python2.7 文件夹中后,问题已解决
仅供参考:
以下是将检测到的人脸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