我正在使用树莓派捕捉视频的前 20 帧。现在这更像是一个概念问题,但是在浏览 videoCapture 上的 openCV 文档时,他们强调了在此代码中发布捕获的重要性(如他们网站上发布的那样):
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
cap.release()
的重要性是什么?忽略这一行是否对内存有影响?如果是,它们是什么,为什么?
最佳答案
当您调用 cap.release()
时,则:
- 发布软件资源
- 释放硬件资源
在调用 cap.release()
之前,您可以尝试创建另一个实例 cap2 = cv2.VideoCapture(0)
。
cap = cv2.VideoCapture(0)
#cap.release()
cap2 = cv2.VideoCapture(0)
因为你还没有释放相机设备资源,那么它会引发错误,如Device or resource busy
,导致引发OpenCV Exception。
libv4l2: error setting pixformat: Device or resource busy
VIDEOIO ERROR: libv4l unable to ioctl S_FMT
libv4l2: error setting pixformat: Device or resource busy
libv4l1: error setting pixformat: Device or resource busy
VIDEOIO ERROR: libv4l unable to ioctl VIDIOCSPICT
libv4l2: error setting pixformat: Device or resource busy
OpenCV Error: Unspecified error (GStreamer: unable to start pipeline
) in cvCaptureFromCAM_GStreamer, file /home/xxx/Programs/OpenCV/src/opencv-master/modules/videoio/src/cap_gstreamer.cpp, line 887
VIDEOIO(cvCreateCapture_GStreamer(CV_CAP_GSTREAMER_V4L2, reinterpret_cast<char *>(index))): raised OpenCV exception:
/home/xxx/Programs/OpenCV/src/opencv-master/modules/videoio/src/cap_gstreamer.cpp:887: error: (-2) GStreamer: unable to start pipeline
in function cvCaptureFromCAM_GStreamer
关于python - cv2.videoCapture.release() 是什么意思?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48213499/