OpenCV Python QueryFrame函数泄漏内存 [英] OpenCV Python QueryFrame function leaks memory

问题描述

我正在将Python接口用于OpenCV 2.2.0.下面的代码可以正确地从视频文件中抓取帧:

I'm using the Python interface for OpenCV 2.2.0. The following code works correctly for grabbing frames from a video file:

for f in range(1, frameCount):
    # grab the left and right frames
    frameL = cv.QueryFrame(videoL)
    frameR = cv.QueryFrame(videoR)
    # create the image for the first frame
    if f==1:
        imageL = cv.CreateImage(cv.GetSize(frameL), frameL.depth, frameL.channels)
        imageR = cv.CreateImage(cv.GetSize(frameR), frameR.depth, frameR.channels)
    # update the images
    cv.Copy(frameL, imageL)
    cv.Copy(frameR, imageR)

但是，随着我处理更多的视频帧，内存消耗不断增加.根据OpenCV文档，我们不需要为cv.QueryFrame获取的图像数据释放内存.这还正确吗?我尝试了"del frameL"和"del frameR"，但是并没有解决问题.这个特定功能的OpenCV的Python包装器中是否存在错误?

However, as I process more video frames, the memory consumption keeps increasing. According to the OpenCV documentation, we don't need to release the memory for the image data obtained by cv.QueryFrame. Is this still correct? I tried "del frameL" and "del frameR", but it didn't solve the problem. Is there a bug in the Python wrapper for OpenCV in this particular function?

谢谢.

推荐答案

您应该为两个图像分配一次内存: imageL = cv.CreateImageHeader(cv.GetSize(frameL)，frameL.depth，frameL.channels) imageR = cv.CreateImageHeader(cv.GetSize(frameR)，frameR.depth，frameR.channels)

You should allocate memory for both images once: imageL = cv.CreateImageHeader(cv.GetSize(frameL), frameL.depth, frameL.channels) imageR = cv.CreateImageHeader(cv.GetSize(frameR), frameR.depth, frameR.channels)

然后开始循环并设置数据:

then begin your loop and set the data:

cv.SetData(frameL, imageL)
cv.SetData(frameR, imageR)

类似

for f in range(1, frameCount):
    # grab the left and right frames
    frameL = cv.QueryFrame(videoL)
    frameR = cv.QueryFrame(videoR)
    # create the image for the first frame
    if f==1:
        imageL = cv.CreateImageHeader(cv.GetSize(frameL), frameL.depth, frameL.channels)
        imageR = cv.CreateImageHeader(cv.GetSize(frameR), frameR.depth, frameR.channels)
    # update the images
    cv.SetData(frameL, imageL)
    cv.SetData(frameR, imageR)

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