drawItem的这个函数通过循环被多次调用,每次调用它时都会遇到内存泄漏问题。我认为问题是由于resizeImage()函数引起的,但我似乎无法查明问题,这是带有OpenCV库的C ++ \ CLI。
drawItem()
{
imgItem = resizeImage(imgItem, newItemWidth, newItemHeight, false);
imgMask = resizeImage(imgMask, newItemWidth, newItemHeight, false);
cvSetImageROI(image3, cvRect(x1,y1,newItemWidth, newItemHeight));
cvCopy(imgItem, image3, imgMask);
cvResetImageROI(image3);
cvReleaseImage( &imgItem );
cvReleaseImage( &imgMask );
}
IplImage* resizeImage(const IplImage *origImg, int newWidth, int newHeight, bool keepAspectRatio)
{
IplImage *outImg = 0;
int origWidth;
int origHeight;
if (origImg) {
origWidth = origImg->width;
origHeight = origImg->height;
}
if (newWidth <= 0 || newHeight <= 0 || origImg == 0
|| origWidth <= 0 || origHeight <= 0) {
//cerr << "ERROR: Bad desired image size of " << newWidth
// << "x" << newHeight << " in resizeImage().\n";
exit(1);
}
if (keepAspectRatio) {
// Resize the image without changing its aspect ratio,
// by cropping off the edges and enlarging the middle section.
CvRect r;
// input aspect ratio
float origAspect = (origWidth / (float)origHeight);
// output aspect ratio
float newAspect = (newWidth / (float)newHeight);
// crop width to be origHeight * newAspect
if (origAspect > newAspect) {
int tw = (origHeight * newWidth) / newHeight;
r = cvRect((origWidth - tw)/2, 0, tw, origHeight);
}
else { // crop height to be origWidth / newAspect
int th = (origWidth * newHeight) / newWidth;
r = cvRect(0, (origHeight - th)/2, origWidth, th);
}
IplImage *croppedImg = cropImage(origImg, r);
// Call this function again, with the new aspect ratio image.
// Will do a scaled image resize with the correct aspect ratio.
outImg = resizeImage(croppedImg, newWidth, newHeight, false);
cvReleaseImage( &croppedImg );
}
else {
// Scale the image to the new dimensions,
// even if the aspect ratio will be changed.
outImg = cvCreateImage(cvSize(newWidth, newHeight),
origImg->depth, origImg->nChannels);
if (newWidth > origImg->width && newHeight > origImg->height) {
// Make the image larger
cvResetImageROI((IplImage*)origImg);
// CV_INTER_LINEAR: good at enlarging.
// CV_INTER_CUBIC: good at enlarging.
cvResize(origImg, outImg, CV_INTER_LINEAR);
}
else {
// Make the image smaller
cvResetImageROI((IplImage*)origImg);
// CV_INTER_AREA: good at shrinking (decimation) only.
cvResize(origImg, outImg, CV_INTER_AREA);
}
}
return outImg;
}
IplImage* cropImage(const IplImage *img, const CvRect region)
{
IplImage *imageCropped;
CvSize size;
if (img->width <= 0 || img->height <= 0
|| region.width <= 0 || region.height <= 0) {
//cerr << "ERROR in cropImage(): invalid dimensions." << endl;
exit(1);
}
if (img->depth != IPL_DEPTH_8U) {
//cerr << "ERROR in cropImage(): image depth is not 8." << endl;
exit(1);
}
// Set the desired region of interest.
cvSetImageROI((IplImage*)img, region);
// Copy region of interest into a new iplImage and return it.
size.width = region.width;
size.height = region.height;
imageCropped = cvCreateImage(size, IPL_DEPTH_8U, img->nChannels);
cvCopy(img, imageCropped); // Copy just the region.
return imageCropped;
}
答案 0 :(得分:3)
我发现了问题,这是由多个内存分配造成的。
imgItem早先指出了一些事情,但在我做完之后 imgItem = resizeImage(imgItem,newItemWidth,newItemHeight,false);imgItem现在指向另一件事,创建imgItem时创建的内存永远丢失,没有变量指向它,因此内存泄漏。
所以我使用tempImgItem来解决问题,
tempImgItem = resizeImage(imgItem, newItemWidth, newItemHeight, false);
tempImgMask = resizeImage(imgMask, newItemWidth, newItemHeight, false);
cvReleaseImage( &imgItem );
cvReleaseImage( &imgMask );
imgItem = tempImgItem;
imgMask = tempImgMask;
tempImgItem = NULL;
tempImgMask = NULL;
答案 1 :(得分:1)
我认为这是因为你自己调用了“resizeImage”,你忘了在里面发布outImage