C++ 从CIImage创建垫子的最佳方法?

C++ 从CIImage创建垫子的最佳方法?,c++,xcode,macos,opencv,opencv3.0,C++,Xcode,Macos,Opencv,Opencv3.0,我使用CIDetector来检测人脸,然后在每个人脸的下半部分使用OpenCV来检测任何笑容的大小。我正在使用下面的代码创建cv::mat,OpenCV可以对其执行检测,因为您可以看到该图像经过了以下步骤CIImage->crapped CIImage->NSBitmapImage->CGImage->cv::mat - (void)OpenCVdetectSmilesIn:(CIFaceFeature *)faceFeature usingImage:ciFrameImage { CG

我使用CIDetector来检测人脸,然后在每个人脸的下半部分使用OpenCV来检测任何笑容的大小。我正在使用下面的代码创建cv::mat,OpenCV可以对其执行检测,因为您可以看到该图像经过了以下步骤
CIImage
->
crapped CIImage
->
NSBitmapImage
->
CGImage
->
cv::mat

- (void)OpenCVdetectSmilesIn:(CIFaceFeature *)faceFeature usingImage:ciFrameImage
{
    CGRect lowerFaceRectFull = faceFeature.bounds;
    lowerFaceRectFull.size.height *=0.5;
    CIImage *lowerFaceImageFull = [ciFrameImage imageByCroppingToRect:lowerFaceRectFull];


    NSBitmapImageRep* rep = [[[NSBitmapImageRep alloc] initWithCIImage:lowerFaceImageFull] autorelease];
    CGImage *lowerFaceImageFullCG = rep.CGImage;
    //TODO: find alternative method of creating cv::mat from ciFrameImage.

    std::vector<cv::Rect> smileObjects;
    cv::Mat frame_gray;
    CGColorSpaceRef colorSpace = CGImageGetColorSpace(lowerFaceImageFullCG);
    CGFloat cols = lowerFaceRectFull.size.width;
    CGFloat rows = lowerFaceRectFull.size.height;
    cv::Mat cvMat(rows, cols, CV_8UC4); // 8 bits per component, 4 channels

    CGContextRef contextRef = CGBitmapContextCreate(cvMat.data,                 // Pointer to backing data
                                                    cols,                      // Width of bitmap
                                                    rows,                     // Height of bitmap
                                                    8,                          // Bits per component
                                                    cvMat.step[0],              // Bytes per row
                                                    colorSpace,                 // Colorspace
                                                    kCGImageAlphaNoneSkipLast |
                                                    kCGBitmapByteOrderDefault); // Bitmap info flags

    CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), lowerFaceImageFullCG);
    CGContextRelease(contextRef);

    cvtColor( cvMat, frame_gray, CV_BGR2GRAY );
    equalizeHist( frame_gray, frame_gray );

    smileCascade.detectMultiScale( frame_gray, smileObjects, 1.1, 0, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(30, 30) );

找到一个解决方案来消除崩溃:使用
createCGImage:fromRect
跳过
NSBitmapImageRef
步骤:

- (void)OpenCVdetectSmilesIn:(CIFaceFeature *)faceFeature usingImage:ciFrameImage
{
    CGRect lowerFaceRectFull = faceFeature.bounds;
    lowerFaceRectFull.size.height *=0.5;
    CIImage *lowerFaceImageFull = [ciFrameImage imageByCroppingToRect:lowerFaceRectFull];

    // Create the context and instruct CoreImage to draw the output image recipe into a CGImage
    if( self.context == nil ) {
    self.context = [CIContext contextWithCGContext:nil options: nil];
    }
    CGImageRef lowerFaceImageFullCG = [_context createCGImage:lowerFaceImageFull fromRect:lowerFaceRectFull];
确保

    CGImageRelease(lowerFaceImageFullCG);

完成后。

如果您能在答案中共享将CGImageRef转换为cv::Mat的代码,那就太好了
    CGImageRelease(lowerFaceImageFullCG);