java調用opencv人臉識別 error insufficient out of memory

OpenCV是一個基於BSD許可（開源）發行的跨平臺計算機視覺庫，能夠運行在Linux、Windows和Mac OS操做系統上。它輕量級並且高效——由一系列 C 函數和少許 C++ 類構成，同時提供了java, Python、Ruby、MATLAB等語言的接口，實現了圖像處理和計算機視覺方面的不少通用算法。

在用java的jni調用opencv時，識別單張圖片沒問題，當圖片數量不少時，報錯

OpenCV Error: Insufficient memory (Failed to allocate 411068927 bytes) in cv::OutOfMemoryError, file opencv\modules\core\src\alloc.cpp, line 52 OpenCV Error: 

​
        System.out.println("\nRunning Template Matching");

        Mat img = Highgui.imread(inFile);
        Mat templ = Highgui.imread(templateFile);

        // / Create the result matrix
        int result_cols = img.cols() - templ.cols() + 1;
        int result_rows = img.rows() - templ.rows() + 1;
        Mat result = new Mat(result_rows, result_cols, CvType.CV_64FC1);

        // / Do the Matching and Normalize
        Imgproc.matchTemplate(img, templ, result, match_method);
        Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());

        // / Localizing the best match with minMaxLoc
        MinMaxLocResult mmr = Core.minMaxLoc(result);

        Point matchLoc;
        if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
            matchLoc = mmr.minLoc;
        } else {
            matchLoc = mmr.maxLoc;
        }
        
        
        // / Show me what you got
        Core.rectangle(img, matchLoc, new Point(matchLoc.x + templ.cols(),
                matchLoc.y + templ.rows()), new Scalar(0, 255, 0));

        // Save the visualized detection.
        System.out.println("Writing "+ outFile);
        Highgui.imwrite(outFile, img);

​

jni調用native的c++方法是內存溢出，原來是沒釋放對象。顯示調用：

img.release();

templ.release();
 result.release();

解決。c++就是麻煩，主動釋放引用的對象。