Open Source Computer Vision Library https://opencv.org/
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#ifndef IMAGE_POOL_H
#define IMAGE_POOL_H
#include <opencv2/core/core.hpp>
#include <jni.h>
#include <map>
using namespace cv;
#ifdef __cplusplus
extern "C" {
#endif
//
//JNIEXPORT jobject JNICALL Java_com_opencv_jni_opencvJNI_getBitmapBuffer(
// JNIEnv *jenv, jclass jcls, jlong jarg1, jobject jarg1_);
JNIEXPORT void JNICALL Java_com_opencv_jni_opencvJNI_addYUVtoPool
(JNIEnv *, jclass, jlong, jobject, jbyteArray, jint, jint, jint, jboolean);
#ifdef __cplusplus
}
#endif
//bool yuv2mat2(char *data, int size, int width, int height, bool grey, Mat& mat);
class image_pool {
std::map<int, Ptr< Mat> > imagesmap;
std::map<int, Ptr< Mat> > yuvImagesMap;
//uchar * mbuffer;
//int length;
public:
image_pool();
~image_pool();
cv::Ptr<Mat> getImage(int i);
void getGrey(int i, Mat & grey);
cv::Ptr<Mat> getYUV(int i);
int getCount(){
return imagesmap.size();
}
void addImage(int i, Ptr< Mat> mat);
/** this function stores the given matrix in the the yuvImagesMap. Also,
* after this call getGrey will work, as the grey image is just the top
* half of the YUV mat.
*
* \param i index to store yuv image at
* \param mat the yuv matrix to store
*/
void addYUVMat(int i, Ptr< Mat> mat);
int addYUV(uchar* buffer, int size, int width, int height, bool grey,int idx);
void getBitmap(int * outintarray, int size, int idx);
};
#endif