deepin-ocr/3rdparty/opencv-4.5.4/modules/java/generator/templates/cpp_module.template
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

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//
// This file is auto-generated. Please don't modify it!
//
#undef LOG_TAG
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_$M
#include <string>
#include "opencv2/$m.hpp"
$includes
#define LOG_TAG "org.opencv.$m"
#include "common.h"
using namespace cv;
/// throw java exception
#undef throwJavaException
#define throwJavaException throwJavaException_$m
static void throwJavaException(JNIEnv *env, const std::exception *e, const char *method) {
std::string what = "unknown exception";
jclass je = 0;
if(e) {
std::string exception_type = "std::exception";
if(dynamic_cast<const cv::Exception*>(e)) {
exception_type = "cv::Exception";
je = env->FindClass("org/opencv/core/CvException");
}
what = exception_type + ": " + e->what();
}
if(!je) je = env->FindClass("java/lang/Exception");
env->ThrowNew(je, what.c_str());
LOGE("%s caught %s", method, what.c_str());
(void)method; // avoid "unused" warning
}
extern "C" {
$code
} // extern "C"
#endif // HAVE_OPENCV_$M