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

3rdparty/opencv-4.5.4/modules/java/generator/templates/cpp_module.template

@@ -0,0 +1,52 @@
+//
+// 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