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/core/misc/python/package/mat_wrapper/__init__.py

@@ -0,0 +1,33 @@
+__all__ = []
+
+import sys
+import numpy as np
+import cv2 as cv
+
+# NumPy documentation: https://numpy.org/doc/stable/user/basics.subclassing.html
+
+class Mat(np.ndarray):
+    '''
+    cv.Mat wrapper for numpy array.
+
+    Stores extra metadata information how to interpret and process of numpy array for underlying C++ code.
+    '''
+
+    def __new__(cls, arr, **kwargs):
+        obj = arr.view(Mat)
+        return obj
+
+    def __init__(self, arr, **kwargs):
+        self.wrap_channels = kwargs.pop('wrap_channels', getattr(arr, 'wrap_channels', False))
+        if len(kwargs) > 0:
+            raise TypeError('Unknown parameters: {}'.format(repr(kwargs)))
+
+    def __array_finalize__(self, obj):
+        if obj is None:
+            return
+        self.wrap_channels = getattr(obj, 'wrap_channels', None)
+
+
+Mat.__module__ = cv.__name__
+cv.Mat = Mat
+cv._registerMatType(Mat)

3rdparty/opencv-4.5.4/modules/core/misc/python/package/utils/__init__.py

@@ -0,0 +1,14 @@
+from collections import namedtuple
+
+import cv2
+
+
+NativeMethodPatchedResult = namedtuple("NativeMethodPatchedResult",
+                                       ("py", "native"))
+
+
+def testOverwriteNativeMethod(arg):
+    return NativeMethodPatchedResult(
+        arg + 1,
+        cv2.utils._native.testOverwriteNativeMethod(arg)
+    )

3rdparty/opencv-4.5.4/modules/core/misc/python/pyopencv_async.hpp

@@ -0,0 +1,8 @@
+#ifdef HAVE_OPENCV_CORE
+
+#include "opencv2/core/async.hpp"
+
+CV_PY_TO_CLASS(AsyncArray);
+CV_PY_FROM_CLASS(AsyncArray);
+
+#endif

3rdparty/opencv-4.5.4/modules/core/misc/python/pyopencv_cuda.hpp

@@ -0,0 +1,37 @@
+#ifdef HAVE_OPENCV_CORE
+
+#include "opencv2/core/cuda.hpp"
+
+typedef std::vector<cuda::GpuMat> vector_GpuMat;
+typedef cuda::GpuMat::Allocator GpuMat_Allocator;
+typedef cuda::HostMem::AllocType HostMem_AllocType;
+typedef cuda::Event::CreateFlags Event_CreateFlags;
+
+template<> struct pyopencvVecConverter<cuda::GpuMat>
+{
+    static bool to(PyObject* obj, std::vector<cuda::GpuMat>& value, const ArgInfo& info)
+    {
+        return pyopencv_to_generic_vec(obj, value, info);
+    }
+
+    static PyObject* from(const std::vector<cuda::GpuMat>& value)
+    {
+        return pyopencv_from_generic_vec(value);
+    }
+};
+
+CV_PY_TO_CLASS(cuda::GpuMat);
+CV_PY_TO_CLASS(cuda::Stream);
+CV_PY_TO_CLASS(cuda::Event);
+CV_PY_TO_CLASS(cuda::HostMem);
+
+CV_PY_TO_CLASS_PTR(cuda::GpuMat);
+CV_PY_TO_CLASS_PTR(cuda::GpuMat::Allocator);
+
+CV_PY_FROM_CLASS(cuda::GpuMat);
+CV_PY_FROM_CLASS(cuda::Stream);
+CV_PY_FROM_CLASS(cuda::HostMem);
+
+CV_PY_FROM_CLASS_PTR(cuda::GpuMat::Allocator);
+
+#endif

3rdparty/opencv-4.5.4/modules/core/misc/python/pyopencv_umat.hpp

@@ -0,0 +1,36 @@
+#ifdef HAVE_OPENCV_CORE
+
+#include "opencv2/core/mat.hpp"
+
+typedef std::vector<Range> vector_Range;
+
+CV_PY_TO_CLASS(UMat);
+CV_PY_FROM_CLASS(UMat);
+
+static bool cv_mappable_to(const Ptr<Mat>& src, Ptr<UMat>& dst)
+{
+    //dst.reset(new UMat(src->getUMat(ACCESS_RW)));
+    dst.reset(new UMat());
+    src->copyTo(*dst);
+    return true;
+}
+
+static void* cv_UMat_queue()
+{
+    return cv::ocl::Queue::getDefault().ptr();
+}
+
+static void* cv_UMat_context()
+{
+    return cv::ocl::Context::getDefault().ptr();
+}
+
+static Mat cv_UMat_get(const UMat* _self)
+{
+    Mat m;
+    m.allocator = &g_numpyAllocator;
+    _self->copyTo(m);
+    return m;
+}
+
+#endif

3rdparty/opencv-4.5.4/modules/core/misc/python/shadow_umat.hpp

@@ -0,0 +1,59 @@
+#error This is a shadow header file, which is not intended for processing by any compiler. \
+       Only bindings parser should handle this file.
+
+namespace cv
+{
+
+class CV_EXPORTS_W UMat
+{
+public:
+    //! default constructor
+    CV_WRAP UMat(UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    //! constructs 2D matrix of the specified size and type
+    // (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
+    CV_WRAP UMat(int rows, int cols, int type, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    CV_WRAP UMat(Size size, int type, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    //! constructs 2D matrix and fills it with the specified value _s.
+    CV_WRAP UMat(int rows, int cols, int type, const Scalar& s, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+    CV_WRAP UMat(Size size, int type, const Scalar& s, UMatUsageFlags usageFlags = USAGE_DEFAULT);
+
+    //! Mat is mappable to UMat
+    CV_WRAP_MAPPABLE(Ptr<Mat>);
+
+    //! returns the OpenCL queue used by OpenCV UMat
+    CV_WRAP_PHANTOM(static void* queue());
+
+    //! returns the OpenCL context used by OpenCV UMat
+    CV_WRAP_PHANTOM(static void* context());
+
+    //! copy constructor
+    CV_WRAP UMat(const UMat& m);
+
+    //! creates a matrix header for a part of the bigger matrix
+    CV_WRAP UMat(const UMat& m, const Range& rowRange, const Range& colRange = Range::all());
+    CV_WRAP UMat(const UMat& m, const Rect& roi);
+    CV_WRAP UMat(const UMat& m, const std::vector<Range>& ranges);
+
+    //CV_WRAP_AS(get) Mat getMat(int flags CV_WRAP_DEFAULT(ACCESS_RW)) const;
+    //! returns a numpy matrix
+    CV_WRAP_PHANTOM(Mat get() const);
+
+    //! returns true iff the matrix data is continuous
+    // (i.e. when there are no gaps between successive rows).
+    // similar to CV_IS_MAT_CONT(cvmat->type)
+    CV_WRAP bool isContinuous() const;
+
+    //! returns true if the matrix is a submatrix of another matrix
+    CV_WRAP bool isSubmatrix() const;
+
+    /*! Returns the OpenCL buffer handle on which UMat operates on.
+    The UMat instance should be kept alive during the use of the handle to prevent the buffer to be
+    returned to the OpenCV buffer pool.
+    */
+    CV_WRAP void* handle(AccessFlag accessFlags) const;
+
+    // offset of the submatrix (or 0)
+    CV_PROP_RW size_t offset;
+};
+
+} // namespace cv