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/dnn/src/cuda4dnn/kernels/max_unpooling.hpp

@@ -0,0 +1,32 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+
+#ifndef OPENCV_DNN_SRC_CUDA4DNN_KERNELS_MAX_UNPOOLING_HPP
+#define OPENCV_DNN_SRC_CUDA4DNN_KERNELS_MAX_UNPOOLING_HPP
+
+#include "../csl/stream.hpp"
+#include "../csl/tensor.hpp"
+
+#include <cstddef>
+#include <vector>
+
+namespace cv { namespace dnn { namespace cuda4dnn { namespace kernels {
+
+    template <class T>
+    void max_pooling_with_indices(
+        const csl::Stream& stream,
+        csl::TensorSpan<T> output, csl::TensorSpan<T> indices, csl::TensorView<T> input,
+        const std::vector<std::size_t>& kernel_size, const std::vector<std::size_t>& strides,
+        const std::vector<std::size_t>& padding_left);
+
+    template <class T>
+    void max_unpooling(
+        const csl::Stream& stream,
+        csl::TensorSpan<T> output, csl::TensorView<T> input, csl::TensorView<T> indices,
+        const std::vector<std::size_t>& window_size, const std::vector<std::size_t>& strides,
+        const std::vector<std::size_t>& padding_left);
+
+}}}} /* namespace cv::dnn::cuda4dnn::kernels */
+
+#endif /* OPENCV_DNN_SRC_CUDA4DNN_KERNELS_MAX_UNPOOLING_HPP */