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/python/test/test_cuda.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python
+
+'''
+CUDA-accelerated Computer Vision functions
+'''
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import numpy as np
+import cv2 as cv
+import os
+
+from tests_common import NewOpenCVTests, unittest
+
+class cuda_test(NewOpenCVTests):
+    def setUp(self):
+        super(cuda_test, self).setUp()
+        if not cv.cuda.getCudaEnabledDeviceCount():
+            self.skipTest("No CUDA-capable device is detected")
+
+    def test_cuda_upload_download(self):
+        npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8)
+        cuMat = cv.cuda_GpuMat()
+        cuMat.upload(npMat)
+
+        self.assertTrue(np.allclose(cuMat.download(), npMat))
+
+    def test_cuda_upload_download_stream(self):
+        stream = cv.cuda_Stream()
+        npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8)
+        cuMat = cv.cuda_GpuMat(128,128, cv.CV_8UC3)
+        cuMat.upload(npMat, stream)
+        npMat2 = cuMat.download(stream=stream)
+        stream.waitForCompletion()
+        self.assertTrue(np.allclose(npMat2, npMat))
+
+    def test_cuda_interop(self):
+        npMat = (np.random.random((128, 128, 3)) * 255).astype(np.uint8)
+        cuMat = cv.cuda_GpuMat()
+        cuMat.upload(npMat)
+        self.assertTrue(cuMat.cudaPtr() != 0)
+        stream = cv.cuda_Stream()
+        self.assertTrue(stream.cudaPtr() != 0)
+        asyncstream = cv.cuda_Stream(1)  # cudaStreamNonBlocking
+        self.assertTrue(asyncstream.cudaPtr() != 0)
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()