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_watershed.py

@@ -0,0 +1,36 @@
+#!/usr/bin/env python
+
+'''
+Watershed segmentation test
+'''
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import numpy as np
+import cv2 as cv
+
+from tests_common import NewOpenCVTests
+
+class watershed_test(NewOpenCVTests):
+    def test_watershed(self):
+
+        img = self.get_sample('cv/inpaint/orig.png')
+        markers = self.get_sample('cv/watershed/wshed_exp.png', 0)
+        refSegments = self.get_sample('cv/watershed/wshed_segments.png')
+
+        if img is None or markers is None:
+            self.assertEqual(0, 1, 'Missing test data')
+
+        colors = np.int32( list(np.ndindex(3, 3, 3)) ) * 122
+        cv.watershed(img, np.int32(markers))
+        segments = colors[np.maximum(markers, 0)]
+
+        if refSegments is None:
+            refSegments = segments.copy()
+            cv.imwrite(self.extraTestDataPath + '/cv/watershed/wshed_segments.png', refSegments)
+
+        self.assertLess(cv.norm(segments - refSegments, cv.NORM_L1) / 255.0, 50)
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()