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/tests_common.py

@@ -0,0 +1,108 @@
+#!/usr/bin/env python
+
+from __future__ import print_function
+
+import os
+import sys
+import unittest
+import hashlib
+import random
+import argparse
+
+import numpy as np
+#sys.OpenCV_LOADER_DEBUG = True
+import cv2 as cv
+
+# Python 3 moved urlopen to urllib.requests
+try:
+    from urllib.request import urlopen
+except ImportError:
+    from urllib import urlopen
+
+class NewOpenCVTests(unittest.TestCase):
+
+    # path to local repository folder containing 'samples' folder
+    repoPath = None
+    extraTestDataPath = None
+    # github repository url
+    repoUrl = 'https://raw.github.com/opencv/opencv/master'
+
+    def find_file(self, filename, searchPaths=[], required=True):
+        searchPaths = searchPaths if searchPaths else [self.repoPath, self.extraTestDataPath]
+        for path in searchPaths:
+            if path is not None:
+                candidate = path + '/' + filename
+                if os.path.isfile(candidate):
+                    return candidate
+        if required:
+            self.fail('File ' + filename + ' not found')
+        return None
+
+
+    def get_sample(self, filename, iscolor = None):
+        if iscolor is None:
+            iscolor = cv.IMREAD_COLOR
+        if not filename in self.image_cache:
+            filepath = self.find_file(filename)
+            with open(filepath, 'rb') as f:
+                filedata = f.read()
+            self.image_cache[filename] = cv.imdecode(np.fromstring(filedata, dtype=np.uint8), iscolor)
+        return self.image_cache[filename]
+
+    def setUp(self):
+        cv.setRNGSeed(10)
+        self.image_cache = {}
+
+    def hashimg(self, im):
+        """ Compute a hash for an image, useful for image comparisons """
+        return hashlib.md5(im.tostring()).hexdigest()
+
+    if sys.version_info[:2] == (2, 6):
+        def assertLess(self, a, b, msg=None):
+            if not a < b:
+                self.fail('%s not less than %s' % (repr(a), repr(b)))
+
+        def assertLessEqual(self, a, b, msg=None):
+            if not a <= b:
+                self.fail('%s not less than or equal to %s' % (repr(a), repr(b)))
+
+        def assertGreater(self, a, b, msg=None):
+            if not a > b:
+                self.fail('%s not greater than %s' % (repr(a), repr(b)))
+
+    @staticmethod
+    def bootstrap():
+        parser = argparse.ArgumentParser(description='run OpenCV python tests')
+        parser.add_argument('--repo', help='use sample image files from local git repository (path to folder), '
+                                           'if not set, samples will be downloaded from github.com')
+        parser.add_argument('--data', help='<not used> use data files from local folder (path to folder), '
+                                            'if not set, data files will be downloaded from docs.opencv.org')
+        args, other = parser.parse_known_args()
+        print("Testing OpenCV", cv.__version__)
+        print("Local repo path:", args.repo)
+        NewOpenCVTests.repoPath = args.repo
+        try:
+            NewOpenCVTests.extraTestDataPath = os.environ['OPENCV_TEST_DATA_PATH']
+        except KeyError:
+            print('Missing opencv extra repository. Some of tests may fail.')
+        random.seed(0)
+        unit_argv = [sys.argv[0]] + other
+        unittest.main(argv=unit_argv)
+
+
+def intersectionRate(s1, s2):
+
+    x1, y1, x2, y2 = s1
+    s1 = np.array([[x1, y1], [x2,y1], [x2, y2], [x1, y2]])
+
+    x1, y1, x2, y2 = s2
+    s2 = np.array([[x1, y1], [x2,y1], [x2, y2], [x1, y2]])
+
+    area, _intersection = cv.intersectConvexConvex(s1, s2)
+    return 2 * area / (cv.contourArea(s1) + cv.contourArea(s2))
+
+def isPointInRect(p, rect):
+    if rect[0] <= p[0] and rect[1] <=p[1] and p[0] <= rect[2] and p[1] <= rect[3]:
+        return True
+    else:
+        return False