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/stitching/misc/python/test/test_stitching.py

@@ -0,0 +1,119 @@
+#!/usr/bin/env python
+import cv2 as cv
+
+from tests_common import NewOpenCVTests
+
+class stitching_test(NewOpenCVTests):
+
+    def test_simple(self):
+
+        img1 = self.get_sample('stitching/a1.png')
+        img2 = self.get_sample('stitching/a2.png')
+
+        stitcher = cv.Stitcher.create(cv.Stitcher_PANORAMA)
+        (_result, pano) = stitcher.stitch((img1, img2))
+
+        #cv.imshow("pano", pano)
+        #cv.waitKey()
+
+        self.assertAlmostEqual(pano.shape[0], 685, delta=100, msg="rows: %r" % list(pano.shape))
+        self.assertAlmostEqual(pano.shape[1], 1025, delta=100, msg="cols: %r" % list(pano.shape))
+
+
+class stitching_detail_test(NewOpenCVTests):
+
+    def test_simple(self):
+        img = self.get_sample('stitching/a1.png')
+        finder= cv.ORB.create()
+        imgFea = cv.detail.computeImageFeatures2(finder,img)
+        self.assertIsNotNone(imgFea)
+
+        matcher = cv.detail_BestOf2NearestMatcher(False, 0.3)
+        self.assertIsNotNone(matcher)
+        matcher = cv.detail_AffineBestOf2NearestMatcher(False, False, 0.3)
+        self.assertIsNotNone(matcher)
+        matcher = cv.detail_BestOf2NearestRangeMatcher(2, False, 0.3)
+        self.assertIsNotNone(matcher)
+        estimator = cv.detail_AffineBasedEstimator()
+        self.assertIsNotNone(estimator)
+        estimator = cv.detail_HomographyBasedEstimator()
+        self.assertIsNotNone(estimator)
+
+        adjuster = cv.detail_BundleAdjusterReproj()
+        self.assertIsNotNone(adjuster)
+        adjuster = cv.detail_BundleAdjusterRay()
+        self.assertIsNotNone(adjuster)
+        adjuster = cv.detail_BundleAdjusterAffinePartial()
+        self.assertIsNotNone(adjuster)
+        adjuster = cv.detail_NoBundleAdjuster()
+        self.assertIsNotNone(adjuster)
+
+        compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_NO)
+        self.assertIsNotNone(compensator)
+        compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_GAIN)
+        self.assertIsNotNone(compensator)
+        compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_GAIN_BLOCKS)
+        self.assertIsNotNone(compensator)
+
+        seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_NO)
+        self.assertIsNotNone(seam_finder)
+        seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_NO)
+        self.assertIsNotNone(seam_finder)
+        seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_VORONOI_SEAM)
+        self.assertIsNotNone(seam_finder)
+
+        seam_finder = cv.detail_GraphCutSeamFinder("COST_COLOR")
+        self.assertIsNotNone(seam_finder)
+        seam_finder = cv.detail_GraphCutSeamFinder("COST_COLOR_GRAD")
+        self.assertIsNotNone(seam_finder)
+        seam_finder = cv.detail_DpSeamFinder("COLOR")
+        self.assertIsNotNone(seam_finder)
+        seam_finder = cv.detail_DpSeamFinder("COLOR_GRAD")
+        self.assertIsNotNone(seam_finder)
+
+        blender = cv.detail.Blender_createDefault(cv.detail.Blender_NO)
+        self.assertIsNotNone(blender)
+        blender = cv.detail.Blender_createDefault(cv.detail.Blender_FEATHER)
+        self.assertIsNotNone(blender)
+        blender = cv.detail.Blender_createDefault(cv.detail.Blender_MULTI_BAND)
+        self.assertIsNotNone(blender)
+
+        timelapser = cv.detail.Timelapser_createDefault(cv.detail.Timelapser_AS_IS);
+        self.assertIsNotNone(timelapser)
+        timelapser = cv.detail.Timelapser_createDefault(cv.detail.Timelapser_CROP);
+        self.assertIsNotNone(timelapser)
+
+
+class stitching_compose_panorama_test_no_args(NewOpenCVTests):
+
+    def test_simple(self):
+
+        img1 = self.get_sample('stitching/a1.png')
+        img2 = self.get_sample('stitching/a2.png')
+
+        stitcher = cv.Stitcher.create(cv.Stitcher_PANORAMA)
+
+        stitcher.estimateTransform((img1, img2))
+
+        result, _ = stitcher.composePanorama()
+
+        assert result == 0
+
+
+class stitching_compose_panorama_args(NewOpenCVTests):
+
+    def test_simple(self):
+
+        img1 = self.get_sample('stitching/a1.png')
+        img2 = self.get_sample('stitching/a2.png')
+
+        stitcher = cv.Stitcher.create(cv.Stitcher_PANORAMA)
+
+        stitcher.estimateTransform((img1, img2))
+        result, _ = stitcher.composePanorama((img1, img2))
+
+        assert result == 0
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()