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/calib3d/misc/python/test/test_solvepnp.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import numpy as np
+import cv2 as cv
+
+from tests_common import NewOpenCVTests
+
+class solvepnp_test(NewOpenCVTests):
+
+    def test_regression_16040(self):
+        obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32)
+        img_points = np.array(
+            [[700, 400], [700, 600], [900, 600], [900, 400]], dtype=np.float32
+        )
+
+        cameraMatrix = np.array(
+            [[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32
+        )
+        distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32)
+        r = np.array([], dtype=np.float32)
+        x, r, t, e = cv.solvePnPGeneric(
+            obj_points, img_points, cameraMatrix, distCoeffs, reprojectionError=r
+        )
+
+    def test_regression_16040_2(self):
+        obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32)
+        img_points = np.array(
+            [[[700, 400], [700, 600], [900, 600], [900, 400]]], dtype=np.float32
+        )
+
+        cameraMatrix = np.array(
+            [[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32
+        )
+        distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32)
+        r = np.array([], dtype=np.float32)
+        x, r, t, e = cv.solvePnPGeneric(
+            obj_points, img_points, cameraMatrix, distCoeffs, reprojectionError=r
+        )
+
+    def test_regression_16049(self):
+        obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32)
+        img_points = np.array(
+            [[[700, 400], [700, 600], [900, 600], [900, 400]]], dtype=np.float32
+        )
+
+        cameraMatrix = np.array(
+            [[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32
+        )
+        distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32)
+        x, r, t, e = cv.solvePnPGeneric(
+            obj_points, img_points, cameraMatrix, distCoeffs
+        )
+        if e is None:
+            # noArray() is supported, see https://github.com/opencv/opencv/issues/16049
+            pass
+        else:
+            eDump = cv.utils.dumpInputArray(e)
+            self.assertEqual(eDump, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=1 dims(-1)=2 size(-1)=1x1 type(-1)=CV_32FC1")
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()