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/samples/python/tutorial_code/ImgTrans/LaPlace/laplace_demo.py

@@ -0,0 +1,59 @@
+"""
+@file laplace_demo.py
+@brief Sample code showing how to detect edges using the Laplace operator
+"""
+import sys
+import cv2 as cv
+
+def main(argv):
+    # [variables]
+    # Declare the variables we are going to use
+    ddepth = cv.CV_16S
+    kernel_size = 3
+    window_name = "Laplace Demo"
+    # [variables]
+
+    # [load]
+    imageName = argv[0] if len(argv) > 0 else 'lena.jpg'
+
+    src = cv.imread(cv.samples.findFile(imageName), cv.IMREAD_COLOR) # Load an image
+
+    # Check if image is loaded fine
+    if src is None:
+        print ('Error opening image')
+        print ('Program Arguments: [image_name -- default lena.jpg]')
+        return -1
+    # [load]
+
+    # [reduce_noise]
+    # Remove noise by blurring with a Gaussian filter
+    src = cv.GaussianBlur(src, (3, 3), 0)
+    # [reduce_noise]
+
+    # [convert_to_gray]
+    # Convert the image to grayscale
+    src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
+    # [convert_to_gray]
+
+    # Create Window
+    cv.namedWindow(window_name, cv.WINDOW_AUTOSIZE)
+
+    # [laplacian]
+    # Apply Laplace function
+    dst = cv.Laplacian(src_gray, ddepth, ksize=kernel_size)
+    # [laplacian]
+
+    # [convert]
+    # converting back to uint8
+    abs_dst = cv.convertScaleAbs(dst)
+    # [convert]
+
+    # [display]
+    cv.imshow(window_name, abs_dst)
+    cv.waitKey(0)
+    # [display]
+
+    return 0
+
+if __name__ == "__main__":
+    main(sys.argv[1:])