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/laplace.py

@@ -0,0 +1,69 @@
+#!/usr/bin/env python
+
+'''
+    This program demonstrates Laplace point/edge detection using
+    OpenCV function Laplacian()
+    It captures from the camera of your choice: 0, 1, ... default 0
+    Usage:
+        python laplace.py <ddepth> <smoothType> <sigma>
+        If no arguments given default arguments will be used.
+
+    Keyboard Shortcuts:
+    Press space bar to exit the program.
+    '''
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import numpy as np
+import cv2 as cv
+import sys
+
+def main():
+    # Declare the variables we are going to use
+    ddepth = cv.CV_16S
+    smoothType = "MedianBlur"
+    sigma = 3
+    if len(sys.argv)==4:
+        ddepth = sys.argv[1]
+        smoothType = sys.argv[2]
+        sigma = sys.argv[3]
+    # Taking input from the camera
+    cap=cv.VideoCapture(0)
+    # Create Window and Trackbar
+    cv.namedWindow("Laplace of Image", cv.WINDOW_AUTOSIZE)
+    cv.createTrackbar("Kernel Size Bar", "Laplace of Image", sigma, 15, lambda x:x)
+    # Printing frame width, height and FPS
+    print("=="*40)
+    print("Frame Width: ", cap.get(cv.CAP_PROP_FRAME_WIDTH), "Frame Height: ", cap.get(cv.CAP_PROP_FRAME_HEIGHT), "FPS: ", cap.get(cv.CAP_PROP_FPS))
+    while True:
+        # Reading input from the camera
+        ret, frame = cap.read()
+        if ret == False:
+            print("Can't open camera/video stream")
+            break
+        # Taking input/position from the trackbar
+        sigma = cv.getTrackbarPos("Kernel Size Bar", "Laplace of Image")
+        # Setting kernel size
+        ksize = (sigma*5)|1
+        # Removing noise by blurring with a filter
+        if smoothType == "GAUSSIAN":
+            smoothed = cv.GaussianBlur(frame, (ksize, ksize), sigma, sigma)
+        if smoothType == "BLUR":
+            smoothed = cv.blur(frame, (ksize, ksize))
+        if smoothType == "MedianBlur":
+            smoothed = cv.medianBlur(frame, ksize)
+
+        # Apply Laplace function
+        laplace = cv.Laplacian(smoothed, ddepth, 5)
+        # Converting back to uint8
+        result = cv.convertScaleAbs(laplace, (sigma+1)*0.25)
+        # Display Output
+        cv.imshow("Laplace of Image", result)
+        k = cv.waitKey(30)
+        if k == 27:
+            return
+if __name__ == "__main__":
+    print(__doc__)
+    main()
+    cv.destroyAllWindows()