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/gabor_threads.py

@@ -0,0 +1,82 @@
+#!/usr/bin/env python
+
+'''
+gabor_threads.py
+=========
+
+Sample demonstrates:
+- use of multiple Gabor filter convolutions to get Fractalius-like image effect (http://www.redfieldplugins.com/filterFractalius.htm)
+- use of python threading to accelerate the computation
+
+Usage
+-----
+gabor_threads.py [image filename]
+
+'''
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import numpy as np
+import cv2 as cv
+
+from multiprocessing.pool import ThreadPool
+
+
+def build_filters():
+    filters = []
+    ksize = 31
+    for theta in np.arange(0, np.pi, np.pi / 16):
+        kern = cv.getGaborKernel((ksize, ksize), 4.0, theta, 10.0, 0.5, 0, ktype=cv.CV_32F)
+        kern /= 1.5*kern.sum()
+        filters.append(kern)
+    return filters
+
+def process(img, filters):
+    accum = np.zeros_like(img)
+    for kern in filters:
+        fimg = cv.filter2D(img, cv.CV_8UC3, kern)
+        np.maximum(accum, fimg, accum)
+    return accum
+
+def process_threaded(img, filters, threadn = 8):
+    accum = np.zeros_like(img)
+    def f(kern):
+        return cv.filter2D(img, cv.CV_8UC3, kern)
+    pool = ThreadPool(processes=threadn)
+    for fimg in pool.imap_unordered(f, filters):
+        np.maximum(accum, fimg, accum)
+    return accum
+
+def main():
+    import sys
+    from common import Timer
+
+    try:
+        img_fn = sys.argv[1]
+    except:
+        img_fn = 'baboon.jpg'
+
+    img = cv.imread(cv.samples.findFile(img_fn))
+    if img is None:
+        print('Failed to load image file:', img_fn)
+        sys.exit(1)
+
+    filters = build_filters()
+
+    with Timer('running single-threaded'):
+        res1 = process(img, filters)
+    with Timer('running multi-threaded'):
+        res2 = process_threaded(img, filters)
+
+    print('res1 == res2: ', (res1 == res2).all())
+    cv.imshow('img', img)
+    cv.imshow('result', res2)
+    cv.waitKey()
+    print('Done')
+
+
+if __name__ == '__main__':
+    print(__doc__)
+    main()
+    cv.destroyAllWindows()