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
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3rdparty/opencv-4.5.4/modules/videoio/misc/python/pyopencv_videoio.hpp
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3rdparty/opencv-4.5.4/modules/videoio/misc/python/pyopencv_videoio.hpp
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#ifdef HAVE_OPENCV_VIDEOIO
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typedef std::vector<VideoCaptureAPIs> vector_VideoCaptureAPIs;
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template<> struct pyopencvVecConverter<cv::VideoCaptureAPIs>
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{
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static bool to(PyObject* obj, std::vector<cv::VideoCaptureAPIs>& value, const ArgInfo& info)
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{
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return pyopencv_to_generic_vec(obj, value, info);
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}
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static PyObject* from(const std::vector<cv::VideoCaptureAPIs>& value)
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{
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return pyopencv_from_generic_vec(value);
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}
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};
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template<>
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bool pyopencv_to(PyObject *o, std::vector<cv::VideoCaptureAPIs>& apis, const ArgInfo& info)
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{
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return pyopencvVecConverter<cv::VideoCaptureAPIs>::to(o, apis, info);
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}
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#endif // HAVE_OPENCV_VIDEOIO
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3rdparty/opencv-4.5.4/modules/videoio/misc/python/test/test_videoio.py
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3rdparty/opencv-4.5.4/modules/videoio/misc/python/test/test_videoio.py
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#!/usr/bin/env python
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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from tests_common import NewOpenCVTests
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class Bindings(NewOpenCVTests):
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def check_name(self, name):
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#print(name)
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self.assertFalse(name == None)
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self.assertFalse(name == "")
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def test_registry(self):
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self.check_name(cv.videoio_registry.getBackendName(cv.CAP_ANY));
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self.check_name(cv.videoio_registry.getBackendName(cv.CAP_FFMPEG))
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self.check_name(cv.videoio_registry.getBackendName(cv.CAP_OPENCV_MJPEG))
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backends = cv.videoio_registry.getBackends()
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for backend in backends:
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self.check_name(cv.videoio_registry.getBackendName(backend))
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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