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pkg-config

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`1`	`1`	`##安装OpenCV后验证`
`2`	`2`
	`3`	`+- pkg-config`
	`4`	+```bash
	`5`	`+pkg-config --modversion opencv`
	`6`	`+3.3.0`
	`7`	+```
	`8`	`+`
`3`	`9`	```python
`4`	`10`	`import cv2`
`5`	`11`	`print(cv2.getBuildInformation())`

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	`1`	`+# 使用CUDA进行GPU加速`
	`2`	`+`
	`3`	`+- 参考`
	`4`	`+ - [Compiling OpenCV with CUDA support](https://www.pyimagesearch.com/2016/07/11/compiling-opencv-with-cuda-support/)`
	`5`	`+ - [CUDA文档](https://opencv.org/platforms/cuda.html)`
	`6`	`+`
	`7`	`+- 验证安装`
	`8`	+```python
	`9`	`+import cv2`
	`10`	`+print(cv2.getBuildInformation())`
	`11`	`+#Use Cuda: YES (ver 8.0)`
	`12`	`+#表示成功`
	`13`	+```
	`14`	`+- 代码C++`
	`15`	+```cython
	`16`	`+#include <iostream>`
	`17`	`+#include "opencv2/opencv.hpp"`
	`18`	`+#include "opencv2/gpu/gpu.hpp"`
	`19`	`+`
	`20`	`+int main (int argc, char* argv[])`
	`21`	`+{`
	`22`	`+ try`
	`23`	`+ {`
	`24`	`+ cv::Mat src_host = cv::imread("file.png", CV_LOAD_IMAGE_GRAYSCALE);`
	`25`	`+ cv::gpu::GpuMat dst, src;`
	`26`	`+ src.upload(src_host);`
	`27`	`+`
	`28`	`+ cv::gpu::threshold(src, dst, 128.0, 255.0, CV_THRESH_BINARY);`
	`29`	`+`
	`30`	`+ cv::Mat result_host;`
	`31`	`+ dst.download(result_host);`
	`32`	`+`
	`33`	`+ cv::imshow("Result", result_host);`
	`34`	`+ cv::waitKey();`
	`35`	`+ }`
	`36`	`+ catch(const cv::Exception& ex)`
	`37`	`+ {`
	`38`	`+ std::cout << "Error: " << ex.what() << std::endl;`
	`39`	`+ }`
	`40`	`+ return 0;`
	`41`	`+}`
	`42`	+```
	`43`	`+- 编译`
	`44`	`+ -`

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