Vs configure tensorrt environment to use

Install the Nvidia driver (same as before)
2. Install the CUDA10 version, do not select Compact, select Custom and then select All.
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> Make sure you have CUDA installed and don’t continue without it.
②. Create a new project – select nvidia-cuda xx, select your name and define your path.
③. Remove the kernel.cu file and add your own CPP, CU, H files.
④. Configuration header file
Conventional – character set for double-byte character or not
c/c + + – general – additional include directories
E: \ opencv300 \ opencv \ build \ include \ opencv2
E: \ opencv300 \ opencv, build, include, opencv
E: \ opencv300, opencv, build, include the
D: \ tensorRTIntegrate \ TensorRT – master \ third_party \ cub
D: \ tensorRTIntegrate \ TensorRT – master \ include
C: \ Program Files \ NVIDIA GPU Computing Toolkit \ CUDA \ v10.0 \ include
D:\ TensorrtIntegrate \ Tensorrt-master \ Plugin
C/C ++ – Secure_No_Warnings
/ C ++ – Preprocessor – Warnings
D:\ TensorrtIntegrate \ Tensorrt-master \ Plugin
C/C ++ – Preprocessor – Warnings

C/C ++ – Precompiled header – Precompiled header – Do not use the precompiled header
CUDA C/C ++ -Common-Additional Include Directories
C: ProgramData\NVIDIA Corporation\CUDA Samples\ V10.0 \ Common \ Inc
DA C/C ++ -Device – Code Generation
te_75, SM_75 Note: Here the numbers are changed based on the graphics card power, the GPU2080/2080TI power is 75.
linker
– general – additional libraries directory E: \ opencv300 \ opencv, build, x64, vc12 \ lib
D: \ tensorRTIntegrate \ lean \ cuda10.0 \ lib
C: \ Program Files \ NVIDIA GPU Computing Toolkit \ CUDA \ v10.0 \ lib \ x64
D:\tensorRTIntegrate\lean\ tensorrt-6.0.1.5 \lib
Linker
dadevrt.lib
c>t.lib
cudart_>ic.lib
cudnn.libb7 cufft.lib
>ftw.lib
c>t.lib curand.lib
cusolver.lib
cusparse.lib
nppc.lib
nppial.lib
nppicc.lib
nppicom.lib
nppidei.lib
nppif.lib
nppig.lib
nppim.lib
nppist.lib
nppisu.lib
nppitc.lib
npps.lib
nvblas.lib
nvgraph.lib
nvml.lib
nvrtc.lib
OpenCL.lib
nvinfer.lib
nvinfer_plugin.lib
nvonnxparser.lib
nvparsers.lib
opencv_ts300.lib
Opencv_ts300d. lib
opencv_world300.lib
encv_world300d. lib
P> the DLL files of Tnesorrt and the DLL files of OpenCV in the project directory.
Tnesorrt DLL path: D: \ tensorRTIntegrate \ lean \ TensorRT – 6.0.1.5 \ lib DLL file:

nvinfer. DLL
nvinfer_plugin. DLL
nvonnxparser. DLL
nvparsers. DLL
nvserialize. DLL
OPENCV DLL path: E: \ opencv300 \ opencv, build, x64, vc12 \ bin DLL file:

opencv_ffmpeg300_64. DLL
opencv_world300. DLL
opencv_world300d. DLL
configured above, you can compile.


Read More: