Difference between revisions of "CUDA ISP for NVIDIA Jetson/Getting Started/Evaluating the CUDA ISP"

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(→‎Installing BIPS)
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</pre>
 
</pre>
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{{notice|<code>python3.8</code> may vary on the Python version you request.}}
 
  
 
After decompressing the files, please, copy the contents to the target machine:
 
After decompressing the files, please, copy the contents to the target machine:
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</syntaxhighlight>
 
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If you don't want to install BIPS on your system, you can alternatively set the environment
 
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<syntaxhighlight lang=bash>
 
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export LD_LIBRARY_PATH=`pwd`/usr/local/lib/$(uname -m)-linux-gnu:${LD_LIBRARY_PATH}
 
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export PYTHONPATH=`pwd`/usr/local/lib/python3.8/site-packages:${PYTHONPATH}
 
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</syntaxhighlight>
 
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{{notice|<code>python3.8</code> may vary on the Python version you request.}}
 
  
  

Revision as of 20:30, 27 March 2023


  Index  


CUDA ISP for NVIDIA Jetson
Cudaisp-transparent.png
CUDA ISP for NVIDIA Jetson Basics
Getting Started
User Manual
GStreamer
Examples
Performance
Contact Us




Installing BIPS

RidgeRun will provide you with a tarball with the following contents: 


└── usr
    └── local
        ├── include
        │   └── libcudaisp
        │       ├── buffer.hpp
        │       ├── colorspaceparams.hpp
        │       ├── debayerparams.hpp
        │       ├── ialgorithm.hpp
        │       ├── ibackend.hpp
        │       ├── ilogger.hpp
        │       ├── iparams.hpp
        │       ├── isettings.hpp
        │       ├── isp.hpp
        │       └── shiftparams.hpp
        ├── lib
            └── aarch64-linux-gnu
                ├── gstreamer-1.0
                │   └── libgstcudaisp.so
                └── libcudaisp.so

After decompressing the files, please, copy the contents to the target machine: 

sudo cp -r usr/local/* /usr/local/














  Index  



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