Difference between revisions of "CUDA ISP for NVIDIA Jetson/Getting Started/Evaluating the CUDA ISP"
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<th>Professional</th> | <th>Professional</th> | ||
<th>Evaluation</th> | <th>Evaluation</th> | ||
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| + | <td>C++ headers Examples</td> | ||
| + | <td style="background-color:#DAF7A6">Y</td> | ||
| + | <td style="background-color:#DAF7A6">Y</td> | ||
</tr> | </tr> | ||
<tr> | <tr> | ||
| − | <td> | + | <td>CUDA ISP Examples</td> |
<td style="background-color:#DAF7A6">Y</td> | <td style="background-color:#DAF7A6">Y</td> | ||
<td style="background-color:#DAF7A6">Y</td> | <td style="background-color:#DAF7A6">Y</td> | ||
</tr> | </tr> | ||
<tr> | <tr> | ||
| − | <td> | + | <td>GstCUDAISP plugin</td> |
<td style="background-color:#DAF7A6">Y</td> | <td style="background-color:#DAF7A6">Y</td> | ||
<td style="background-color:#DAF7A6">Y</td> | <td style="background-color:#DAF7A6">Y</td> | ||
Revision as of 21:08, 27 March 2023
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| CUDA ISP for NVIDIA Jetson Basics | |
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| Getting Started | |
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| User Manual | |
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| GStreamer | |
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| Examples | |
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| Performance | |
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Requesting the Evaluation Binary
To request an evaluation binary for a specific architecture, don't hesitate to get in touch with us providing the following information:
- Platform (i.e.: TX1, TX2, x86)
- Operating System version, including:
- Kernel version. Use
uname -a - Distribution version.
- Kernel version. Use
- If you are on Jetson:
- Jetpack version
- L4T version
- CUDA and NPP library version
RidgeRun will provide you with the binaries to evaluate BIPS with some limitations
Features of the Evaluation
To help you test our CUDA ISP library, RidgeRun can provide an evaluation version of the plug-in.
The following table summarizes the features available in both the professional and evaluation version of CUDA ISP.
| Feature | Professional | Evaluation |
|---|---|---|
| C++ headers Examples | Y | Y |
| CUDA ISP Examples | Y | Y |
| GstCUDAISP plugin | Y | Y |
| Unlimited Processing Time | Y | N (1) |
| Source Code | Y | N |
(1) The evaluation version will limit the processing to a maximum of 1800 frames.
This version is intended for evaluation. You can build your application on top of BIPS, but the number of buffers will be a constraint. To get the source code and unlimited buffers, purchase the professional version of the product.
Installing CUDAISP
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/
