CUDA ISP for NVIDIA Jetson/Getting Started/Evaluating the CUDA ISP

CUDA ISP for NVIDIA Jetson
CUDA ISP for NVIDIA Jetson Basics
Getting Started
Evaluating the CUDA ISP Getting the code Building CUDA ISP for NVIDIA Jetson Building custom v4l2src element
User Manual
GStreamer
cudadebayer cudashift cudaawb
Examples
API usage GStreamer usage
Performance
Library GStreamer Elements
Contact Us

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.
• If you are on Jetson:
  • Jetpack version
  • L4T version
• CUDA and NPP library version

RidgeRun will provide you with the binaries to evaluate CUDA ISP 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.

Table 1. Features provided in the evaluation version

Feature	Professional	Evaluation
C++ headers	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 27000 executions.

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.

Evaluating CUDA ISP

Installing dependencies

CUDA ISP has the following dependencies:

• CUDA/NPPI
• libspdlog
• GstCUDA

To see how to install this dependencies, follow this link: Building CUDA ISP.

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/

Testing CUDA ISP

To validate that the installation was successful, run the following command:

gst-inspect-1.0 cudaisp

Yo should see the following output:

Plugin Details:
  Name                     cudaisp
  Description              GStreamer LibCudaISP-based elements
  Filename                 /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstcudaisp.so
  Version                  0.1.0
  License                  Proprietary
  Source module            libcudaisp
  Binary package           libcudaisp
  Origin URL               RidgeRun

  cudaawb: GstCUDA AWB
  cudadebayer: GstCUDA Debayer
  cudashift: GstCUDA Shift

  3 features:
  +-- 3 elements

Examples

The C++ examples provided are onw for each element:

• cudadebayer
• cudashift
• cudawhitebalancer

The example binaries are compiled after building. If the build directory is build:

└── rr
   └── examples 
        ├── cudadebayer
        ├── cudashift
        └── cudawhitebalancer