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

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==== Jetson platforms ====
 
==== Jetson platforms ====
* Depending on what Jetpack release you have installed on your Jetson, you might want to download the corresponding CUDA Toolkit version, which includes NPPI library. In the following table you can see which one you need. Click on the link and follow the system setup presented by NVIDIA.  
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* Depending on what Jetpack release you have installed on your Jetson, you might want to download the corresponding CUDA Toolkit version, which includes NPPI library. In the following table you can see which one you need. Click on the link and follow the selection menu.
  
 
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Revision as of 10:05, 10 March 2023


  Index  






Dependencies

CUDA ISP has the following dependencies for building from source:

  • CUDA
  • NPPI
  • libspdlog
  • GstCUDA


Core

Please, install them using (in Debian-based systems):

sudo apt install -y     \
    libspdlog-dev       \
    python3-dev

CUDA L4T pacakge (NPPI library)

The Jetpack default installation will flash and install all the necessary CUDA packages, including NPPI library. This section describes how to perform a manual installation, which is typically __NOT__ needed

Installation guide for CUDA:

1. You will need to know which distribution version you are using:

lsb_release -a

2. Depending on your platform follow the next instructions:

Jetson platforms

  • Depending on what Jetpack release you have installed on your Jetson, you might want to download the corresponding CUDA Toolkit version, which includes NPPI library. In the following table you can see which one you need. Click on the link and follow the selection menu.
Jetpack Release CUDA Toolkit version
JetPack 4.x Get CUDA 10.2 Toolkit
JetPack 5.x Get CUDA 11.4 Toolkit

x86 platforms

3. Select the version depending on the lsb_release command executed above. We recommend using the deb (local) option for the installation.

4. Once you have selected your system setup, NVIDIA will show you the installation instructions for those requirements.

GstCUDA

GstCUDA is another RigdeRun product. This product is require for CUDA ISP if you want to use it with GStreamer applications. You can see more about this product in this link: Get GstCUDA

Documentation (optional)

For the documentation, consider the following dependency:

  • doxygen

Please, install it using (in Debian-based systems):

sudo apt install -y     \
    doxygen             \

Meson building system

At the building system level:

  • ninja-build
  • python3-pip
  • pkg-config
  • meson

Please, install them using (in Debian-based systems):

sudo apt install -y \
     python3        \
     python3-pip    \
     ninja-build    \
     pkg-config

The process should be similar in other systems, not based on Debian.

Building the project

Once fulfilled the dependencies, you can run a default compilation with:

meson build
ninja -C build
sudo ninja -C build install

For additional customization, you may refer to the following table of options:

`
Configure Option Description
-Denable-python=disabled Skip the Python API compilation. Enabled by default.
-Dwith-python-version=3.8 Sets the Python version. It takes '3' by default.
-Denable-docs=disabled Skip documentation generation. Enabled by default.
--prefix /usr Set the installation path of the library

Table 1. CUDA ISP configuration options (Meson)











  Index