Aslm / linux_nvidia_jetson

Allied Vision CSI-2 camera driver for NVIDIA Jetson Systems. Currently supporting Nano, TX2, AGX Xavier, and Xavier NX. Support for TX2 NX coming soon.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

NVIDIA Jetson driver

Driver for Allied Vision Alvium cameras with MIPI CSI-2 interface for NVIDIA Jetson with JetPack 4.5.1 (L4T 32.5.1)
https://developer.nvidia.com/embedded/jetpack Alvium camera

Overview

The scripts in this project build and install the Allied Vision CSI-2 driver to the NVIDIA Jetson boards.

Platforms: Nano, Nano 2GB, TX2, AGX Xavier, Xavier NX
JetPack 4.5.1 (L4T 32.5.1)
The scripts require Git on the host PC.

Before starting the installation, make sure to create a backup of your Jetson system.

Prerequisites: Install JetPack 4.5.1 to Jetson Nano, Nano 2GB, TX2, AGX Xavier or Xavier NX

Install JetPack 4.5.1 (L4T 32.5.1) as per NVIDIA's instructions https://developer.nvidia.com/embedded/jetpack

Recommendation: Use NVIDIA SDK Manager to install JetPack and useful tools such as CUDA.
https://docs.nvidia.com/sdk-manager/

Nano and Nano 2GB: The driver installation requires JetPack 4.5.1 without any upgrades. If your Jetson Nano board has a higher JetPack version, please downgrade it to JetPack 4.5.1 with NVIDIA's SDK Manager before installing the driver.

Accidental overwriting of the driver

As of JetPack 4.4, users can update L4T directly on the board with apt-upgrade. Doing this may install newer L4T kernel and device tree files, which overwrite the driver for Allied Vision cameras. If you use apt-upgrade nevertheless, please prevent overwriting the driver with:

sudo apt-mark hold 'nvidia-l4t-*'

Note that both reinstalling the driver or putting the update on hold may cause unavailable features or bugfixes from NVIDIA.

Install Alvium CSI-2 driver to Jetson Nano, Nano 2GB, TX2, AGX Xavier or Xavier NX

Method A: Use precompiled binaries

Install the precompiled kernel including driver and installation instructions.
For Jetson Nano, please use the file containing "a02" for A02 carrier boards and the other file for B01 carrier boards.

  1. Extract the tarball on a host PC.

  2. The tarball contains helper scripts and another tarball with the precompiled binaries named AlliedVision_NVidia_L4T_32.5.1_.tar.gz.
    Copy the tarball to the target board. On the target board, extract the tarball and run the included install script.
    Reboot the board. Now you can use the driver.

Method B: Cross-compile binaries from source
The scripts require a host PC with Ubuntu (we recommend version 18.04) installed.

  1. Download sources and scripts from https://github.com/alliedvision/linux_nvidia_jetson to the host PC.
    On the host PC:

  2. Run setup.sh, which prepares the directory structure, extracts the file archive, etc.:
    $ ./setup.sh <WORK_DIR> <TARGET_BOARD> # For example, $ ./setup.sh work_dir nano

  3. Run build.sh, which builds the kernel, modules, device tree files, and the bootloader:
    # Use the same WORK_DIR for all scripts
    # Example: $ ./build.sh work_dir nano all all
    $ ./build.sh <WORK_DIR> <TARGET_BOARD> <BUILD_OPTIONS> <COMPONENTS> <OPTIONS>

  4. Create a tarball with the kernel image and modules.
    $ ./deploy.sh <WORK_DIR> <TARGET_BOARD> tarball

  5. Copy the tarball to the target board. On the target board, extract the tarball and run the included install script.
    Reboot the board. Now you can use the driver.

Additional information

đź“– https://github.com/alliedvision/documentation/blob/master/NVIDIA.rst

About

Allied Vision CSI-2 camera driver for NVIDIA Jetson Systems. Currently supporting Nano, TX2, AGX Xavier, and Xavier NX. Support for TX2 NX coming soon.


Languages

Language:C 97.9%Language:Assembly 1.4%Language:Makefile 0.3%Language:Perl 0.2%Language:Shell 0.1%Language:Python 0.1%Language:C++ 0.0%Language:Yacc 0.0%Language:SmPL 0.0%Language:Lex 0.0%Language:Roff 0.0%Language:Awk 0.0%Language:GDB 0.0%Language:UnrealScript 0.0%Language:Gherkin 0.0%Language:Raku 0.0%Language:M4 0.0%Language:XS 0.0%Language:Clojure 0.0%Language:sed 0.0%