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NVIDIA Jetson driver

Driver for Allied Vision Alvium cameras with MIPI CSI-2 interface for NVIDIA Jetson with JetPack 4.2.2 (L4T 32.2.1)
https://developer.nvidia.com/jetpack-422-archive
Alvium camera

Overview

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

Platforms: Nano, TX2, Xavier
JetPack 4.2.2 (L4T 32.2.1)
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 4.2.2 to Jetson Nano, TX2, or Xavier

  1. Install JetPack 4.2.2 (L4T 32.2.1) as per NVIDIA's instructions https://developer.nvidia.com/jetpack-422-archive
    Recommendation: Use NVIDIA SDK Manager to install JetPack and useful tools such as CUDA.
    https://docs.nvidia.com/sdk-manager/

  2. Update and upgrade the host PC and the Jetson board:
    # sudo apt update
    # sudo apt upgrade

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

Method A: Use precompiled binaries
Install the precompiled kernel including driver and installation instructions:
https://www.alliedvision.com/en/products/software/embedded-software-and-drivers/

  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_32.2.1_.tar.gz.
    Copy the tarball to the target board. On the target board, extract the tarball and run the included install script.
    Nano users: Reboot the board. Now you can use the driver.

  3. TX2 and Xavier users: Continue with step 6 of Method B.

Method B: Cross-compile binaries from source
These scripts require a host PC with Ubuntu (16.04 or 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.
    Nano users: Reboot the board. Now you can use the driver.

  6. TX2 and Xavier users: Connect the host PC to the USB recovery port of your board (TX2: Micro-B, Xavier: Type C)

  7. Set TX2 or Xavier to Force USB Recovery Mode as per NVIDIA's instructions. Optionally, check the connection: On the host PC, enter lsusb and make sure that "NVidia Corp" is listed.

  8. TX2 or Xavier - run the script on the host PC:
    a) Flash the device tree blob to the target board:
    $ ./deploy.sh <WORK_DIR> <TARGET_BOARD> flash-dtb # Use the same WORK_DIR for all scripts
    TX2 users: Reboot the board. Now you can use the driver.

  9. Xavier users: Set Xavier to Force USB Recovery Mode and run deploy.sh again with parameter flash-kernel to flash the kernel image to the board.
    $ ./deploy.sh <WORK_DIR> <TARGET_BOARD> flash-kernel # Use the same WORK_DIR for all scripts

Additional information

📖 https://github.com/alliedvision/documentation/blob/master/NVIDIA.md