# linux_nvidia_jetson

**Repository Path**: gitee.thomas/linux_nvidia_jetson

## Basic Information

- **Project Name**: linux_nvidia_jetson
- **Description**: MIPI CSI-2 所有摄像头的一个开源CSI-2驱动程序
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 0
- **Created**: 2021-03-01
- **Last Updated**: 2022-12-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# NVIDIA Jetson driver

Driver for Allied Vision Alvium cameras with MIPI CSI-2 interface for NVIDIA Jetson with JetPack 4.4.1 (L4T 32.4.4)     
https://developer.nvidia.com/embedded/jetpack
![Alvium camera](https://cdn.alliedvision.com/fileadmin/content/images/cameras/Alvium/various/alvium-cameras-models.png)

## 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 4.4.1 (L4T 32.4.4)  
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 4.4.1 to Jetson Nano, Nano 2GB, TX2, AGX Xavier or Xavier NX
 
1. Install JetPack 4.4.1 (L4T 32.4.4) 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/  
	
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, Nano 2GB, TX2, AGX Xavier or Xavier NX

 **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_32.4.4_<git-rev>.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**    
  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.   
     Reboot the board. Now you can use the driver. 

 ## Additional information
 :open_book:
 https://github.com/alliedvision/documentation/blob/master/NVIDIA.md