How to build ZED 2i Camera x ROS2 Foxy x Nvidia Jetson x Ubuntu 18.04 via Docker

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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CodeRabbit: AI Code Reviews for Developers
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  1. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

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  2. jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

  3. jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T (by codustry)

  4. zed-docker

    Docker images for the ZED SDK

  5. zed-ros2-wrapper

    ROS 2 wrapper for the ZED SDK

  6. diagnostics

    Packages related to gathering, viewing, and analyzing diagnostics data from robots. (by ros)

  7. IntelligentEdgeHOL

    The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module to an Nvidia Jetson Nano device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam (by Azure)

    Azure/IntelligentEdgeHOL - this help me to know that /usr/lib/aarch64-linux-gnu/tegra is related to L4T 32.5 that is missing in l4t base docker.

  8. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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