The jetson-examples repository by Seeed Studio offers a seamless, one-line command deployment to run vision AI and Generative AI models on the NVIDIA Jetson platform.
274
stars
273
commits
C++
primary language
Aug 4, 2026
updated
README
jetson-examples
This repository provides examples for running AI models and applications on NVIDIA Jetson devices with a single command.
This repo builds upon the work of the jetson-containers, ultralytics and other excellent projects.
Features
- π Easy Deployment: Deploy state-of-the-art AI models on Jetson devices in one line.
- π Versatile Examples: Supports text generation, image generation, computer vision and so on.
- β‘ Optimized for Jetson: Leverages Nvidia Jetson hardware for efficient performance.
Install
To install the package, run:
pip3 install jetson-examples
Notes:
- Check here for more installation methods
- To upgrade to the latest version, use:
pip3 install jetson-examples --upgrade.
Quickstart
To run and chat with LLaVA, execute:
reComputer run llava
Example list
Here are some examples that can be run:
| Example | Type | Model/Data Size | Docker Image Size | Command | Supported JetPack |
|---|---|---|---|---|---|
| π reBot Arm Teleoperation | Robotics / Teleoperation | * | JP6: 2.28GB archive; JP7.2: 7.71GB archive | reComputer run rebot-arm-teleop | 6.1, 6.2, 7.2 |
| π Ultralytics-yolo | Computer Vision | 15.4GB | reComputer run ultralytics-yolo | 4.6, 5.1.1, 5.1.2, 5.1.3, 6.0, 6.1, 6.2 | |
| π YOLO11 | Computer Vision | * | * | reComputer run yolo11 | 5.1.1, 5.1.2, 5.1.3, 6.0, 6.1, 6.2, 6.2.1 |
| π YOLO26 | Computer Vision | * | * | reComputer run yolo26 | 5.1.1, 5.1.2, 5.1.3, 6.0, 6.1, 6.2, 6.2.1, 7.0, 7.1 |
| π YOLO26 TensorRT C++ (Native) | Computer Vision | ~30MB ONNX | No Docker (native C++) | reComputer run yolo26-tensorrt | 6.0, 6.1, 6.2, 6.2.1, 7.0, 7.1, 7.2 |
| π Deep-Live-Cam | Face-swapping | 0.5GB | 20GB | reComputer run deep-live-cam | 6.0 |
| π Live-VLM-WebUI | Computer Vision (VLM) | * | * | reComputer run live-vlm-webui | 6.0, 6.1, 6.2, 6.2.1, 7.0, 7.1 |
| π LocateAnything | Visual Grounding (VLM) | 7.3GB | 20.4GB | reComputer run locateanything | 6.2 |
| π llama-factory | Finetune LLM | 13.5GB | reComputer run llama-factory | 5.1.1, 5.1.2, 5.1.3 | |
| π ComfyUI | Computer Vision | 20GB | reComputer run comfyui | 5.1.1, 5.1.2, 5.1.3 | |
| Depth-Anything-V2 | Computer Vision | 15GB | reComputer run depth-anything-v2 | 5.1.1, 5.1.2, 5.1.3 | |
| Depth-Anything-V3 | Computer Vision | 7.6GB | reComputer run depth-anything-v3 | 6.1, 6.2, 6.2.1 | |
| π Gemma4 | Text (LLM) | 2.5GB | 0.49GB | reComputer run gemma4 | 6.1, 6.2, 6.2.1 |
| π Qwen3.5-4B | Text (LLM) | 2.5GB | 0.2GB | reComputer run qwen3.5-4b | 6.1, 6.2, 6.2.1 |
| π Qwen3.6-35B | Text (LLM) | 28GB | 0.59GB | reComputer run qwen3.6-35b | 6.1, 6.2, 6.2.1 |
| π Nemotron-3-Nano-30B | Text (LLM) | 24.5GB | 0.59GB | reComputer run nemotron-3-nano | 6.1, 6.2, 6.2.1 |
| Depth-Anything | Computer Vision | 12.9GB | reComputer run depth-anything | 5.1.1, 5.1.2, 5.1.3 | |
| Yolov10 | Computer Vision | 7.2M | 5.74 GB | reComputer run yolov10 | 5.1.1, 5.1.2, 5.1.3, 6.0 |
| Llama3 | Text (LLM) | 4.9GB | 10.5GB | reComputer run llama3 | 5.1.1, 5.1.2, 5.1.3, 6.0 |
| gpt-oss | Text (LLM) | 39GB | 31.28GB | reComputer run gpt-oss | 6.1, 6.2, 6.2.1 |
| π GraspNet-Gemini | Robotics / Grasping | * | 2.0GB | reComputer run graspnet-gemini | 6.0, 6.1, 6.2, 6.2.1 |
| ros1-jp6 | Robotics / ROS 1 | * | 1.27GB | reComputer run ros1-jp6 | 6.1, 6.2, 6.2.1 |
| nvblox | Robotics / Mapping | * | 20.5GB+ | reComputer run nvblox | 6.x |
Note: You should have enough space to run example, like
LLaVA, at least27.4GBtotally
More Examples can be found examples.md
Calling Contributors Join Us!
How to work with us?
Want to add your own example? Check out the development guide.
We welcome contributions to improve jetson-examples! If you have an example you'd like to share, please submit a pull request. Thank you to all of our contributors! π
This open call is listed in our Contributor Project. If this is your first time joining us, click here to learn how the project works. We follow the steps with:
- Assignments: We offer a variety of assignments to enhance wiki content, each with a detailed description.
- Submission: Contributors can submit their content via a Pull Request after completing the assignments.
- Review: Maintainers will merge the submission and record the contributions.
Contributors receive a $250 cash bonus as a token of appreciation.
For any questions or further information, feel free to reach out via the GitHub issues page or contact edgeai@seeed.cc
TODO List
- detect host environment and install what we need
- all type jetson support checking list
- try jetpack 6.0
- check disk space enough or not before run
- allow to setting some configs, such as
BASE_PATH - support jetson-containers update
- better table to show example's difference
π₯ Contributors
License
This project is licensed under the MIT License.
Resources
Contributors
Similar repos
Languages
C++
56.3%
Shell
30.8%
Python
11.3%
Dockerfile
1.1%
The jetson-examples repository by Seeed Studio offers a seamless, one-line command deployment to run vision AI and Generative AI models on the NVIDIA Jetson platform.
274
stars
273
commits
C++
primary language
Aug 4, 2026
updated
README
jetson-examples
This repository provides examples for running AI models and applications on NVIDIA Jetson devices with a single command.
This repo builds upon the work of the jetson-containers, ultralytics and other excellent projects.
Features
- π Easy Deployment: Deploy state-of-the-art AI models on Jetson devices in one line.
- π Versatile Examples: Supports text generation, image generation, computer vision and so on.
- β‘ Optimized for Jetson: Leverages Nvidia Jetson hardware for efficient performance.
Install
To install the package, run:
pip3 install jetson-examples
Notes:
- Check here for more installation methods
- To upgrade to the latest version, use:
pip3 install jetson-examples --upgrade.
Quickstart
To run and chat with LLaVA, execute:
reComputer run llava
Example list
Here are some examples that can be run:
| Example | Type | Model/Data Size | Docker Image Size | Command | Supported JetPack |
|---|---|---|---|---|---|
| π reBot Arm Teleoperation | Robotics / Teleoperation | * | JP6: 2.28GB archive; JP7.2: 7.71GB archive | reComputer run rebot-arm-teleop | 6.1, 6.2, 7.2 |
| π Ultralytics-yolo | Computer Vision | 15.4GB | reComputer run ultralytics-yolo | 4.6, 5.1.1, 5.1.2, 5.1.3, 6.0, 6.1, 6.2 | |
| π YOLO11 | Computer Vision | * | * | reComputer run yolo11 | 5.1.1, 5.1.2, 5.1.3, 6.0, 6.1, 6.2, 6.2.1 |
| π YOLO26 | Computer Vision | * | * | reComputer run yolo26 | 5.1.1, 5.1.2, 5.1.3, 6.0, 6.1, 6.2, 6.2.1, 7.0, 7.1 |
| π YOLO26 TensorRT C++ (Native) | Computer Vision | ~30MB ONNX | No Docker (native C++) | reComputer run yolo26-tensorrt | 6.0, 6.1, 6.2, 6.2.1, 7.0, 7.1, 7.2 |
| π Deep-Live-Cam | Face-swapping | 0.5GB | 20GB | reComputer run deep-live-cam | 6.0 |
| π Live-VLM-WebUI | Computer Vision (VLM) | * | * | reComputer run live-vlm-webui | 6.0, 6.1, 6.2, 6.2.1, 7.0, 7.1 |
| π LocateAnything | Visual Grounding (VLM) | 7.3GB | 20.4GB | reComputer run locateanything | 6.2 |
| π llama-factory | Finetune LLM | 13.5GB | reComputer run llama-factory | 5.1.1, 5.1.2, 5.1.3 | |
| π ComfyUI | Computer Vision | 20GB | reComputer run comfyui | 5.1.1, 5.1.2, 5.1.3 | |
| Depth-Anything-V2 | Computer Vision | 15GB | reComputer run depth-anything-v2 | 5.1.1, 5.1.2, 5.1.3 | |
| Depth-Anything-V3 | Computer Vision | 7.6GB | reComputer run depth-anything-v3 | 6.1, 6.2, 6.2.1 | |
| π Gemma4 | Text (LLM) | 2.5GB | 0.49GB | reComputer run gemma4 | 6.1, 6.2, 6.2.1 |
| π Qwen3.5-4B | Text (LLM) | 2.5GB | 0.2GB | reComputer run qwen3.5-4b | 6.1, 6.2, 6.2.1 |
| π Qwen3.6-35B | Text (LLM) | 28GB | 0.59GB | reComputer run qwen3.6-35b | 6.1, 6.2, 6.2.1 |
| π Nemotron-3-Nano-30B | Text (LLM) | 24.5GB | 0.59GB | reComputer run nemotron-3-nano | 6.1, 6.2, 6.2.1 |
| Depth-Anything | Computer Vision | 12.9GB | reComputer run depth-anything | 5.1.1, 5.1.2, 5.1.3 | |
| Yolov10 | Computer Vision | 7.2M | 5.74 GB | reComputer run yolov10 | 5.1.1, 5.1.2, 5.1.3, 6.0 |
| Llama3 | Text (LLM) | 4.9GB | 10.5GB | reComputer run llama3 | 5.1.1, 5.1.2, 5.1.3, 6.0 |
| gpt-oss | Text (LLM) | 39GB | 31.28GB | reComputer run gpt-oss | 6.1, 6.2, 6.2.1 |
| π GraspNet-Gemini | Robotics / Grasping | * | 2.0GB | reComputer run graspnet-gemini | 6.0, 6.1, 6.2, 6.2.1 |
| ros1-jp6 | Robotics / ROS 1 | * | 1.27GB | reComputer run ros1-jp6 | 6.1, 6.2, 6.2.1 |
| nvblox | Robotics / Mapping | * | 20.5GB+ | reComputer run nvblox | 6.x |
Note: You should have enough space to run example, like
LLaVA, at least27.4GBtotally
More Examples can be found examples.md
Calling Contributors Join Us!
How to work with us?
Want to add your own example? Check out the development guide.
We welcome contributions to improve jetson-examples! If you have an example you'd like to share, please submit a pull request. Thank you to all of our contributors! π
This open call is listed in our Contributor Project. If this is your first time joining us, click here to learn how the project works. We follow the steps with:
- Assignments: We offer a variety of assignments to enhance wiki content, each with a detailed description.
- Submission: Contributors can submit their content via a Pull Request after completing the assignments.
- Review: Maintainers will merge the submission and record the contributions.
Contributors receive a $250 cash bonus as a token of appreciation.
For any questions or further information, feel free to reach out via the GitHub issues page or contact edgeai@seeed.cc
TODO List
- detect host environment and install what we need
- all type jetson support checking list
- try jetpack 6.0
- check disk space enough or not before run
- allow to setting some configs, such as
BASE_PATH - support jetson-containers update
- better table to show example's difference
π₯ Contributors
License
This project is licensed under the MIT License.
Resources
Similar repos
Contributors
Languages
C++
56.3%
Shell
30.8%
Python
11.3%
Dockerfile
1.1%