What This Repository Contains
- First-time setup notes
- Code snippets to get camera streaming working
- Fixes to common installation issues
- Experiments with AI models (YOLOv5, hand gesture classification, etc.)
- Instructions for tools like Jupyter, Docker, Arduino IDE (on Jetson Nano)
Featured Learning Milestones
- YOLOv5 Setup, Set up YOLOv5 object detection model on Jetson Nano
- JupyterLab Installation, Installed and used JupyterLab to run Jetson like a cloud notebook
- Opening Camera with Python, Used OpenCV to read video streams from CSI / USB camera
- Camera inside Jupyter Notebook, Displayed live camera feed directly within a Jupyter Notebook cell
- Thumbs Up / Thumbs Down Classification, Created a simple gesture recognition model
- Jetson Docker / NVIDIA DL Container Setup, Learned how to use Nvidia’s Docker containers on Jetson
- Arduino IDE on Jetson Nano, Installed Arduino IDE on Jetson Nano and programmed Arduino boards through it
Why I Created This Repo
Because when you're learning something new, especially Jetson Nano, you constantly ask:
“Why isn’t the camera working?”
“Why won't Jupyter detect my GPU?”
“Why does YOLO give CUDA errors?”
Instead of Googling the same errors again and again, I started logging everything I solved, and that turned into this repository.
This repo is proof of learning in progress, not a final product, but a journey.
My Learnings
- Working with Jetson Nano’s GPU + CUDA + cuDNN
- Configuring Deep Learning environments on ARM boards
- Running Python AI models on edge devices
- Working with CSI and USB cameras in OpenCV
- Using Docker containers for ML deployments
- Installing and using Arduino IDE on Linux ARM systems
- Importance of documentation while exploring new tech
