Use Jetson as a ground station for FPV enthusiasts.
Main features as follows:
- Infrastructure
- wfb-ng
- Adaptive wireless link
- FPV features
- MSPOSD for airunit/gs communication
- pyosd for MAVLink
- wfb-ng-osd for MAVLink
- video-viewer
- pyvideo-viewer
- pygstreamer
- Jetson video analysis
- pysegnet for segmentation
- pyposenet for pose estimation
- pyimagenet for image recognition (DS6.3 supported)
- pydetectnet for object detection (DS6.3 supported)
- yolo for object detection (DS6.3 supported/DS7.1 not accurate)
- Real time video stabilizer
- DeepStream-app (DS6.3 H264 supported)
- DeepStream
- ByteTrack
- NvDCF tracker
- DeepStream-python (DS7.1 H264/H265 supported)
- DeepStream
- ByteTrack
- NvDCF tracker
Note: Currently, it's focused on Jetpack 6.2 l4t36.4.3
All these fun points serve as potential starting points for deepening the project.
- How to install the software?
- How to use the software?
- How to optimize YOLO performance?
- How to work with OpenIPC camera?
- What L4T/Jetpack versions are tested?
- Is there any todo list?
- Is there any reference for reading?
- History for jetson FPV
- wfb-wifibroadcast@svpcom
- msposd@tipoman9 for betalight/inav/ardupilot
- wfb-stabilizer@ejowerks
- wfb-stabilizer@tipoman9
- video-viewer@dusty-nv
- jetson-inference@dusty-nv
- jetson-yolo from nvidia
- DeepStream-Yolo@marcoslucianops
- deepstream_python_apps
- Ultralytics YOLO11
- OpenIPC for IP camera
- ByteTrack, simple, fast and strong multi-object tracker
- Adaptive-Link for OpenIPC FPV