Preset: Jetson One-Click Depth Demo {#jetson_depth}
Deploy Depth Anything V3 to your Jetson device with one click from this platform.
| Device | Purpose |
|---|
| NVIDIA Jetson (reComputer) | Runs Depth Anything V3 in Docker |
| USB Camera (optional) | Real-time depth inference input |
What you'll get:
- Automatic remote deployment through SSH
- Preconfigured Docker container with GPU runtime
- Ready-to-run Depth Anything V3 environment on Jetson
Requirements: Jetson on Linux + SSH reachable + Docker available
Step 1: Deploy Depth Anything V3 {#deploy_depth_anything type=docker_deploy required=true config=devices/jetson.yaml}
Deploy the containerized runtime to your Jetson. No terminal command input is required from the user.
Target: Remote Deployment (Jetson) {#jetson_remote type=remote config=devices/jetson.yaml default=true}
Deploy to your Jetson over SSH with one click.
Wiring
- Connect Jetson to the same network as your computer
- Plug in USB camera if you want live depth inference
- Fill in Jetson IP, SSH username, and password
- Click Deploy
Deployment Complete
- The Docker container is running on your Jetson
- USB camera inference starts automatically in the container
- RTSP output is published at
rtsp://<jetson-ip>:8554/depth
- No additional command input is required for deployment completion
Troubleshooting
| Issue | Solution |
|---|
| SSH connection failed | Verify IP address, username, password, and that Jetson SSH service is enabled |
| Docker runtime check failed | Ensure Docker is installed and NVIDIA runtime is available on Jetson |
| Docker permission denied (not in docker group) | Run sudo usermod -aG docker <ssh-user>, then newgrp docker (or log out/in), verify with docker info, and retry deployment |
| Disk space not enough | Free space on Jetson root partition and deploy again |
| Deployment timeout | Keep Jetson online and retry after checking network quality |
| RTSP stream not available | Check camera is attached under /dev/video* and inspect logs: docker logs depth_anything_v3 |
Failed to read frame from camera in logs | Set Camera ID to auto or try 1 (some USB cameras expose capture on /dev/video1 instead of /dev/video0) |
Target: Local Deployment {#jetson_local type=local config=devices/jetson_local.yaml}
Deploy directly on the current machine (requires NVIDIA GPU).
Wiring
- Ensure Docker and NVIDIA Container Toolkit are installed
- Click Deploy to start installation
Note: First startup may take 5-10 minutes for TensorRT model compilation and Docker image download.
Deployment Complete
- The Docker container is running on this machine
- USB camera inference starts automatically in the container
- RTSP output is published at
rtsp://localhost:8554/depth
- Use Step 2: Preview Depth Video Stream to view the stream
Troubleshooting
| Issue | Solution |
|---|
| NVIDIA runtime not found | Install NVIDIA Container Toolkit: sudo apt install nvidia-container-toolkit && sudo systemctl restart docker |
| Port 8554 already in use | Stop existing services on that port |
| Container keeps restarting | Check logs: docker logs depth_anything_v3 — likely GPU memory or driver issue |
Step 2: Preview Depth Video Stream {#preview_depth_stream type=preview required=false config=devices/preview.yaml}
Use this step to view your Jetson RTSP inference stream directly in the platform UI.
Wiring
- Connect a USB camera to Jetson (check it appears as
/dev/video0 or another /dev/video*)
- Ensure your inference pipeline publishes RTSP on Jetson (recommended path:
rtsp://<jetson-ip>:8554/depth)
- In this step, enter that RTSP URL
- Click Connect to start preview
Deployment Complete
- Live stream is visible in the preview window
- If your pipeline outputs depth/overlay frames, they are shown in real time
- You can disconnect/reconnect without redeploying Step 1
Troubleshooting
| Issue | Solution |
|---|
| Preview black screen | Verify RTSP URL with VLC first, then retry in this page |
| Connection timeout | Confirm Jetson port 8554 is reachable from the machine running this platform |
| ffmpeg not found | Install ffmpeg on the machine running this platform/backend |
| Only raw camera seen | Your Jetson pipeline is likely publishing camera passthrough; switch RTSP source to your inference output stream |
Deployment Complete
Depth Anything V3 runtime has been deployed successfully on your Jetson.
Validation Checklist
- Deployment status shows success in this page
- The service container stays in running state
- You can proceed to your next product integration step directly
