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Seeed-ProjectsSeeed-Projects/Seeed-Jetson-DevelopTool/skills/codex/maskcam-nano/AGENTS.md

Seeed-Jetson-DevelopTool / maskcam-nano

AGENTS.md57 starsChanged 4 months agoMITView on GitHub

Run MaskCam face mask detection on Jetson Nano 4GB using Docker. Streams results via RTSP. Requires JetPack 4.6 and a USB camera.

  • Installs packages

The file

We split this AGENTS.md into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run one phase at a time. After each phase:

    line 14
  2. Very specific:

    If output contains [STOP] → stop immediately, consult the failure decision tree below.

    line 16
  3. Very specific:

    If output ends with [OK] → tell the user "Phase N complete" and proceed to the next phase.

    line 17

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

MaskCam on Jetson Nano

Hardware required: Jetson Nano 4GB, JetPack 4.6, USB camera, Docker with nvidia runtime, docker-compose. MaskCam detects face mask compliance and streams annotated video over RTSP.


Execution model

Run one phase at a time. After each phase:

  • Relay all command output to the user.
  • If output contains [STOP] → stop immediately, consult the failure decision tree below.
  • If output ends with [OK] → tell the user "Phase N complete" and proceed to the next phase.

Prerequisites

RequirementDetail
BoardJetson Nano 4GB
JetPack4.6
CameraUSB camera connected before starting Docker
DockerInstalled with NVIDIA container runtime (nvidia-docker2)
NetworkJetson reachable on LAN for RTSP stream access

Phase 1 — Pull Docker image

sudo docker pull maskcam/maskcam-beta

Verify:

sudo docker images | grep maskcam
# Expected: maskcam/maskcam-beta listed with a recent tag

[OK] when the image appears in docker images. [STOP] if pull fails — see failure decision tree.


Phase 2 — Get device IP address

sudo ifconfig
# Note the inet address for your active interface (e.g. eth0 or wlan0)
# Example: inet 192.168.1.42

[OK] when you have the Jetson's IP address noted. You will use it to access the RTSP stream in Phase 4.


Phase 3 — Run MaskCam

sudo docker run --runtime nvidia -it --rm \
  --network host \
  -v /tmp/argus_socket:/tmp/argus_socket \
  maskcam/maskcam-beta

Expected: container starts and prints initialization logs, then begins processing camera frames. You should see inference output in the terminal.

[OK] when the container is running and printing frame inference results. [STOP] if the container exits immediately or errors — see failure decision tree.


Phase 4 — View RTSP stream

With MaskCam running, open the stream in VLC or any RTSP-capable player on another machine:

rtsp://<jetson-ip>:8554/maskcam

Replace <jetson-ip> with the address noted in Phase 2.

In VLC: Media -> Open Network Stream -> paste the URL above.

[OK] when the annotated video stream is visible with mask detection overlays.


Failure decision tree

SymptomAction
docker run fails with "unknown runtime: nvidia"NVIDIA container runtime not configured. Install nvidia-docker2: sudo apt install nvidia-docker2 then sudo systemctl restart docker.
Container exits immediately with "no cameras available"USB camera not detected. Confirm camera is connected: ls /dev/video*. Reconnect camera and retry.
Container exits with "failed to open argus socket"Argus socket not available. Ensure /tmp/argus_socket exists on the host: ls /tmp/argus_socket. If missing, reboot the Jetson.
RTSP stream URL not accessible from another machineCheck that port 8554 is not blocked: sudo ufw status. Allow if needed: sudo ufw allow 8554. Confirm you are using the correct Jetson IP from Phase 2.
RTSP stream connects but shows black screenCamera may not be initializing correctly inside the container. Check container logs for camera errors. Try a different USB port.
Very low FPS or inference stallsEnsure no other GPU-heavy processes are running. Check Jetson power mode: sudo nvpmodel -m 0 (max performance).

Reference files

  • references/source.body.md — full Seeed Wiki tutorial with screenshots and additional context (reference only)

Download now (ZIP)

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