Hermes asked for structured detections instead of a bare JPEG. faces() returns the
faces in view with no photo: a persistent track id, bbox, detection confidence, how
long the person has been in view, and identity {name, similarity} or null, never a
made-up name. look() returns that same JSON as text plus the photo (send_image can
skip it); list_people() gives names and counts; robot://status and two prompts make
the server discoverable, where list_resources and list_prompts were empty. The
detector now tracks faces across frames (FaceTracker) and publishes the track id and
the identity as a second hypothesis.
Deliberately not built: embeddings in responses, age/gender attributes, auto-updating
face data, and a remote enroll tool (a prompt could make the robot call anyone "Kyle").
Checked end to end: a real Hermes turn on the local ornith model called faces() (0.03 s,
no image) and answered that Kyle was there at 0.78 similarity. Also: the camera is
calibrated (18 of 24 views, 0.296 px, outlier rejection added) and the calibration is
kept in pi/calibration and restored by the installer.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AFN8nRRCiDiMN7ChBpHJhs
329 lines
27 KiB
Markdown
329 lines
27 KiB
Markdown
# Current state
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Last updated 2026-10-04. `HANDOFF.md` is the brief; this file tracks where the work stands.
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## Hardware on hand
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Raspberry Pi 4 (8 GB), BrainCraft HAT, Arducam UC-346 camera, and nothing else: **no servos, no
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fan, no speakers**, no USB-C splitter, no printed enclosure (the camera hangs loose on its ribbon and is
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held by hand). The Pi runs at about 62 C open-air with everything on and no fan; an enclosure will be
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hotter, so fit the fan before enclosing it. Playback and the servos are untested. Work until those arrive is limited to what the Pi, HAT and camera can do.
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## The Pi (`hermes-bot`)
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- Ubuntu 24.04.5 server, kernel `6.8.0-1065-raspi` (fully upgraded), flashed from `talos`. User
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`hermes` (key-only; passwordless sudo), SSH keys for `kyle@vade` (talos) and `kyle@straylight`.
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- On Wi-Fi at `192.168.88.152` (MAC `d8:3a:dd:0d:66:f5`); `eth0` is not cabled. The owner says it has
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a static IP on the rack switch; that address is not recorded here yet. **USB link: `10.55.0.2`**
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(see package 0b below); `ssh hermes@10.55.0.2` works from talos. `avahi-daemon` is
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installed, but mDNS is off in `systemd-resolved` on talos, so `hermes-bot.local` doesn't resolve
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there; use the IP.
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- **cloud-init applies `network-config` and `user-data` on the first boot only.** To change Wi-Fi
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later, edit `/etc/netplan/50-cloud-init.yaml` on the Pi, or bump `instance_id` in `meta-data` on
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`system-boot`. `pi/50-cloud-init.yaml` is a template for the Wi-Fi block; it is gitignored
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because it holds credentials.
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- Installed: ROS 2 Jazzy (`ros-base`, `ros-dev-tools`, colcon, `robot_state_publisher`, `xacro`,
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`camera_ros`); `python3-numpy/pil/spidev/lgpio/rpi-lgpio`; a venv `~/venv` (system site packages
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visible) with `adafruit-circuitpython-rgb-display` and Blinka. Workspace: `~/ros_ws`, source synced
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from `ros/` with `rsync -a --delete --exclude __pycache__ ros/ hermes@<ip>:~/ros_ws/src/`, then
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`colcon build --symlink-install`.
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- **One unit runs the whole robot:** `robot.service` runs `ros2 launch hermes_bringup robot.launch.py`
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as `hermes` (face, camera, face detection, audio levels), so everything is ROS and the face is up
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whenever the robot is powered; each node is its own process, respawned by the launch file. Install
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with `pi/install-robot-service.sh`. `RuntimeDirectory=robot` gives lgpio a writable working
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directory (it drops a pipe in its cwd; systemd's default `/` is not writable). The face starts
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first and the camera, vision and audio nodes follow `start_delay` (6 s) later, so the Python
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processes do not fight over the CPU. Parameters are in `ros/hermes_bringup/config/robot.yaml`.
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`robot-cpu-performance.service` holds the governor at `performance` (the face costs about half the
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CPU at full clock). `pi/trim-boot.sh` disables snapd and ModemManager (unused; ~9 s of boot CPU).
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- **Boot timing** (reboot-tested, everything returns by itself): the face draws at about 28 s on the
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boot clock (kernel 6.9 s, `robot.service` at ~10 s into userspace, then `ros2 launch` takes ~10 s
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to start on a cold Pi, then the face ~3 s); camera, audio and vision are up by ~37 s. The owner is
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fine with up to a minute, and prefers everything in ROS to a faster non-ROS face; a split
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`robot-face.service` that skipped the launch framework only saved 3.7 s and was dropped.
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- **Steady-state CPU** with everything running (4 cores): face ~76%, camera ~57% (15 fps, from 30
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at ~40% alone), detector ~40% (was 131%), audio ~12%; about half the machine idle, 62 C, no
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throttling, no fan fitted. Camera `FrameDurationLimits` is the lever (15 fps ~20% alone, 10 fps
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~14%); JPEG quality barely matters. OpenCV's DNN spins every core and burns 3-4x its elapsed
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time in CPU, so the detector node pins it to one thread (YuNet 86 ms, SFace 161 ms of CPU), decodes
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the JPEG at half size (`IMREAD_REDUCED_COLOR_2`, boxes scaled back to full-size pixels) and
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re-identifies a tracked face at most once a second (`IdentityCache`).
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- `ros2 node list` with its default short discovery window often shows only some of the nodes; use
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`ros2 node list --no-daemon --spin-time 6` (all four appear), or check topics.
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- **ROS never leaves the Pi** (owner's decision): `ROS_AUTOMATIC_DISCOVERY_RANGE=LOCALHOST` (set in
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`pi/robot-env.sh`, which `source`s everything) and the firewall drops domain 42's DDS ports
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(17900-18149) on every interface but loopback. `hermes_mcp` is the only bridge to the outside; a
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host that wants data from the robot gets it through an MCP tool, not DDS. This supersedes
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HANDOFF.md's `host/ros-shell` talking to the robot. (ROS's setup script exports `SUBNET`, so the
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variable must be assigned, not defaulted.)
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- **PipeWire** (1.0.5, WirePlumber 0.4.17) runs as `hermes`'s user services (`loginctl enable-linger`).
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`~/.config/pipewire/pipewire-pulse.conf.d/50-network-server.conf` (from `pi/pipewire/`) makes
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pipewire-pulse listen on TCP 4713 on all interfaces; the firewall is the protection. Defaults are
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the WM8960 source and sink (`alsa_input/output.platform-soc_sound.stereo-fallback`). Verified from
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talos: `pactl -s tcp:10.55.0.2:4713 info` works; the same on the Wi-Fi address times out.
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## Package 0a (platform proof on Ubuntu 24.04)
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- Step 1 done: `host/check-pi-platform.sh` passes.
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- Step 2 done: flashed, booted, upgraded; ROS installed; `ros2 topic list` works.
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- **Step 5 (display) done.** ST7789 works on `lgpio` through Blinka (`rpi-lgpio`, no `RPi.GPIO`).
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Two gotchas: pass `cs=None` (the kernel drives CE0; claiming GPIO8 raises "GPIO busy"), and the
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240x240 glass sits at `y_offset=80` in the controller's RAM, for every rotation (the driver
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rotates in software and leaves the scan direction fixed). Mounted pose (microSD end up, USB-C edge
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on the left) needs content turned 90 degrees clockwise: `rotation=270`. Full-frame push is
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~23 fps through the driver; the face pushes raw RGB565 with `_block` and reaches ~27-28 fps.
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- **Camera: works with the Raspberry Pi libcamera fork, not with the stock stacks.** The OV5647 is
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detected (`ov5647 10-0036`) and Ubuntu's libcamera 0.2.0 lists it once `libcamera-ipa` is
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installed, but capture dies in the Pi IPA (`assertion "it != buffers_.end()" in prepareIsp()`),
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and ROS Jazzy's libcamera 0.7.2 dies with `FATAL … A list of V4L2 controls requires a
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ControlInfoMap` right after `configure`. Both are deterministic whatever the stream format or
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size. Fix: build the fork (`github.com/raspberrypi/libcamera`, commit `6c1dd9d`, 2026-08-17) with
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`-Dpipelines=rpi/vc4 -Dipas=rpi/vc4 -Dcam=enabled -Dv4l2=false …` into `/opt/libcamera-rpi`; its
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`cam` then captures 1296x972 RGB888 at ~16 fps (dim room). `pi/capture_still.py` takes a still
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with it. **`camera_ros` still has to be built against this fork** (the apt one uses ROS's broken
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libcamera). Frames are padded (stride 3936) and B,G,R in memory.
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- **`camera_ros` 0.7.0 is built from source against the fork** in `~/camera_ws` (overlay on ROS; at
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runtime the fork must come first in `LD_LIBRARY_PATH`, which `source ~/robot-env.sh` does; copy
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from `pi/robot-env.sh`). Verified: `ros2 run camera_ros camera_node --ros-args -p width:=1296 -p
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height:=972 -p format:=RGB888` publishes `/camera/image_raw`, `/camera/image_raw/compressed` (~26
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Hz) and `/camera/camera_info`. It costs ~140% of a core with raw and compressed both on; lower the
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frame rate or size before running everything together. No calibration file yet.
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- **`ros/hermes_vision`**: `hermes_vision.detect` (YuNet, Haar fallback; no ROS imports) and a node
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`face_detector` that subscribes to the compressed image and publishes `/vision/faces`
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(`vision_msgs/Detection2DArray`, bbox centre/size in pixels, `class_id: face`, score), at `rate_hz`
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(default 4, ~47% of a core on a Pi 4); `publish_debug:=true` adds an annotated image. CLI:
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`python -m hermes_vision.detect_cli IMAGE`. YuNet 2023mar needs OpenCV 4.8+, so `~/venv` has
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`opencv-python-headless==4.10.0.84` with `numpy<2` (system NumPy stays 1.26.4 for ROS), and
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`robot-env.sh` puts the venv first on `PYTHONPATH`; YuNet also needs input sides that are multiples
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of 32. Tested on a sample image and on a live frame (one face found, upright, no flip needed).
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- **Audio capture works (verified 2026-10-04).** The stock `wm8960-soundcard` overlay fails every
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stream with `wm8960: No MCLK configured` on Ubuntu 24.04: it puts the 12.288 MHz fixed clock on the
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sound card's codec link, but the codec driver reads `mclk` from its own node.
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`pi/overlays/hermes-wm8960.dts` is the stock overlay plus `clocks`/`clock-names` on the codec node;
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`pi/install-audio-overlay.sh` compiles it to `/boot/firmware/overlays/hermes-wm8960.dtbo`, sets
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`dtparam=audio=off` and `dtoverlay=hermes-wm8960`. Capture then opens at 8-48 kHz. Address the
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card by name (`hw:CARD=wm8960soundcard,DEV=0`): its index changes (it was card 1, then 0).
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- **The HAT's hardware Audio ON/OFF slide switch (right edge, by the "Audio" label) must be ON.**
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With it off, the codec still answers on I2C and every software check looks right, but all
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recordings are exactly zero. That cost an hour of debugging; check it first.
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- Mixer: `Left/Right Input Mixer Boost Switch` default to off and must be on. Settings in use:
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Capture 47/47 (+18 dB), `Left/Right Input Boost Mixer LINPUT1/RINPUT1` volume 1, input mixer boost
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on. Singing at arm's length: RMS -34 to -49 dBFS, peaks -18 dBFS, no clipping, channels within
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1-2 dB. Saved with `alsactl store` and exported as `pi/wm8960_asound.state`; restoring at boot is
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not yet verified. No speakers on hand, so playback is untested.
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- Not done: PWM (waits for servos). Ask before rebooting the Pi.
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## Package 0b (USB link): Pi side and talos side working
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- Pi: `dtoverlay=dwc2,dr_mode=peripheral`; `robot-usb-gadget.service` builds a configfs gadget
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(NCM `usb0` + ACM `ttyGS0`, host MAC `02:68:65:72:6d:01`, robot MAC `02:68:65:72:6d:02`) before
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networking; `serial-getty@ttyGS0` is enabled; `/etc/netplan/60-usb0.yaml` gives `usb0`
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`10.55.0.2/30` with no gateway, so the default route stays on Wi-Fi. Installed by
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`pi/install-usb-gadget.sh` (a backup of `config.txt` is `config.txt.bak-usbgadget`). NCM works on
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the Pi 4 with kernel 1065; ECM was not needed.
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- **netplan gotcha:** match the gadget interface by `name: usb0`. A `macaddress:` match becomes
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`PermanentMACAddress=` in networkd, which a gadget interface lacks, so it stays unmanaged.
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- talos (Omarchy, NetworkManager): `host/omarchy/robot-usb-link.sh` (needs sudo) adds profile
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`hermes-robot-usb`: `10.55.0.1/30` on the interface with MAC `02:68:65:72:6d:01`, priority 100,
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never-default. Verified from talos: ping ~2.4 ms, SSH over the link.
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- **Firewall:** `robot-firewall.service` loads `pi/nftables-robot.nft` before networking at every
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boot (`pi/install-firewall.sh`; it must be loaded before the PipeWire network server is enabled).
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It accepts 4713/8765/8766 only on `usb0` from `10.55.0.1`, drops them elsewhere, and drops DDS on
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every interface but loopback. Verified: from talos, 4713 connects over `usb0` and times out over
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Wi-Fi, while an unused port on the Pi's Wi-Fi address refuses instantly (so only 4713 is blocked).
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SSH is deliberately left open on all interfaces (key-only), for V2; the owner's call.
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- Not yet verified: serial login prompt (talos's `/dev/ttyACM0` is `root:uucp`; use
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`sudo screen /dev/ttyACM0 115200`). The `hermes` account has no password, so the console shows a
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login prompt but cannot log in until the owner sets one; no autologin by design. Also not done:
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the Pi booting with Wi-Fi off, replug and second-host recovery,
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`get_throttled` after a servo sweep on the splitter, the NixOS snippet, and straylight/other-host
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testing. Currently the Pi is powered from talos's USB port (bench test, no servos).
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## Face (`ros/hermes_face`)
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- `render.py`: numpy port of `docs/face-prototype.html`, **flat face only** (head and lowpoly not
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ported). Phosphor and vector styles. States: `sleeping idle listening thinking looking speaking`.
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`sleeping` (new) is the "no agent connected" pose: eyes closed to thin lines, mouth short, dim and
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slowly breathing. `looking` returns to the state it interrupted. Tone mapping is a lookup table
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(RGB and RGB565 tables), glow is computed at half resolution, rotation is a free `np.rot90`.
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- `display.py`: ST7789 driver plus an async pusher (render overlaps the SPI transfer).
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- `face_node.py`: node `hermes_face`; subscribes `/hermes/state` (`std_msgs/String`) and
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`/joint_states` (`pan_joint`, `tilt_joint`, radians); starts in `initial_state` (`sleeping`), so it
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runs with nothing else up. Parameters: `rotation` (270), `x_offset` (0), `y_offset` (80),
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`baudrate`, `fps`, `output` (`st7789` or `none`), `phosphor` (P7), `style`, `persistence_ms`,
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`focus`, `jitter`, `intensity`, `initial_state`.
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- `demo.py`: no ROS. `python -m hermes_face.demo --sequence` cycles the states on the panel;
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`--png-dir DIR` writes a PNG per state without hardware.
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- Tests: `python3 -m pytest test` in `ros/hermes_face` (25 pass on the Pi). Renderer parameters
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(`focus`, `persistence_ms`, `intensity`, `jitter`) are clamped; `fps` is clamped to 1-60.
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- Measured on the Pi 4: ~9 ms per frame in isolation. With the CPU at full clock: 24% of a core at
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20 fps and 40% at 30 fps (target was under 40% at 20 fps or more). Under `ondemand` the same
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load reads 40% at 20 fps and ~67% at 30 fps. No C++ rewrite was needed.
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- **Gaze:** the node subscribes to `/vision/faces` (and `/camera/camera_info` for the image size)
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and the eyes glance toward the best face: a recognised one first, then the biggest. Image x flips
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on the display (a person on the image's right is on the robot's right, the viewer's left); the
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glance is smoothed, held 2.5 s, then drifts back to centre. Sleeping ignores it. The pan sign in
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the renderer was wrong (carried over from the prototype) and is fixed: positive pan = the robot's
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left = the viewer's right, positive tilt = looks up, as the MCP `turn_head` tool documents.
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**Confirmed by the owner on the real display (2026-10-04):** the glance directions look right.
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An earlier run showed nothing because the one-off wake message was lost (volatile QoS drops a
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sample published before discovery matches); test publishers must republish, as `hermes_mcp`
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will. The node logs every state change (`state: idle (agent=..., audio=...)`), so behaviour can be
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checked from `journalctl -u robot-face` without watching the panel.
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- **Agent heartbeat:** `/hermes/state` doubles as the agent's heartbeat. `hermes_mcp` must republish
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its state about once a second; after `agent_timeout_s` (default 10, 0 disables) with none, the
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face logs `agent gone, sleeping` and sleeps, so "sleeping" means "no agent connected". Verified:
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woke on messages, slept 10 s after the last.
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- Not yet: audio levels for the mouth (`/audio/levels`), `hermes_mcp` publishing states, launch
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file in `hermes_bringup`, head/lowpoly shapes, DotStar LEDs, button mute.
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- Open: IPS black level. The backlight is on at full brightness, so black reads dark gray on
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camera. Dimming it needs a software PWM on GPIO26 (not a hardware PWM pin).
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## Audio levels and the literal voice trace (`ros/hermes_audio`, face integration)
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- `hermes_audio` node `audio_state` taps the default source and the default sink's monitor with
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`parec` (16 kHz mono) and publishes `/audio/levels` ([mic_dbfs, speaker_dbfs]), `/audio/activity`
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(`speaking` | `listening` | `quiet`) and trigger-locked waveform windows `/audio/scope/{mic,speaker}`
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(256 samples). Audio itself never goes through ROS. `hermes_audio.levels.Activity` debounces and
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keeps an adaptive noise floor: a 3 s start-up calibration, then it drops fast and rises slowly, and
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anything 'listening' without a gap for 8 s is absorbed as ambient noise. The microphone is ignored
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while speaking (it would hear the robot).
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- The face arbitrates (`hermes_face.arbiter`): sleeping (agent side only) > speaking > listening >
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thinking > idle. **Room sound never wakes a sleeping face**: sleeping means "no agent connected".
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`looking` stays a timed event owned by the renderer. While fresh (< 0.35 s) scope data exists, the
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mouth draws the real waveform (speaker when speaking, mic when listening), auto-scaled.
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- **WirePlumber resets the codec's capture gain** to 100% (+30 dB) when it takes the device,
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overriding `alsactl`'s saved level. Fix: `pactl set-source-volume @DEFAULT_SOURCE@ 63%` (PipeWire's
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scale is cubic: 63% is -12 dB from the +30 dB maximum, so ALSA `Capture` lands at 46, about +17
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dB). WirePlumber remembers it; recheck after a reboot. The quiet-room floor at this gain is about
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-43 dBFS (preamp and mic noise).
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- **Confirmed by the owner:** the mouth draws their live voice and its size follows how close and
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loud they are (proportional). The activity detector was retuned after the log showed the face
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flickering between listening and idle about twice a second: margin 7 dB (quiet-room noise peaks
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sit at about +3 dB over the floor), hold 1.2 s so pauses between words do not drop it. The
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flicker fix is covered by unit tests but not yet re-confirmed live (the retest window was silent).
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- Verified on the Pi: the `speaking` path (a tone played to the sink, with no speaker attached, shows
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on the monitor at -13.5 dBFS, `speaking` for its length, mic ignored); levels and scope publish;
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49 face tests, 10 audio tests. **Not yet verified:** the audio node as a service (it was run as a
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transient unit).
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## The MCP bridge (`ros/hermes_mcp`)
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The only way in or out of the ROS graph. Serves MCP (SDK 2.3, streamable HTTP) on
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`http://10.55.0.2:8765/mcp`, the USB address only (retrying the bind if the link is not up yet), with
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a bearer token. **Tool names are the stable contract with Hermes**: `look()`, `faces()`, `list_people()`, and `turn_head` /
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`head_position` only when a head is fitted. With no servos those two are not registered, by design
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(`head: false`; the node refuses `head: true` until `hermes_head` exists). `look()` waits for the next
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camera frame taken after the call (never a stale one) and passes the camera's JPEG through (1296x972,
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~155 KB); it also publishes `looking` on `/hermes/state` so the face squints and flashes.
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While an authenticated client is connected (in flight, or heard within `connected_grace_s` = 30) it
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republishes `idle` on `/hermes/state` once a second: the agent heartbeat that wakes the face. Verified
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end to end from talos over the USB link with a real MCP client: connects, lists `look`, `look()`
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returns a JPEG in 0.08 s, a wrong token is refused, the Wi-Fi path is dropped by the firewall, and
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the face went `looking` -> `idle` on connect and `agent gone, sleeping` about 40 s after the client
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left. The token is in `/etc/robot-mcp.env` (root:hermes, mode 640), generated by
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`pi/install-robot-service.sh` and never printed; read it with `sudo cat`. The MCP SDK is in `~/venv`
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(`pip install "mcp>=2"`). The old Pi Zero files (`pi/robot_mcp_server.py`, `pi/robot-mcp.service`,
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`pi/requirements.txt`, the old `pi/install.sh`, and `tools/`) were deleted (git has them). **Not yet verified:** a real Hermes client, and
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whether Hermes passes MCP image content to the model (HANDOFF package 6).
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**Hermes on talos is wired to it (2026-10-05, with the owner's authorisation).** Hermes Agent v0.21.5 is
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installed on talos (`~/.hermes`; hosted main model `grok-4.6` via xai-oauth; vision is auxiliary and
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runs locally, `qwen3-vl-8b-abliterated` on straylight; the `ornith-*` models are the local ones on
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straylight/dixie). `~/.hermes/config.yaml` gained an `mcp_servers.robot` block (URL
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`http://10.55.0.2:8765/mcp`, `Authorization: Bearer ${ROBOT_MCP_TOKEN}`) and `~/.hermes/.env` gained
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`ROBOT_MCP_TOKEN`; backups are `config.yaml.bak-20261005T002659-robot-mcp` and
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`.env.bak-20261005T002659-robot-mcp`. `hermes mcp list` shows it enabled and **`hermes mcp test
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robot` passes: connected in 789 ms, 1 tool (`look`)**, which is the HANDOFF acceptance check. A fresh
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`HERMES_HOME` hangs on first-run setup, so test against the real one.
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**A real agent turn works, entirely on local models (2026-10-05):** `hermes chat -q "Call the look tool
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once ... what you see" --oneshot -Q --provider custom:llama-router -m ornith-1.5-35b-a3b --max-turns 4`
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(straylight's router; no hosted provider, so the image stayed on the LAN). Hermes called
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`mcp__robot__look` (0.07 s), the model described the live photo correctly (blurry close-up of a board
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with blue LEDs, a red label, camouflage fabric), and the robot's face went `looking` -> `idle`.
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**Hermes does not hand MCP image content to the main model.** It saves the JPEG to
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`~/.hermes/cache/images/img_<hash>.jpg` on talos (157,147 bytes, the same as the robot sent) and
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returns a 72-character reference; the model then calls Hermes's `vision_analyze`, which ran on the local
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vision model (`qwen3-vl-8b-abliterated` on straylight) in 29 s. That is HANDOFF package 6's fallback and
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Hermes does it itself, so `look()` needs no change. Two consequences: each look() leaves a photo of the
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room in talos's Hermes image cache (Hermes's retention, not the robot's), and a look-and-describe turn
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takes ~70 s on the local models, mostly the vision call.
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### Hermes's feedback on the bridge (2026-10-05) and what was done
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Hermes (on talos, from `~/.hermes/cache/scratch/hermes-bot-v0-face-identity.md`) asked for recognitions
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instead of raw photos. **Built:** `faces()` returns the faces in view as structured JSON with no photo
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(`track_id`, pixel and normalised `bbox`, detection `confidence`, `seen_for_s`, and `identity`
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`{name, similarity}` or `null`); `look(send_image="always"|"never")` now returns that same JSON as a
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text block plus the photo (default kept as before: the image, so scene description still works);
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`list_people()` gives names and sample counts; a `robot://status` resource (hardware present or
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absent, what is detected, enrolled count, tools) and prompts `who_is_here` and `look_around` fill the
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previously empty `list_resources` / `list_prompts`; `/vision/faces` carries a persistent track id
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(`hermes_vision.tracking.FaceTracker`, matching by box overlap, identity re-checked once a second;
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`Detection2D.id` is the track id, `results[0]` the face, `results[1]` the identity if recognised).
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Verified with a real Hermes turn on the local `ornith` model: it called `faces()` (0.03 s, 593
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characters, no image, no vision call) and answered that Kyle was there at 0.78 similarity.
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**Declined, deliberately:** embeddings in responses (biometric templates, meaningless to an LLM,
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and the registry stays on the robot); age/gender/hat attributes (no model for them here, and guessing
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age and gender from faces is unreliable and sensitive); auto-updating a person's face data from new
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captures (it lets a stranger slowly become "Kyle" with nobody deciding that); a remote `enroll` tool
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|
(a prompt could make the robot call anyone "Kyle": enrolment stays the owner's step on the robot,
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`python3 -m hermes_vision.people enroll NAME`; a gated enrol tool, off by default, is possible if the
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owner wants it); detecting people, objects or motion (only faces exist, and `robot://status` says so).
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`look()`'s default was not flipped to JSON-only, because the image is what lets Hermes describe a
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scene; that default is the owner's call.
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## Face recognition (opt-in)
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`hermes_vision.recognize` / `people`: SFace embeddings on YuNet's landmarks. Nothing is stored until
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someone is enrolled (`python -m hermes_vision.people enroll NAME`, live from the camera topic, or
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`enroll-images`); only 128-number embeddings are kept, in `~/.local/share/hermes/faces.json` (mode
|
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0600, directory 0700, written atomically), never images. `list`, `forget NAME` and `check IMAGE`
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manage and test it. The detector node puts a recognised name in `Detection2D.id` and picks up
|
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database changes without a restart; its log prints a count, not names. Checked with a throwaway
|
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database: 8 of 9 unenrolled frames of the same person were recognised, down to side profiles
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(similarity 0.52-0.66), the miss being a head tipped back (0.34 against the 0.363 threshold); an
|
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unrelated photo scored 0.16. **Nobody is enrolled yet**; the owner enrols themselves live.
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## Next
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1. **Camera calibration: tool built and tested, not yet run.** `python3 -m hermes_vision.calibrate
|
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--cols 9 --rows 6 --square-mm <measured>` (after `source ~/robot-env.sh`, robot running) collects 20
|
|
varied views of a checkerboard (`docs/checkerboard-9x6.png` can be shown on a screen; measure a
|
|
square), solves with OpenCV and writes the camera_info YAML camera_ros looks for
|
|
(`~/.ros/camera_info/ov5647__base_soc_i2c0mux_i2c_1_ov5647_36_1296x972.yaml`: the name includes the
|
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resolution). The solver recovers a known synthetic camera to within 1%. It needs the owner holding a
|
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board in front of the camera, and the lens focus set first (the lens turns if not glued; earlier
|
|
close-range frames were blurry). V2's perception needs the result.
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|
2. Waiting on hardware: the servos (`hermes_head`, the pan/tilt URDF, then `head: true`), the speakers
|
|
(playback, echo cancel, the `robot_mic` naming on the host, Hermes talking aloud), the fan (before
|
|
any enclosure), the splitter, the printed enclosure (measure first, see `enclosure/README.md`).
|
|
3. Still open: replug and second-host recovery of the USB link, the serial console login, an
|
|
`agent_timeout_s` check against a long idle Hermes session, the retuned listening detector live
|
|
(unit-tested only), a second person in frame, running `pi/install.sh` on a blank card, and the
|
|
NixOS host config (skipped for now by the owner).
|
|
4. A new Omarchy host with a GPU (it runs the local `ornith` model) is arriving: it needs only
|
|
`host/omarchy/robot-usb-link.sh` and its SSH key added to the Pi.
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|
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## Repository
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|
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Branch `master`. `.gitignore` covers `.remember/`, caches, `.venv/`, `*.orig`, `*.rej` and
|
|
`pi/50-cloud-init.yaml`. Layout: `ros/` (five packages), `pi/` (everything installed on the Pi),
|
|
`host/` (the owner's machines: `host/omarchy/` has the USB link script, Hermes and PipeWire config and
|
|
the launcher; `host/check-pi-platform.sh`), `enclosure/`, `docs/face-prototype.html`. `README.md` is
|
|
rewritten for this build. **`pi/install.sh` is the one installer** (re-runnable: run twice on the live
|
|
robot, the second run changed nothing, exit 0): it installs ROS, builds the libcamera fork (pinned
|
|
commit) and `camera_ros`, sets up the venv, models, workspace, USB gadget, audio overlay, firewall,
|
|
PipeWire, mixer and services. It has not been run on a blank card (no spare card). HANDOFF.md is the
|
|
original brief and has drifted; where they differ, this file wins.
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|
|
## Security notes (all resolved)
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|
|
|
The automated review of the initial commit flagged three items, all from the Pi Zero design:
|
|
`ROBOT_MCP_BIND` defaulting to `0.0.0.0` (now the USB address only, with a bearer token), PipeWire on
|
|
TCP 4713 on every interface (now protected by the boot-time firewall, which loads first), and the
|
|
single-IP any-interface nftables file (rewritten: usb0 from 10.55.0.1 only). Later reviews added:
|
|
DDS is blocked on every interface and discovery is local-only; recognised names are not logged; node
|
|
parameters are clamped. SSH stays open on all interfaces (key-only) by the owner's choice, for V2.
|