Give Hermes recognitions, not just photos: faces(), tracking ids, discovery
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
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@@ -116,6 +116,13 @@ chown -R "$ROBOT_USER:$ROBOT_USER" "$HOME_DIR/ros_ws/src"
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as_user bash -c "source /opt/ros/jazzy/setup.bash && source '$HOME_DIR/camera_ws/install/setup.bash' \
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&& cd '$HOME_DIR/ros_ws' && colcon build --symlink-install"
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step "Camera calibration (this camera's, from pi/calibration; an existing file is never overwritten)"
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as_user mkdir -p "$HOME_DIR/.ros/camera_info"
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for f in "$PI_DIR"/calibration/*.yaml; do
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[ -e "$f" ] || continue
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[ -e "$HOME_DIR/.ros/camera_info/$(basename "$f")" ] || install -o "$ROBOT_USER" -g "$ROBOT_USER" -m 644 "$f" "$HOME_DIR/.ros/camera_info/"
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done
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step "USB gadget (NCM Ethernet + ACM serial) and the audio codec overlay"
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before="$(cfg_sum)"
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bash "$PI_DIR/install-usb-gadget.sh"
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