kyleandClaude Sonnet 5.5
3b65697f1e
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
21 lines
648 B
XML
21 lines
648 B
XML
<?xml version="1.0"?>
|
|
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
|
|
<package format="3">
|
|
<name>hermes_mcp</name>
|
|
<version>0.1.0</version>
|
|
<description>The MCP bridge: Hermes's only way in or out of the robot's ROS graph.</description>
|
|
<maintainer email="noreply@example.com">K. Isom</maintainer>
|
|
<license>UNLICENSED</license>
|
|
|
|
<depend>rclpy</depend>
|
|
<depend>sensor_msgs</depend>
|
|
<depend>std_msgs</depend>
|
|
<depend>vision_msgs</depend>
|
|
|
|
<test_depend>python3-pytest</test_depend>
|
|
|
|
<export>
|
|
<build_type>ament_python</build_type>
|
|
</export>
|
|
</package>
|