hermes_vision.calibrate collects 20 varied checkerboard views from the camera topic
(rejecting repeats of a pose, which constrain nothing), solves with OpenCV and writes
the camera_info YAML camera_ros loads, named with the resolution as it expects.
Tested: the solver recovers a known synthetic camera (focal length within 1%), the
YAML round-trips, and real board detection works on a rendered board. Not yet run on
the real camera: it needs someone holding a board in front of it, with the focus set.
docs/checkerboard-9x6.png is a 10x7-square board that can be shown on a screen.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AFN8nRRCiDiMN7ChBpHJhs
