kyleandClaude Sonnet 5.5
cf711060d0
SFace embeddings on top of YuNet's landmarks. Nothing is stored until someone is enrolled with `python -m hermes_vision.people enroll NAME`; only 128-number embeddings are kept, never images, in a 0600 JSON file under a 0700 directory, written atomically. `list` and `forget` manage it. The detector node puts a recognised name in Detection2D.id (empty if unknown) and picks up database changes without a restart. Checked with a throwaway database on the burst frames: eight of nine unenrolled frames were recognised, down to side profiles (similarity 0.52-0.66), the miss being a head tipped back at 0.34 against the 0.363 threshold, and an unrelated photo scored 0.16 and stayed unknown. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01AFN8nRRCiDiMN7ChBpHJhs
27 lines
790 B
Python
27 lines
790 B
Python
from setuptools import find_packages, setup
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package_name = 'hermes_vision'
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setup(
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name=package_name,
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version='0.1.0',
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packages=find_packages(exclude=['test']),
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data_files=[
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('share/ament_index/resource_index/packages', ['resource/' + package_name]),
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('share/' + package_name, ['package.xml']),
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],
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install_requires=['setuptools'],
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zip_safe=True,
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maintainer='K. Isom',
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maintainer_email='noreply@example.com',
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description='Face detection for the Hermes robot.',
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license='UNLICENSED',
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entry_points={
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'console_scripts': [
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'face_detector = hermes_vision.face_detector_node:main',
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'detect_faces = hermes_vision.detect_cli:main',
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'people = hermes_vision.people:main',
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],
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},
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)
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