REPOSITORY
metafarmers/fruit-work-target-perception Private
[참조 MVP] 과채류 작업대상 인식 — RGB-D 관측에서 과실과 생장점을 식별하고 로봇 작업 후보를 구조화하는 참조 MVP입니다.
https://git.agrithing.ai/metafarmers/fruit-work-target-perception.git 54a9587 feat: 과채류 작업대상 인식 구체 MVP 구현
bb3f276 ci: add static dynamic and evidence gates
66d6ea9 feat: add executable institution reference MVP
bee1524 docs: define product role and interface contract
12 items · feat/concrete-mvp-v2
.asw directory → .gitea directory → asw_component directory → contracts directory → examples directory → release directory → tests directory → tools directory → NOTICE.md 167 B → pyproject.toml 225 B → README.md 1.1 KB → run.py 309 B →
·/ run.py
python · 309 B · e9d5621 Download
from __future__ import annotationsimport jsonimport sysfrom asw_component import executepath = sys.argv[1] if len(sys.argv) > 1 else Nonewith open(path, encoding="utf-8") if path else sys.stdin as source: payload = json.load(source)print(json.dumps(execute(payload), ensure_ascii=False, indent=2))