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
1 items · feat/concrete-mvp-v2
·/ .asw/quality-profile.json
json · 918 B · 7c50ca4 Download
{ "schemaVersion": "asw.quality-profile/v1", "repository": "metafarmers/fruit-work-target-perception", "scope": "runtime-component", "language": "python", "runtime": "python>=3.11", "staticAnalysis": { "adapter": "python-ast-policy", "command": "python tools/quality_scan.py static --output dist/quality/static-analysis.json", "reportFormat": "asw.quality-result/v1", "required": true, "thresholds": { "critical": 0, "high": 0, "complexityWarning": 12 } }, "dynamicAnalysis": { "adapter": "unittest-scenario", "command": "python tools/quality_scan.py dynamic --output dist/quality/dynamic-analysis.json", "reportFormat": "asw.quality-result/v1", "required": true, "thresholds": { "minimumPassRate": 1 } }, "evidence": [ "quality/static-analysis.json", "quality/dynamic-analysis.json", "quality/summary.json" ]}