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
·/ .gitea/workflows/verify.yml
yaml · 1.1 KB · 960005c Download
name: Verify reference MVPon: push: branches: [main] pull_request:jobs: verify: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Validate contracts run: | python -m json.tool .asw/quality-profile.json >/dev/null python -m json.tool contracts/component.interface.json >/dev/null python -m json.tool release/manifest.json >/dev/null - name: Static analysis run: python tools/quality_scan.py static --output dist/quality/static-analysis.json - name: Dynamic analysis run: python tools/quality_scan.py dynamic --output dist/quality/dynamic-analysis.json - name: Assemble quality summary run: python tools/quality_scan.py summary --output dist/quality/summary.json - name: Build evidence package run: | tar -czf dist/reference-mvp.tar.gz asw_component contracts examples release .asw README.md run.py sha256sum dist/reference-mvp.tar.gz > dist/checksums.sha256 - uses: christopherhx/gitea-upload-artifact@v4 with: name: reference-mvp-evidence path: dist retention-days: 30