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hyeokjun32 merged 1 commit into from
May 14, 2026
Merged

Sync ecosystem layer positioning #220

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10 changes: 5 additions & 5 deletions README.ko.md
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Original file line number Diff line number Diff line change
Expand Up @@ -17,8 +17,8 @@ ONNX model
-> optional InferEdgeAIGuard deterministic diagnosis evidence
-> deploy / review / blocked decision

Supporting sidecar:
InferEdgeEnv -> local-first run evidence registry / comparability checker
Experiment hygiene / comparability layer:
InferEdgeEnv -> v0.1.5 v1-complete local-first run evidence registry / comparability checker
```

## Summary
Expand All @@ -27,7 +27,7 @@ InferEdgeEnv -> local-first run evidence registry / comparability checker
- Real device execution: Jetson TensorRT + ONNX Runtime CPU
- Structured comparison: latency, accuracy, validation evidence
- Deployment decision: deployable / review / blocked
- Sidecar evidence registry: InferEdgeEnv는 Lab decision과 분리된 local benchmark evidence와 comparability를 기록
- Comparability layer: InferEdgeEnv `v0.1.5`는 Lab decision과 분리된 local benchmark evidence와 comparability를 기록
- Local Studio: inference validation을 브라우저에서 확인하는 local-first workflow UI

## What Makes InferEdge Different?
Expand Down Expand Up @@ -113,9 +113,9 @@ bash scripts/demo_pipeline_full.sh --run-jetson-command-print
- **InferEdge-Runtime:** Forge artifact 또는 Lab worker request를 받아 C++ 실행/검증 결과 JSON을 생성합니다.
- **InferEdgeLab:** 결과를 비교/리포트/API/job/deployment decision으로 정리하는 owner입니다.
- **InferEdgeAIGuard:** provenance mismatch나 suspicious result를 rule/evidence 기반으로 진단하는 optional evidence layer입니다.
- **InferEdgeEnv:** Edge AI inference benchmark result를 local artifact와 SQLite registry로 고정하고 비교 가능성을 판정하는 local-first run evidence registry입니다.
- **InferEdgeEnv:** `v0.1.5` v1-complete experiment hygiene / comparability layer로, Edge AI inference benchmark result를 local artifact와 SQLite registry로 고정하고 비교 가능성을 판정합니다.

포트폴리오 경계: InferEdgeLab은 validation / decision layer이고, InferEdgeEnv는 run evidence registry / comparability layer입니다. InferEdge는 모델이 배포 가능한지 검증하고, InferEdgeEnv는 benchmark evidence가 신뢰 가능하고 비교 가능한 형태로 기록됐는지 관리합니다.
포트폴리오 경계: InferEdgeLab은 validation / decision layer이고, InferEdgeEnv는 `v0.1.5` v1-complete experiment hygiene / comparability layer입니다. InferEdge는 모델이 배포 가능한지 검증하고, InferEdgeEnv는 benchmark evidence가 신뢰 가능하고 비교 가능한 형태로 기록됐는지 관리합니다.

## 현재 범위와 future work

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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -17,7 +17,7 @@ Language: English | [한국어](README.ko.md)
- Real device execution: Jetson TensorRT + ONNX Runtime CPU
- Structured comparison: latency, accuracy, and validation evidence
- Deployment decision: deployable / review / blocked
- Sidecar evidence registry: InferEdgeEnv records local benchmark evidence and comparability separately from Lab decisions
- Comparability layer: InferEdgeEnv v0.1.5 records local benchmark evidence and comparability separately from Lab decisions
- Local Studio: interactive workflow UI for inference validation

## What Makes InferEdge Different?
Expand Down Expand Up @@ -46,8 +46,8 @@ ONNX model
-> optional InferEdgeAIGuard provenance diagnosis
-> deploy / review / blocked decision

Supporting sidecar:
InferEdgeEnv -> local-first run evidence registry / comparability checker
Experiment hygiene / comparability layer:
InferEdgeEnv -> v0.1.5 v1-complete local-first run evidence registry / comparability checker
```

Repository roles are deliberately split:
Expand All @@ -56,9 +56,9 @@ Repository roles are deliberately split:
- **InferEdgeRuntime:** C++ execution, profiling, result export, and worker response boundary.
- **InferEdgeLab:** compare/report/API/job workflow and final deployment decision ownership.
- **InferEdgeAIGuard:** optional rule + evidence based failure and provenance diagnosis.
- **InferEdgeEnv:** local-first run evidence registry and comparability checker for Edge AI inference benchmark results.
- **InferEdgeEnv:** v0.1.5 v1-complete experiment hygiene / comparability layer; local-first run evidence registry and comparability checker for Edge AI inference benchmark results.

Portfolio boundary: InferEdgeLab is the validation / decision layer. InferEdgeEnv is the run evidence registry / comparability layer. InferEdge validates whether a model is deployable; InferEdgeEnv records whether benchmark evidence can be trusted and compared.
Portfolio boundary: InferEdgeLab is the validation / decision layer. InferEdgeEnv is the v0.1.5 v1-complete experiment hygiene / comparability layer. InferEdge validates whether a model is deployable; InferEdgeEnv records whether benchmark evidence can be trusted and compared.

Implemented today: Lab API response contract, `/api/compare`, `/api/analyze` in-memory jobs, worker request/response mappings, Runtime dry-run validation/export, Forge worker/runtime summary, AIGuard provenance mismatch diagnosis, Lab decision/report evidence smoke coverage, dev-only Lab -> Runtime ONNX Runtime smoke using `yolov8n.onnx`, manual Jetson TensorRT Runtime smoke using a Forge manifest plus TensorRT engine artifact, and Runtime source-model identity preservation for compare-ready TensorRT engine results.

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