julian
4af8b56dda
Make the vision service genuinely configurable (was env-only). - SetupWizard: an "ANPR" checkbox on the camera form (writes config.anpr; persisted only when on; sq+en) — opt-in is no longer raw JSON. - DeviceMonitor optionally takes the VisionClient and probes /health each tick, emitting a "vision" pseudo-device → a Vision chip (ready/degraded/offline + recognizer) in the booth footer when VISION_ENABLED, no chip when off. Widened the DeviceStatus category union (server + web) + footer maps + devices.catVision. Verified: ready/fast_alpr when up, 0 chips when disabled. - apps/vision/.env.example (Python service) + a VISION_* block in apps/server/.env.example (Node side) + a Configuration section in opencv-anpr-service.md covering all four layers and the caveats: the two processes share the VISION_ prefix but need SEPARATE .env files; bind /analyze to 127.0.0.1; cache model weights at deploy; an unbound anpr camera recognizes but every read is refused. Build + lint green. Claude-Session: https://claude.ai/code/session_01Xcm6ikLgGoCxxHrxtjkk5V
23 lines
1.2 KiB
Bash
23 lines
1.2 KiB
Bash
# apps/vision — the ANPR microservice's own env (copy to apps/vision/.env).
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# This is the PYTHON SERVICE's config only. The Node server has its OWN VISION_* vars
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# (in apps/server/.env) — keep the two .env files SEPARATE (they share the VISION_
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# prefix but are different processes). See wiki/entities/opencv-anpr-service.md "Configuration".
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# Recognizer: "stub" (no models, recognizes nothing — boots anywhere, for dev/CI) or
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# "fast_alpr" (the real MIT YOLOv9+CCT/ONNX stack — needs `uv sync --extra alpr`).
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VISION_RECOGNIZER=fast_alpr
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# Bind. On the appliance prefer 127.0.0.1 — the Node backend is the only caller, so the
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# /analyze endpoint should NOT be reachable off-host. (0.0.0.0 only if you must.)
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VISION_HOST=127.0.0.1
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VISION_PORT=8089
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# fast-alpr models (only used when recognizer=fast_alpr). The defaults won the Albanian
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# benchmark; change the OCR to european-plates-mobile-vit-v2-model only to re-test.
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VISION_DETECTOR_MODEL=yolo-v9-t-384-license-plate-end2end
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VISION_OCR_MODEL=cct-xs-v2-global-model
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# Confidence floor — a best plate below this is flagged low_confidence so the Node side
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# treats it as advisory and falls back to the ticket path. Keep in sync with the server.
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VISION_MIN_CONFIDENCE=0.5
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