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- CHANGELOG.md (Keep-a-Changelog, dated entries from git history) - README: production pipeline framing, config table, layout, flags, changelog link - configuration.md: legacy env overrides, zones geometry-only, archive paths - scripts.md: current flags, correct archive/ paths, tracked vs ignored weights - deployment.md: config.yaml in sync list, model_mode location, /api/model-modes - models.md + architecture.md: config.yaml pointers, deprecated src/config.py
107 lines
5.5 KiB
Markdown
107 lines
5.5 KiB
Markdown
# Configuration
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Canonical source: **`config.yaml`** (repo root) — stream, models, counting knobs,
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batch, output paths, camera. Loaded once at startup via `src/config_loader.py`
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(stdlib dataclasses + pyyaml, no heavy deps). Secrets & deployment-only values
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stay in `.env`. Zone polygons stay in `zones.json`. Tracker hyperparams stay in
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`cfg/tracker.yaml`.
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```
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config.yaml canonical: stream/models/counting/batch/output/camera
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.env secrets + deployment: RTSP_URL, dashboard host/ports/secret/site
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zones.json geometry: palet/truck/counting polygons + left/right limits
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cfg/tracker.yaml tracker hyperparams (FastTrack/ByteTrack tuning)
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```
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Model modes are **data** (`config.yaml` → `models.modes`): each preset declares
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only `engines` (path key + contributed classes) and `class_filters`.
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Per-class `conf`/`iou`/`min_bbox_area` live in `models.detection_params` and
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apply to ALL modes. Adding mode E/F/... is a YAML-only change — `predict.py`
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derives tracker roles structurally, and the dashboard `/api/model-modes`
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endpoint lists them automatically.
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Mode switch: dashboard `POST /api/batch/mode {"model_mode": "X"}` validates
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against `config.yaml` and persists atomically (tmp+replace, comments preserved)
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to `models.active_mode`. **Manual `karung-counter` restart still required**
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(models load once at startup). `batch_mode.json` keeps only the manual/auto
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batch `mode`; its legacy `model_mode` key is ignored (warned). `MODEL_MODE`
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env var still overrides for one run but is deprecated (warned).
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Template: `.env.example`. Production values live in `.env` (git-ignored).
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Missing `config.yaml` falls back to `.env` + built-in defaults with a warning
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(see `src/config_loader.py`); explicit legacy path env vars below still override
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when set.
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## 1. `.env` (secrets & deployment — `predict.py` / `counter_dashboard.py`)
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| Key | Default | Meaning |
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| `OUTPUT_DIR` | `/opt/jetson-counter` | Legacy override of `output.dir` when set |
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| `DB_PATH` | `$OUTPUT_DIR/jetson_counter.db` | Legacy override of the SQLite path when set |
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| `STATE_FILE` | `$OUTPUT_DIR/current_batch.json` | Legacy override of the live batch state path when set |
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| `BATCH_MODE_FILE` | `$OUTPUT_DIR/batch_mode.json` | Legacy override (file keeps only manual/auto batch mode now) |
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| `LIVE_STREAM_FRAME_PATH` | `/dev/shm/jetson-counter/live_frame.jpg` | Legacy override of the annotated frame path when set |
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| `CAMERA_NAME` | `CC1` | Camera tag stored per batch |
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| `OBJECT_LABEL` | `karung-pakan` | Object tag stored per batch |
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| `DAILY_CUTOFF_TIME` | `06:00` | Counting-day boundary (`get_counting_date`) |
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| `SECRET_KEY` | — | Flask session key (**change in production**) |
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| `DASHBOARD_HOST` / `DASHBOARD_PORT` | `0.0.0.0` / `5000` | Dashboard bind |
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| `OFFICE_PORT` | `5721` | Second dashboard port |
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| `FLASK_DEBUG` | `false` | Flask debug |
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| `RTSP_URL` | — | Camera stream URL (env-only, never in YAML) |
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| `MODEL_PATH` | — (deprecated) | Single-file v4 override, folded into `models.paths` |
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| `MODEL_MODE` | — (deprecated) | One-run override of `models.active_mode` (warned) |
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| `BATCH_MERGE_THRESHOLD_SECONDS` | `300` | Merge window for adjacent batches |
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On Windows dev machines these resolve to `d:/Belajar/menghitung karung/...`.
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## 2. `src/config.py` keys (deprecated v3 `src/main.py --env`)
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⚠️ **Deprecated** — the v3 loop is retired; production uses `config.yaml` via
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`src/config_loader.py`. Documented here only because the old keys still exist
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in code. Do not add new keys here.
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⚠️ **Different names** from the table above — the v3 loader uses its own keys:
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| Key | Default |
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|---|---|
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| `LOCAL_RTSP` / `JETSON_RTSP` | `""` |
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| `MODEL_SACK_PATH` / `MODEL_TRUCK_PATH` | `./models/best.engine`, `./models/truck-detector.engine` |
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| `COUNTING_LINE_Y` / `_X_START` / `_X_END` | `0.60` / `0.38` / `0.72` (fractions; initial line before ROI sync) |
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| `SACK_CONF_THRESHOLD` / `TRUCK_CONF_THRESHOLD` | `0.40` / `0.50` |
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| `BATCH_TIMEOUT_SECONDS` | `30` |
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| `CSV_OUTPUT_DIR` | `./output` |
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| `DATA_SEED` | `42` |
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CLI: `python -m src.main --source video.mp4 --env .env`.
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## 3. `zones.json` (calibrated geometry, 1920×1080 reference)
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- `palet` / `truck` / `counting` — zone polygons; scaled to actual resolution
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at startup.
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- `left_limit` / `right_limit` (`0.27578` / `0.72578`) — counting X band.
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- `external_stream_url` — MediaMTX restream endpoint.
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- Legacy knob keys (`duplicate_circle_radius`, `min_valid_area`,
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`jarak_toleransi_duplikat`, `max_reid_transit_distance`,
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`circle_stay_timeout_sec`, `inference_stride`, `confirm_delay_sec`,
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`exit_confirm_delay_sec`) are **ignored with a warning** — they moved to
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`config.yaml counting.*` / `stream.inference_stride`. Keep only geometry here.
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Recalibrate with `archive/get_coordinates.py` / `archive/get_calib_frame.py`
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(`calib_frame.jpg`).
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## 4. `cfg/tracker.yaml` (FastTrack/ByteTrack tuning)
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`track_buffer=60` (~2.4 s lost-track hold for worker occlusion), `new_track_thresh=0.30`
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(anti-duplicate IDs), `track_high/low_thresh=0.20/0.05`, `match_thresh=0.85`,
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`active_occ_to_lost_thresh=15`, `occ_reappear_window=60`, `enlarge_bbox_occ=1.15`,
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`occ_cover_thresh=0.6`, Kalman offsets + `init_iou_suppress=0.65`.
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Falls back to stock `bytetrack.yaml` if the file is missing (`src/tracking.py:39`).
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## 5. `archive/rpo_iki/configs/` (retired alternate engine, not imported)
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`area_truk*.json` (per-camera truck areas), `cameras.json` (cam1/cam2 RTSP),
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`counting_params.json` (+ `counting_params_last_truck.json`, hot-reloaded by
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`count.py`), `model_registry.json` (pinned model + metrics), `telegram.json`
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(notification settings).
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