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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
75 lines
3.7 KiB
Markdown
75 lines
3.7 KiB
Markdown
# Changelog
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All notable changes to this project are documented here. Format follows
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[Keep a Changelog](https://keepachangelog.com/en/1.1.0/) (dated entries; no
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version tags are cut in this repo — POC stage, `main` is the release line).
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## [Unreleased]
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Nothing pending.
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## 2026-09-17 — Unified `config.yaml` with extensible model presets
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### Added
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- `config.yaml` — single canonical config (stream, models, counting knobs,
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batch, output paths, camera). Secrets/deployment-only values stay in `.env`.
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- `src/config_loader.py` — stdlib-dataclasses + pyyaml loader, zero new
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dependencies. Missing file falls back to `.env` + legacy defaults with a
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`UserWarning`; `MODEL_MODE` env still honoured once with a `DeprecationWarning`.
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- `tests/test_config_loader.py` — 8 smoke tests (load/validate, precedence,
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atomic mode-switch round-trip, YAML-only mode-E extension, legacy warnings).
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- Per-class `iou` and `min_bbox_area` in `models.detection_params`
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(shared across modes; `iou` default `0.7` = Ultralytics default, no behaviour change).
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- `--config` CLI flag on `predict.py` (default: `config.yaml` next to `predict.py`).
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### Changed
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- **Model modes are data**: `config.yaml → models.modes` holds engines
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(path key + contributed classes) and class filters only. `predict.py`
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derives tracker roles structurally — adding mode E/F/... needs no code change,
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and the dashboard `/api/model-modes` lists new modes automatically.
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- Dashboard `POST /api/batch/mode {"model_mode": "X"}` validates against
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`config.yaml` and persists atomically (tmp+replace, comments preserved) to
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`models.active_mode`. Manual `karung-counter` restart still required.
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- `batch_mode.json` keeps only the manual/auto batch `mode`; its legacy
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`model_mode` key is ignored (warned when it disagrees).
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- `zones.json` keeps geometry only (polygons + left/right limits); legacy knob
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keys there are ignored with a warning — `config.yaml counting.*` is canonical.
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- `deploy_to_jetson.py` also syncs `config.yaml`.
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- `src/tracking.py` / `src/detection.py` accept an `iou` parameter
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(default `0.7`, v3 callers unaffected).
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## 2026-09-15 — Default model mode B → C
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- Production default is now **Mode C** (combined v4 sack+truck + yolo11n
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box-only on a dedicated tracker) instead of Mode B (shared sack+box tracker).
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Changed in `predict.py`, `counter_dashboard.py`, `.env.example`, and docs.
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Sack path uses the proven v4 model; sack/box track-ID spaces no longer collide.
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## 2026-09-14 — `models/modelREADME.md` rename
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- `models/README.md` → `models/modelREADME.md` to avoid confusion with the
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root README. No content change.
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## 2026-09-11 — Model weights tracked, per-mode matrix
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- `models/*.pt` + `*.onnx` are now git-tracked (clone-ready); `*.engine`
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stays gitignored (rebuildable via `export_model.py` on the Jetson).
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- All weights moved under `models/` with a per-mode detector/filter matrix
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(`models/modelREADME.md`); `predict.py` paths, `deploy_to_jetson.py`, and
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docs updated.
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- Multi-model modes (A/B/C/D, default B at the time) + box counting +
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manual-mode banner (`6e4af50`).
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## 2026-09-10 — Single `predict.py` entrypoint, experiments archived
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- Production + dev CLI unified in `predict.py` (runs as `karung-counter.service`
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with zero args). Retired experiments moved to `archive/` via `git mv`
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(`predict_new.py`, `rpo_iki/`, `simple_predict.py`, check/merge/test scripts).
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- Docs guides added (`docs/architecture.md`, `models.md`, `configuration.md`,
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`scripts.md`) plus DB/batch helper scripts; pytest smoke tests + CI.
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## 2026-08-24 — Manual & auto batch modes, dual-port dashboards
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- Manual/auto batch counting, operator (port 5000) + monitoring (port 5721)
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dashboards, historical batch data views and corrections.
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