andrew 2d9c66cbb6 feat: unified config.yaml with extensible model presets (A-D data-driven, E/F ready) ...

- config.yaml canonical for stream/models/counting/batch/output/camera
- models.modes hold engines+class filters only; conf/iou/min_bbox in detection_params
- predict.py derives tracker roles structurally (no per-mode branching)
- dashboard mode switch validates + persists atomically to config.yaml
- .env keeps secrets/deployment only; zones.json geometry; tracker.yaml hyperparams
- batch_mode.json keeps manual/auto batch mode; legacy model_mode ignored w/ warning
- src/detection+tracking gain iou param (default 0.7 = no behavior change)

2026-09-17 11:44:45 +07:00

..

architecture.md

refactor: single predict.py entrypoint (production + CLI), archive experiments

2026-09-10 15:56:17 +07:00

configuration.md

feat: unified config.yaml with extensible model presets (A-D data-driven, E/F ready)

2026-09-17 11:44:45 +07:00

deployment.md

docs: rename models/README.md to models/modelREADME.md to avoid confusion with root README

2026-09-14 11:44:18 +07:00

models.md

chore: set model_mode default to C

2026-09-15 14:03:38 +07:00

scripts.md

refactor: single predict.py entrypoint (production + CLI), archive experiments

2026-09-10 15:56:17 +07:00