- Add engine_utils for TensorRT compatibility verification, auto-recompilation from .pt models, and YAML auto-updates
- Add mortality detection pipeline (mortality.py, test_run_mortality.sh, mortality_config.yaml)
- Add multi-execution batch modes (parallel_processes, tensor_batching, hybrid) in batch_runner.py
- Add daily test run automation scripts and video processing runners
- Add dashboard REST API, live stream endpoints, and web UI templates
- Clean up git tracking by ignoring __pycache__, .pyc, and build artifacts
- Switch Flask dev server -> waitress (8 threads, production WSGI)
- Only refresh frame.jpg when frame_index changes, not every second
- Safety try/except on send_file for edge-case file conflicts
- Fix test_run.sh: export PYTHONPATH, use venv python
- Update service file to use venv python
- api/db/summary — overall totals
- api/db/history — per-date rows
- api/db/date/<date> — single date detail with per-camera breakdown
- api/db/camera/<id> — all runs for a specific camera
- api/db/location/<name> — per-location summary + history
- API.md — full endpoint documentation with schema
- batch_runner: _store_to_db after each camera (not just at end)
- dashboard: Flask app with templates/index.html
- Single-camera full-screen live stream with auto-switch
- DB history panel in sidebar
- store_results.py: standalone script for existing reports
- Auto-detect active camera by polling frame_index
- Show All Cameras Total accumulation in sidebar
- Show per-camera totals in camera list
- Add run_date to stats.json and display in dashboard
- Pipeline: thread run_date through build/run/batch
proitlab