Files
vf-cuda-grid/controller
gx a1090a5f4c controller: Phase 4a — overlay infrastructure (data models + API + Frigate bridge skeleton)
Phase 4a deliverable (no filter rendering yet — это Phase 4b).
End-to-end pipeline: HA/HTTP/MQTT → controller → ZMQ → FFmpeg (logged).

Modules:
- overlays.py — 7 discriminated union types через pydantic:
  rect, text, icon, image, dim, graph, chat. Normalized coords (0.0-1.0),
  optional cell binding, z_order, opacity, visible.
- state.py — overlay storage per instance (CRUD: add/remove/update/get/clear)
- dispatch.py — overlay.add/remove/clear actions:
  - parses JSON payload в Overlay через TypeAdapter
  - serializes to ZMQ string: "<id> <type> <full-json>"
  - sends via FFmpeg process_command (filter will парсить в Phase 4b)
  - updates state + publishes events (overlay_added, overlay_removed, overlays_cleared)
- http_api.py — REST endpoints:
  - POST /overlay/{inst}/add (body = Overlay JSON, returns id)
  - GET /overlay/{inst} — list all
  - DELETE /overlay/{inst}/{id} — single
  - DELETE /overlay/{inst} — clear all
  - PATCH /overlay/{inst}/{id} — update
- mqtt_loop.py — already subscribes cuda_grid/cmd/<inst>/+/+; teper handles
  overlay/add (JSON payload), overlay/remove (id), overlay/clear
- frigate_bridge.py — FrigateBridge skeleton:
  - subscribe frigate/+/motion + frigate/events
  - mapping camera_name → target_instance + cell index
  - Phase 4a: log received events (rendering в Phase 4b)
- config.py — frigate: optional section
- examples/controller.yaml — frigate mappings для 4 наших камер

State management:
- ControllerState.add/remove/update/get/clear_overlay (asyncio.Lock guarded)
- InstanceState.overlays: dict[str, Overlay]
- IDs generated via uuid4()[:8]

Phase 4a limitations:
- Filter side ничего не рендерит (just logs ZMQ commands)
- Frigate bridge принимает events но не auto-generates overlays
- HA Discovery не имеет overlay-specific entities (overlays через REST API)

Phase 4b: filter-side AVFrame side data + CUDA kernels (rect first, NPP-based,
потом text via freetype atlas, потом icon sprite blit).
2026-05-19 22:03:20 +01:00
..

cuda-grid-controller

Control-plane sidecar для vf_cuda_grid FFmpeg filter. Transforms MQTT / HTTP REST commands от Home Assistant / Node-RED / custom apps в FFmpeg process_command через ZeroMQ. Publishes state + events наружу для bidirectional integration.

Статус: Phase 3 work-in-progress — basic skeleton + HA Discovery + ZMQ command bridge. Phase 4+ добавит overlays, audio orchestration.

Что умеет (Phase 3)

  • MQTT subscribe cuda_grid/cmd/<instance>/layout/set → ZMQ send → FFmpeg layout switch
  • MQTT publish cuda_grid/state/<instance>/layout (retained) + cuda_grid/event/.../layout_switched
  • HA MQTT Discovery — select.layout + sensor.current_layout + binary_sensor.online per instance
  • HTTP REST API: /health, /layouts, /state, POST /layout/{instance}/set
  • Multi-instance (несколько FFmpeg pipelines с разными ZMQ endpoints)
  • Auto-reconnect MQTT, LWT для availability tracking

Использование

pip install -e .

export MQTT_USERNAME=mqtt
export MQTT_PASSWORD=secret
cuda-grid-controller --config examples/controller.yaml

FFmpeg side — как подключить cuda_grid + zmq filter

ffmpeg -i cam1.mp4 -i cam2.mp4 -i cam3.mp4 -i cam4.mp4 \
  -filter_complex "
    [0:v][1:v][2:v][3:v]cuda_grid=layout=quad,
    zmq=bind_address=tcp\\\\://127.0.0.1\\\\:5555
  " \
  -c:v h264_nvenc out.mp4

(После этого controller с zmq_endpoint: tcp://127.0.0.1:5555 сможет переключать layout командой cuda_grid@... layout six_grid.)

HA dashboard

После startup controller'а — в Home Assistant появятся entities:

  • select.cuda_grid_<instance>_layout — dropdown с layouts
  • sensor.cuda_grid_<instance>_current_layout — текущий выбранный
  • binary_sensor.cuda_grid_controller_online — online/offline

Roadmap

Phase Что
3 (this) Basic skeleton + HA Discovery + ZMQ bridge для layout switching
4 Overlay API (rect/text/icon через side data)
5 Rich overlays (image/dim/graph/chat) + privacy filtering
6 Audio orchestration (state machine, domofon use case)

Полный design: docs/design.md.