gx
12708618d4
- docs/integrations/frigate.md — полный production-tested guide: Dockerfile, docker-compose, config.yml, troubleshooting (s6+pid, scale_cuda, hwaccel issues), build steps - docs/integrations/cctv-cpp.md — C++ pattern: IFrameSource interface + CuframesSource skeleton + CMake setup + runtime requirements - examples/frigate-compose/ — reference compose stack (cuframes-pub + Frigate) с config.yml stub, .env.example, README - examples/python-consumer/ — ctypes-based skeleton для AI/ML pipeline'ов (до v0.3 native pybind11 bindings) - docs/integration.md — превратился в index-страницу, ссылается на specific guides Reorganization упрощает onboarding: пользователь выбирает guide по типу integration'а (Frigate/C++/Python/FFmpeg) и сразу видит реальный code. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
74 lines
2.6 KiB
YAML
74 lines
2.6 KiB
YAML
# Reference docker-compose для Frigate + cuframes integration.
|
||
# Полный guide: docs/integrations/frigate.md
|
||
#
|
||
# Что нужно подготовить заранее:
|
||
# 1. Build local image local/frigate-cuframes:latest по Dockerfile.frigate
|
||
# (см. docs/integrations/frigate.md, Шаг 1)
|
||
# 2. Pull cuframes runtime image:
|
||
# docker pull git.goldix.org/gx/cuframes:0.1 # либо собрать local
|
||
# 3. Скопировать config/config.yml (placeholder в config/ рядом)
|
||
# 4. .env с CAM_PARKING_PASS=... и FRIGATE_RTSP_PASSWORD=...
|
||
#
|
||
# Запуск:
|
||
# docker compose up -d
|
||
# # UI: http://host:5000 (internal, без auth) либо https://host:8971 (with auth)
|
||
|
||
services:
|
||
# 1× publisher на камеру — single source of RTSP + NVDEC
|
||
cuframes-pub-parking:
|
||
image: git.goldix.org/gx/cuframes:0.1
|
||
container_name: cuframes-pub-parking
|
||
restart: unless-stopped
|
||
runtime: nvidia
|
||
ipc: shareable
|
||
shm_size: 256m
|
||
environment:
|
||
NVIDIA_VISIBLE_DEVICES: all
|
||
NVIDIA_DRIVER_CAPABILITIES: compute,video,utility
|
||
volumes:
|
||
- cuframes_sock:/run/cuframes
|
||
command:
|
||
- /usr/local/bin/cuframes-rtsp-source
|
||
- --rtsp
|
||
# Используем sub-stream для detect-path (lighter resolution, тот же camera load)
|
||
- "rtsp://admin:${CAM_PARKING_PASS}@parking-cam-ip:554/cam/realmonitor?channel=1&subtype=1"
|
||
- --key
|
||
- cam-parking
|
||
- --ring
|
||
- "6"
|
||
- --verbose
|
||
|
||
frigate:
|
||
image: local/frigate-cuframes:latest # см. docs/integrations/frigate.md Шаг 1
|
||
container_name: frigate
|
||
restart: unless-stopped
|
||
depends_on:
|
||
cuframes-pub-parking:
|
||
condition: service_started
|
||
runtime: nvidia
|
||
privileged: true
|
||
shm_size: 512m
|
||
# WARN: только ipc share — pid НЕ shared (Frigate's s6-overlay требует PID 1).
|
||
# Frigate подсоединяется к first CUDA context publisher'а в shared /dev/shm.
|
||
ipc: "container:cuframes-pub-parking"
|
||
environment:
|
||
FRIGATE_RTSP_PASSWORD: "${FRIGATE_RTSP_PASSWORD}"
|
||
NVIDIA_VISIBLE_DEVICES: all
|
||
NVIDIA_DRIVER_CAPABILITIES: compute,video,utility
|
||
ports:
|
||
- "5000:5000" # UI без auth (internal, не expose external!)
|
||
- "8971:8971" # UI с HTTPS + auth
|
||
- "8554:8554" # RTSP restream (go2rtc)
|
||
- "8555:8555/tcp"
|
||
- "8555:8555/udp"
|
||
volumes:
|
||
- cuframes_sock:/run/cuframes:ro
|
||
- ./config/config.yml:/config/config.yml:ro
|
||
- ./media:/media/frigate
|
||
- type: tmpfs
|
||
target: /tmp/cache
|
||
tmpfs: { size: 1000000000 }
|
||
|
||
volumes:
|
||
cuframes_sock:
|