Taisomas Frigate


== Proxmox + HassOS (Home Assistant) + Frigate (Intel NUC6CAYH) ==

Pigiausias ('''low budget''') setupas, nors [[cpu]] apkrovos jaučiasi, bet puikiai veikia su '''4-6''' kameromis. Diegiame tuo pačiu ir [[Home Assistant]], kuris naudojamas išmaniųjų namų automatikoje. [[Frigate]] diegiamas kaip plugin (papildinys) '''Home Assistant'ui'''.

Reikalinga:
* [[Nuc6cayh]] Intel NUC'as
* [[Coral Accelerator]] Coral USB AI akseleratorius, plačiau apie jį [https://coral.ai/products/accelerator/ čia].
* [https://www.proxmox.com/en/ Proxmox] diegimo usb flash diskas.

=== Sudiegiame proxmox ===

{{FIXME}}

Kai sudiegiame proxmox..

* Prisijungiame prie proxmox valdymo panelio https://ip:8006/
* Einame į Datacenter > PVE > Shell
Rašome:
 bash -c "$(wget -qLO - https://github.com/tteck/Proxmox/raw/main/misc/post-pve-install.sh)"
Sekame instrukcijas diegimo metu...

=== Įdiegiame MQTT brokerį kaip LXC konteinerį ===

* Prisijungiame prie proxmox valdymo panelio https://ip:8006/
* Einame į Datacenter > PVE > Shell
Rašome:
 bash -c "$(wget -qLO - https://raw.githubusercontent.com/tteck/Proxmox/main/ct/mqtt.sh)"
Sekame instrukcijas diegimo metu...

Diegimui pasibaigus pasijungiame per '''Proxmox''' konsolę prie '''mqtt lxc''' konteinerio ir pakeičiame failo '''/etc/mosquitto/conf.d/default.conf''' turinį į
 listener 1883
 allow_anonymous true
 listener 9001
 protocol websockets
 socket_domain ipv4

=== Įdiegiame Home Assistant OS į naują virtualią mašiną ===

* Prisijungiame prie proxmox valdymo panelio https://ip:8006/
* Einame į Datacenter > PVE > Shell
Rašome:
 bash -c "$(wget -qLO - https://github.com/tteck/Proxmox/raw/main/vm/haos-vm.sh)"

=== Įdiegiame Home Assistant Frigate pluginą ===

Einame į Home Assistant > Settings > Add-ons > ADD-ON STORE > Spaudžiame viršutiniame dešiniame kampe tris taškus ir pasirenkame '''Repositories''', pridedame repozitorių:
 https://github.com/blakeblackshear/frigate-hass-addons
Atnaujiname repozitorius ir spaudžiame įdiegti '''Frigate''' plugin'ą.

=== Įgaliname Intel iGPU Passthrough ===

'''/etc/default/grub''' pakeisti tik vieną eilutę
<syntaxhighlight lang="bash">
GRUB_CMDLINE_LINUX_DEFAULT="quiet quiet intel_iommu=on i915.enable_gvt=1 iommu=pt pcie_acs_override=downstream,multifunction video=efifb:off video=vesa:off vfio_iommu_type1.allow_unsafe_interrupts=1 kvm.ignore_msrs=1 modprobe.blacklist=radeon,nouveau,nvidia,nvidiafb,nvidia-gpu"
</syntaxhighlight>

Paleidžiame:
 update-grub

Paredaguojame failą '''/etc/modules''' ten įrašydami:
 # Modules required for PCI passthrough
 vfio
 vfio_iommu_type1
 vfio_pci
 vfio_virqfd
 # Modules required for Intel GVT-g Split
 kvmgt

Paredaguojame failą '''/etc/modprobe.d/my-blacklist.conf''' ten įrašydami:
 blacklist btintel
 blacklist btusb
 blacklist btrtl
 blacklist btmtk
 blacklist btbcm
 # for gpu passtrough
 blacklist i915
 blacklist snd_hda_intel
 blacklist snd_hda_codec_hdmi
 blacklist snd_sof_pci_intel_apl
 blacklist snd_soc_skl
 blacklist snd_soc_avs

Paleidžiame:
 update-initramfs -u -k all
 reboot

Sistemai naujai užsikrovus tikriname pasitelkę '''dmesg''' komandą ir ieškome eilutės:
 dmesg | grep -e DMAR -e IOMMU
 [0.067203] DMAR: IOMMU enabled

=== GPU Passthrough įgalinimas Home Assistant OS virtualioje mašinoje ===

[[Vaizdas:19bbed86-bc34-11ec-bdef-d76764bad4d0.jpg]]

[[Vaizdas:2cf3d69c-bd89-11ec-af8c-67974c4ba3f0.jpg]]

[[Vaizdas:3802e9b8-bd8b-11ec-a4ba-8305e0d2d682.jpg]]

[[Vaizdas:C605680c-bd8c-11ec-81f9-4755a5d3fa24.jpg]]

Nustatymai turi atrodyti maždaug taip

[[Vaizdas:375ed1c8-bd8d-11ec-94c6-cf0bac60954a.jpg]]

Po reboot žiūrime ar pavyko:
 ls -lsah /dev/dri
Turime matyti:

[[Vaizdas:7660a1d4-bd8e-11ec-a58e-3f9f3e6c485d.jpg]]

[https://3os.org/infrastructure/proxmox/gpu-passthrough/igpu-split-passthrough/#proxmox-configuration-for-gvt-g-split-passthrough Daugiau informacijos]


=== Frigate konfigūracija ===

Kad patogiau būtų redaguoti konfigūracijos failą, įdiegiame Home Assistant pluginą '''File Editor''' per Settings > Add-ons > ADD-ON STORE įdiegus pluginą pasidarome '''Show in sidebar'''. Paspaudę ant šio sidebar meniu punkto nunaviguojame ir sukuriame failą '''frigate.yml''' direktorijoje '''homeassistant/'''

'''Failo turinys:'''
<syntaxhighlight lang="yaml">
environment_vars:
  LIBVA_DRIVER_NAME: i965    
ffmpeg:
  hwaccel_args: preset-vaapi  
  output_args:
    record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac
  input_args:
    - '-avoid_negative_ts'
    - make_zero
    - '-fflags'
    - nobuffer
    - '-flags'
    - low_delay
    - '-strict'
    - experimental
    - '-fflags'
    - +genpts+discardcorrupt
    - '-use_wallclock_as_timestamps'
    - '1'     

detectors:
  coral:
    type: edgetpu
    device: usb

mqtt:
  enabled: True
  host: 192.168.1.1
  topic_prefix: frigate
  client_id: frigate
  user: mqtt
  password: mqtt
  stats_interval: 60
rtmp:
  enabled: false

birdseye:
  enabled: false

detect:
  enabled: True
  max_disappeared: 50
  width: 640
  height: 360
  fps: 5

record:
  enabled: True
  retain:
    days: 14
    mode: motion
  events:
    pre_capture: 10
    post_capture: 5
    objects:
       - person
       - car
       - bicycle
       - motorcycle
       - bus
       - dog
       - truck
    required_zones: []
    retain:
      default: 48
      mode: motion
snapshots:
  enabled: True
  timestamp: True
  bounding_box: True
  crop: False
  height: 1000
  retain:
    default: 250

objects:
  track:
    - person
    - car
    - cat
    - dog
    - bicycle
    - truck
    - motorcycle
    - bus
    - horse
    - sheep
    - cow
    - bear
    - umbrella
    - handbag
    - suitcase
    - bottle
    - apple
    - cell phone

  filters:
    person:
      min_score: 0.5
      threshold: 0.7
    car:
      threshold: 0.70
    truck:
      threshold: 0.70
cameras:
  Cam1:
    ffmpeg:
       inputs:
         - path: rtsp://admin:admin@192.168.1.11/0/av1 # h264 MPEG-4 AVC (h264) 640x352
           roles:
             - detect
         - path: rtsp://admin:admin@192.168.1.11/0/av0 # h264 MPEG-4 AVC (h264 1920x1080
           roles:
             - record
    detect:
      width: 640
      height: 352
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
        - truck
    mqtt:
      height: 1080
      crop: False
    timestamp_style:
      position: "bl"
      format: "%H:%M:%S"
      color:
        red: 255
        green: 255
        blue: 255
      thickness: 5
      effect: "shadow"      
</syntaxhighlight>

Konfigūracija yra optimizuota ir gali veikti tiktai nurodytame įrenginyje, taip pat šioje konfigūracijoje yra įgalintas vaizdo įrašymas su garsu ir taip pat šioks toks ilgesnis užlaikymas, vaizdo kamerų neatsako metu (tinka prastos kokybės kiniškoms kameroms).

=== Jeigu coral neatpažystamas sistemos ===

Jeigu '''lsusb''' komanda rodo:
 1a6e:089a Global Unichip Corp.
Reikia įgalinti įrenginio atpažinimą [[udev]] taisyklėmis arba pasinaudoti '''df-util'''
 apt install df-util
 wget https://github.com/google-coral/libedgetpu/raw/efb73cc94dac29dc590a243109d4654c223e008c/driver/usb/apex_latest_single_ep.bin
 dfu-util -D apex_latest_single_ep.bin -d 1a6e:089a -R
Kad kiekvieną sistemos startavimo kartą suveiktų šis pakeitimas reiktų jį įrašyti į '''/etc/rc.local''' failą
<syntaxhighlight lang="bash">
#!/bin/sh
dfu-util -D apex_latest_single_ep.bin -d 1a6e:089a -R
exit 0
</syntaxhighlight>
Taip pat suteikiame šiam scriptui paleidimo teises
 chmod +x /etc/rc.local
Dabar sistemos perkrovimo metu įrenginys bus atpažystamas teisingai.

[https://williamlam.com/2023/05/google-coral-usb-edge-tpu-accelerator-on-esxi.html Daugiau info]

=== Kiti patarimai ===

Kamerų rezoliuciją padavus rtsp url patogiai galima pamatyti su '''ffprobe''' (randasi ffmpeg programų pakete)..

== Ubuntu 22.04.4 LTS + Frigate Docker (ThinkCentre M920q) ==

'''Reikalinga:'''
* ThinkCentre M920q
* [[Coral Accelerator]] Coral USB AI akseleratorius, plačiau apie jį [https://coral.ai/products/accelerator/ čia].

=== docker-compose.yml ===

<syntaxhighlight lang="yaml">
version: "3.9"
services:
  frigate:
    container_name: frigate
    image: ghcr.io/blakeblackshear/frigate:stable
    restart: always
    privileged: true
    shm_size: "256mb"
    ports:
      - "1935:1935"
      - "5000:5000"
    devices:
      - /dev/bus/usb:/dev/bus/usb
      - /dev/dri:/dev/dri
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /srv/dockers/frigate/conf/config.yml:/config/config.yml:ro
      - /srv/dockers/frigate/data:/media/frigate
      - /srv/dockers/frigate/db:/db
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
#    ports:
#      - '5000:5000'
    environment:
      - FRIGATE_RTSP_PASSWORD=123456
    networks:
      - traefik
    restart: unless-stopped
    labels:
      - traefik.enable=true
      - traefik.docker.network=traefik
      - "traefik.http.routers.frigate.rule=Host(`frigate.domenas.lt`)"
      - "traefik.http.services.frigate.loadbalancer.server.port=5000"
    # resources limit
    mem_limit: 6G
    cpus: 3.0
    cap_add:
      - CAP_PERFMON
networks:
  traefik:
    external: true
</syntaxhighlight>

=== frigate.yml ===
<syntaxhighlight lang="yaml">
detectors:
#  cpu1:
#    type: cpu
#  cpu2:
#    type: cpu
  coral:
    type: edgetpu
    device: usb
    num_threads: 3
database:
  path: /db/frigate.db
ffmpeg:
  hwaccel_args: preset-vaapi
  output_args:
    record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac
logger:
  # Optional: default log level (default: shown below)
  default: info
  # Optional: module by module log level configuration
  logs:
    frigate.mqtt: warning
    frigate.ffmpeg: debug
mqtt:
  host: 192.168.1.1
  topic_prefix: frigate
  client_id: frigate
  stats_interval: 60
rtmp:
  enabled: false

birdseye:
  enabled: false

detect:
  enabled: True
  max_disappeared: 50
  width: 640
  height: 360
  fps: 5

record:
  enabled: True
  retain:
    days: 14
    mode: motion
  events:
    pre_capture: 10
    post_capture: 5
    objects:
       - person
       - car
       - bicycle
       - motorcycle
       - bus
       - dog
       - truck
    required_zones: []
    retain:
      default: 3650
      mode: active_objects

snapshots:
  enabled: True
  timestamp: True
  bounding_box: True
  crop: False
  height: 1000
  retain:
    default: 3650

objects:
  track:
    - person
    - car
    - cat
    - dog
    - bicycle
    - truck
    - motorcycle
    - bus
    - horse
    - sheep
    - cow
    - bear
    - umbrella
    - handbag
    - suitcase
    - bottle
    - apple
    - cell phone

  filters:
    person:
      min_score: 0.5
      threshold: 0.7
    car:
      threshold: 0.70
    truck:
      threshold: 0.70

cameras:
  Cam1:
    ffmpeg:
       hwaccel_args: preset-intel-qsv-h264
       input_args: -avoid_negative_ts auto -fflags nobuffer+genpts+discardcorrupt -flags low_delay -rtsp_transport tcp -use_wallclock_as_timestamps 1 -timeout 2000000
       inputs:
         - path: rtsp://admin:admin@192.168.1.10/0/av1 # h264 MPEG-4 AVC (h264) 640x352
           roles:
             - detect
         - path: rtsp://admin:admin@192.168.1.10/0/av0 # h264 MPEG-4 AVC (h264 1920x1080
           roles:
             - record
    detect:
      width: 640
      height: 352
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
        - truck
    mqtt:
      height: 1080
      crop: False
    timestamp_style:
      position: "bl"
      format: "%H:%M:%S"
      color:
        red: 255
        green: 255
        blue: 255
      thickness: 5
      effect: "shadow"
</syntaxhighlight>


[[Category:Tinklas]]
[[Category:CCTV]]
[[Category:Saugumas]]