Reolink RLC-810A IPC_523128M8MP v3.1.0.1162_22072805

[mrplow]

Reolink support sent me this updated firmware for my RLC-810A after complaining there were artifacts in the RTSP stream.

https://support.reolink.com/attachments/token/bKSdFp6o2FVWqOb0PvEejh7l2/?name=IPC_523128M8MP.1162_22072805.RLC-810A.IMX415.8MP.REOLINK.pak

md5sum: ad04f9c305e8b6539e37c545983280fb

I'm not sure if that link expires, so I uploaded it here
https://drive.google.com/file/d/1gi3QD_IVE_C9_HJ6MSZ9krKw83BS-hJZ/

[AT0myks]

Thanks, it's been added. I assume it fixed your issue?

I have yet to see a dead link from Reolink, so for now I only added the "official" one.

[mrplow]

I think it fixed the issue. I haven't seen any video artifacts, but it's only been a few days.

[ggasperino]

@mrplow could you share your complete Frigate yaml config for your 810A or any links to other pertinent info. I'm a Frigate newb and have spent hours trying to get it right.

[mrplow]

@ggasperino
You might have better luck in the frigate github discussion section, but here are my configs - I trimmed out my other cameras. Note that I'm using my nvidia card for detection and hw transcoding.

mosquitto docker-compose.yml

version: '3'
services:

  mosquitto:
    container_name: mqtt
    image: eclipse-mosquitto:1.6
    volumes:
      - ./mosquitto/config:/mosquitto/config
      - ./mosquitto/data:/mosquitto/data
      - ./mosquitto/log:/mosquitto/log
    network_mode: host
    restart: unless-stopped
    environment:
      - TZ=America/Vancouver

frigate docker-compose.yml

version: "3.9"
services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: ghcr.io/blakeblackshear/frigate:0.12.0-tensorrt
    network_mode: host
#   (detect width * height * 1.5 * 9 + 270480)/1048576 = <shm size in mb>
    shm_size: "80mb" # update for your cameras based on calculation above
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /media/RAID/frigate:/media/frigate
      - /media/RAID/frigate/trt-models:/trt-models
      - ./config:/config
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]

frigate config.conf

mqtt:
  host: 192.168.1.10
  user: <redacted>
  password: <redacted>

ffmpeg:
  output_args:
    record: preset-record-generic-audio-copy

snapshots:
  enabled: True
  clean_copy: True
  timestamp: True
  bounding_box: True

go2rtc:
  streams:
    frontdoor: #Reolink RLC-810A - IPC_523128M8MP - v3.1.0.956_22041503
      - rtsp://<redacted>:<redacted>@192.168.1.150:554/h264Preview_01_main
      - ffmpeg:frontdoor#audio=opus

cameras:
  frontdoor:
    timestamp_style:
      position: "tl"
    ffmpeg:
      hwaccel_args: preset-nvidia-h264
      inputs:
        - path: rtsp://127.0.0.1:8554/frontdoor?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    detect:
      width: 1280
      height: 720
      fps: 15
    objects:
      filters:
        car:
          mask:
            - 700,202,1097,720,1280,720,1280,0,700,0
        bird:
          mask:
            - 934,0,960,0,974,65,900,65
        person:
          min_area: 2000
          mask:
            - 934,0,960,0,974,65,900,65
            - 1280,316,1280,622,1158,504
        cat:
          mask:
            - 1280,316,1280,622,1158,504
    motion:
      mask:
        - 934,0,960,0,974,65,900,65
        - 1280,316,1280,622,1158,504

detectors:
  tensorrt:
    type: tensorrt
    device: 0

model:
  path: /trt-models/yolov7x-320.trt
  labelmap_path: /trt-models/coco_91cl.txt
  input_tensor: nchw
  input_pixel_format: rgb
  width: 320
  height: 320
  model_type: yolox

record:
  enabled: True
  retain:
    days: 7
    mode: all
  events:
    retain:
      default: 14
      mode: active_objects
      objects:
        dog: 7
        cat: 7
        car: 7

objects:
  track:
    - bear
    - bird
    - car
    - cat
    - dog
    - person

birdseye:
  enabled: True
  mode: continuous

timestamp_style:
  format: "%Y-%m-%d %H:%M:%S"
  effect: shadow

[ggasperino]

Thanks so much! This has so much code I need.

I have been digging through all the threads over there, but it's difficult to find exactly what I need.

I'm going to ask and I totally understand if you can't help but, do you know what I would have to change to use my PCI Coral TPU. Its running on a Proxmox host (i7 8700K iGPU) with passthrough to an Ubuntu VM running Frigate in Docker. That is all working and drivers load and lspci shows Coral correctly in the VM and I have the mapping in the Docker config. It seems like I'm missing something in the detectors syntax.

Here is what I'm using:

detectors:   coral:     type: edgetpu     device: pci:0

[mrplow]

@ggasperino sorry but I'm not sure. I'm not using a coral or a virtualized Linux system