frigate实现人在传感器

dwack

frigate的搭是在一台8265u的笔记本上,摄像头是乐橙的
先在/opt/docker/frigate/config创建config文件

mqtt:
  enabled: True
  host: 10.0.0.10
  port: 1883
  user: frigate
  password: yourpassword
  
detectors:
  ov:
    type: openvino
    device: AUTO
    model:
      path: /openvino-model/ssdlite_mobilenet_v2.xml

model:
  width: 300
  height: 300
  input_tensor: nhwc
  input_pixel_format: bgr
  labelmap_path: /openvino-model/coco_91cl_bkgr.txt  
 
cameras:
  your_camera:
    enabled: true
    ffmpeg:
      hwaccel_args: preset-vaapi
      inputs:
        - path: rtsp://admin:[email protected]:554/cam/realmonitor?channel=1&subtype=0
          roles:
            - detect

detect: #偵測設定
      enabled: true
      fps: 25 
      width: 1920
      height: 1080
      stationary:
        interval: 30 #靜態偵測持續偵測影格
        threshold: 150 #靜態偵測影格

snapshots: #快照
      enabled: true
      retain: 
        default: 10

objects:
  track:
  - person
  - cat
  #- cell phone
  #- car
  #mask: 0,0,1000,0,1000,200,0,200
  # Optional: filters to reduce false positives for specific object types
  filters:
    person:
      # Optional: minimum width*height of the bounding box for the detected object (default: 0)
      #min_area: 5000
      # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
      #max_area: 100000
      # Optional: minimum width/height of the bounding box for the detected object (default: 0)
      #min_ratio: 0.5
      # Optional: maximum width/height of the bounding box for the detected object (default: 24000000)
      #max_ratio: 2.0
      # Optional: minimum score for the object to initiate tracking (default: shown below)
      min_score: 0.5
      # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
      #threshold: 0.7
      # Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
      # Checks based on the bottom center of the bounding box of the object     

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docker启动frigate

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:stable
    shm_size: "256mb" # update for your cameras based on calculation above
    devices:
      - /dev/apex_0:/dev/apex_0    # Passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
      - /dev/dri/renderD128:/dev/dri/renderD128 # For intel hwaccel, needs to be updated for your hardware
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /opt/docker/frigate/config:/config
      - /opt/docker/frigate/storage:/media/frigate
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    network_mode: "host"
    environment:
      FRIGATE_RTSP_PASSWORD: "password"
      LIBVA_DRIVER_NAME: "i965

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带动单台摄像头还是可以的

jimgo

这个做人在传感器还是有局限，检测不到微动。

隔壁的王叔叔

jimgo 发表于 2024-7-22 16:10
这个做人在传感器还是有局限，检测不到微动。

这货不是用图像检测么？跟微动有关系？

jimgo

隔壁的王叔叔 发表于 2024-7-22 22:14
这货不是用图像检测么？跟微动有关系？

用它当人在传感器，人坐着不动就检测为无人了。我是说用它当人在传感器的局限性。没别的意思。

隔壁的王叔叔

jimgo 发表于 2024-7-23 12:19
用它当人在传感器，人坐着不动就检测为无人了。我是说用它当人在传感器的局限性。没别的意思。 ...

哦，这样啊，我还以为人一直在视频范围呢，就显示有人呢，我也没别的意思。

yangrusen

可以侦测静态的，你看那个config里面就有