Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Support]: Inconsistent Detection #2203

Closed
aakashrkumar opened this issue Nov 8, 2021 · 2 comments
Closed

[Support]: Inconsistent Detection #2203

aakashrkumar opened this issue Nov 8, 2021 · 2 comments

Comments

@aakashrkumar
Copy link

Describe the problem you are having

I am trying to automate some lights using Frigate on unraid, but I am having an issue where if I am still for a while(about 60 seconds) frigate stops detecting me. I am using the camera: "Amcrest 4MP ProHD Indoor WiFi Camera"

Version

0.9.4-26AE608

Frigate config file

mqtt:
  host: 192.168.1.3
  port: 1813
  user: user
  password: password
cameras:
  user_room:
    ffmpeg:
      inputs:
        - path: rtsp://user:password@ip/cam/realmonitor?channel=1&subtype=1
          roles:
            - detect
    detect:
      width: 640
      height: 480
      fps: 30
detectors:
  coral:
    type: edgetpu
    device: pci:0
objects:
  # Optional: list of objects to track from labelmap.txt (default: shown below)
  track:
    - person

Relevant log output

N/a

FFprobe output from your camera

Input #0, rtsp, from 'rtsp://user:[email protected]:554/live':
  Metadata:
    title           : Media Server
  Duration: N/A, start: 0.001000, bitrate: N/A
    Stream #0:0: Video: h264, yuv420p(progressive), 2560x1440, 100 tbr, 90k tbn, 180k tbc
    Stream #0:1: Audio: aac, 16000 Hz, mono, fltp

Frigate stats

No response

Operating system

Other

Install method

Docker CLI

Coral version

M.2

Network connection

Wireless

Camera make and model

amcrest, B095XCGKTF

Any other information that may be helpful

No response

@blakeblackshear
Copy link
Owner

This is expected behavior in the current release. Next release will add stationary object tracking back. #841

@blakeblackshear
Copy link
Owner

I should have a beta out in the next week or so.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants