MotionEYE OS

  • Hi,


    I heard on a Youtube video that on RTSP caeras will work on MotionEye OS docker, is this correct? as i have 2 usb cameras,


    Thanks,

    Normally if its in red it's bad!!!


    Machine 1 - Dell OptiPlex 790 - Core i5-2400 3.10GHz - 16GB RAM - OMV5

    Machine 2 - Raspberry PI4 - ARMv7 - 2GB - OMV5

  • This has nothing to do with OMV or Docker itself but...


    MotionEye OS supports IP cameras and has "Support for most USB cameras" >> https://github.com/ccrisan/motioneyeos/wiki/Features


    So a docker container is set up fast. Why don´t you just try it? :)

    I was looking at instruction on installing Motioneye OS in docker/portainer but i found 2 conflicting videos one saying it wont work with USB cameras and one saying it would. This is why i asked in the forum as you guys would know for definate.


    I will try and install Motion eye in docker and see if it works

    Normally if its in red it's bad!!!


    Machine 1 - Dell OptiPlex 790 - Core i5-2400 3.10GHz - 16GB RAM - OMV5

    Machine 2 - Raspberry PI4 - ARMv7 - 2GB - OMV5

  • USB cameras definitely work as they say that on the official features list :)

    New issue both guides i found to install Motion eye on Docker/OMV5 are no good, they only get me 50% of the way. :(

    Normally if its in red it's bad!!!


    Machine 1 - Dell OptiPlex 790 - Core i5-2400 3.10GHz - 16GB RAM - OMV5

    Machine 2 - Raspberry PI4 - ARMv7 - 2GB - OMV5

  • New issue both guides i found to install Motion eye on Docker/OMV5 are no good, they only get me 50% of the way. :(

    Care to share what you find lacking?

    --
    Google is your friend and Bob's your uncle!


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  • Care to share what you find lacking?

    Instructions that actully work?


    I used these instructions

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    from DB Tech but get as far as starting the stack and i get this error no suitable node (unsupported platform on 1 node)

    Normally if its in red it's bad!!!


    Machine 1 - Dell OptiPlex 790 - Core i5-2400 3.10GHz - 16GB RAM - OMV5

    Machine 2 - Raspberry PI4 - ARMv7 - 2GB - OMV5

  • Very few if any of those here who could help you are going to watch a video that shows what the author of the video did, not what you actually did.

    --
    Google is your friend and Bob's your uncle!


    OMV AMD64 7.x on headless Chenbro NR12000 1U 1x 8m Quad Core E3-1220 3.1GHz 32GB ECC RAM.

  • Very few if any of those here who could help you are going to watch a video that shows what the author of the video did, not what you actually did.

    I follewed what the auther of the video did step by step. Unless you have a suggestion on a guide i could use that might actully work?

    Normally if its in red it's bad!!!


    Machine 1 - Dell OptiPlex 790 - Core i5-2400 3.10GHz - 16GB RAM - OMV5

    Machine 2 - Raspberry PI4 - ARMv7 - 2GB - OMV5

    • Official Post

    Unless you have a suggestion on a guide i could use that might actully work?

    It is docker. You don't have to find a guide specific to OMV. I would use the instructions from the motioneye author - https://github.com/ccrisan/motioneye/wiki/Install-In-Docker.

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  • Very few if any of those here who could help you are going to watch a video that shows what the author of the video did, not what you actually did.

    To make it easier here is what the guide the auther wrote


    "Open Portainer and create a new Stack and then paste the following in:

    Code
    ---
    version: "2"
    services:  motioneye:    image: ccrisan/motioneye:master-amd64    container_name: motioneye    volumes:      - /etc/localtime:/etc/localtime:ro #Timezone Config / Do Not Change      - /etc/motioneye:/etc/motioneye #Config Storage      - /var/lib/motioneye:/var/lib/motioneye  #File Storage    ports:      - 8765:8765    restart: always

    You’ll notice some notes in the “volumes” section that explains what each volume does. You don’t need to change the localtime line, but you’ll want to map the Config and File Storage volumes to your system’s correct locations.

    This is available for desktop and ARM processors. If you want to install this on an ARM processor device, be sure to change the image to:

    Code
    ccrisan/motioneye:master-armhf

    Once you’ve got that, you can click the “Deploy the Container” button and wait for the container to deploy."


    After it has deployed, you can go to http://your-server-address:8765 to login."


    This is as far as i got when i go to the address i get "This page cannot be displayed" when i go and check on the stack it comes up with "no suitable node (unsupported platform on 1 node)"

    Normally if its in red it's bad!!!


    Machine 1 - Dell OptiPlex 790 - Core i5-2400 3.10GHz - 16GB RAM - OMV5

    Machine 2 - Raspberry PI4 - ARMv7 - 2GB - OMV5

  • STUKguy

    Added the Label resolved

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