I’ve now managed to get the stream of my HiWatch Series, model HWI- T641H-Z 2.8-12 mm by accessing via browser to rtsp://USERNAME:PASSWORD@192.168.30.50:554/Streaming/Channels/101. Working nice. But on its own, very unusful unless I get storage and image detection going. So, I need something like Frigate.

I believe the Frigate docs suggest running in a docker container installed on a VM. Very convienient as I have Proxmox (installed on a optiples 7070 micropc with 32MB ram) running a VM on which i have a few containers. The idea is to mount a “frigate” dataset created on my Truenas server on Proxmox which is then mounted to the VM. Lots of layers but hoping it should be ok.

I heard that the Google Coral TPU is not sold anymore. Is this going to be a problem for Frigate image recognition? Are there alternatives to the Coral TPU?

  • trilobite@lemmy.mlOP
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    20 hours ago

    But if has all these issues, why is it so popular, and more importantly, hoe come the developers are not improving the image? Is it because its too complex?

    • lemmyvore@feddit.nl
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      18 hours ago

      It’s popular because it works. You don’t get a lot of choice in the NVR area, most of the other projects are kind of ass too. I’ve been trying lots of them and so far Frigate and Shinobi are the only ones that you can get to show your camera streams, and detecting & recording actually works.

      I also don’t think many people care about the security that much. Either that or they run the container like I do in a completely isolated VLAN with the cameras. Honestly, if it wasn’t for the obscene amounts of RAM, CPU and storage it wastes for no good reason I wouldn’t care that much about the security either.

      hoe come the developers are not improving the image?

      Lots of developers are clueless about Docker. They are used to running their stuff on the metal and piling everything together and they don’t even consider they should clean things up before they ship a docker image.

      Gramps Web for example is another humongous image, and it’s humongous because apparently the developer can’t be arsed to separate the building stage from the production stage in their Dockerfile, so they’re shipping all the build toolchains. People have pointed this out to them and they’re like “eh whatever”.