BrandonG777

Well, looks like there is some sort of overall Tailscale issue with my unRAID server. Even the built in containers are experiencing the lag. I suppose playing with my Tailscale options/routes is first order of business but will need to wait until I get home tomorrow before I do all that.

all client machines have Tailscale. I understand how Tailscale works and use it everyday without issue. TSDProxy or how I have it configured is adding so much latency, the containers are unusable but they do connect.. if I give them 10 minutes to load up. If I connect a container via unRAID Tailscale option, lag is minimal. Has to be some sort of routing/DNS issue I'm thinking but I'm struggling to identify the cause.

My connections are crazy slow. Not sure what is happening but I use tailscale all the time without issue except in this case. Haven't been able to determine a cause but I can connect via unRAID tailscale option and I don't see the insane amount of lag I'm seeing with TSDProxy.

same. also found all of the tools still worked... but if they're aren't being updated, that will be a problem sooner or later. seems like a simple script could keep this stuff up to date and maybe even streamline the install process. I'd do it if I didn't already have too many irons in the fire and having to prioritize.

@shinji257 vim please? 🙏 EDIT: nm, located via https://pkgs.org/ Seems to work fine.

Yeah, sorry I know better. smh

Pardon my ignorance but prior to removing the plugin I had more to up to date packages than what is provided in the Slackware respositories (https://slackware.pkgs.org/15.0/slackware-x86_64/)... After a bit of searching I found your github repository but I haven't had much luck with those packages as installpkg <pkg> results in "gzip: stdin: not in gzip format" But the bigger issue I see here that without something like Nerdtools to maintain the current versions, we are putting ourselves at risk with potentially unmaintained versions of these packages. Again there is much about that process I don't fully understand so maybe I'm missing something but without us manually checking for new versions on a regular basis we are opening the door to unpatched vulnerabilities. On this note, couldn't we implement some sort of script we could throw a list of packages at and do the same magic Nerdtools was doing, just minus a pretty GUI. With all that being said, thank you for work on this. I'm sure what you're doing is helping push this forward, despite my lack of understanding.

Best solution I've found is the limit the memory of the container, --memory=4G, under extra parameters. Not perfect but best I can come up with. Obviously, your memory usage will vary with number of cameras/resolution/etc.

Other than the occasional push notification that fails to send the attached image, it works much better than RTMP streams.

Did you setup a substream (720p 5fps or lower resolution) I see around 20% constant usage on my i5-12500 but I have 8 cameras being monitored and also using a Coral USB. Also something to think about, your wifi doorbell will have a constant video stream running across your wifi which could adversely affect wifi performance. I originally did this with my Amcrest/Wyze doorbells. Ended up just adding another analog camera through my Amcrest DVR for $25. This also prevents a blind spot for my packages being put directly under the doorbell cams. When I started this project I thought I had to convert all my cams to POE digital cams but analog video at 720p still works great and pricing on a good analog DVR is less than $100 these days. Highly recommend Amcrest but full disclosure, I’ve reviewed their devices for years which they have provided at no cost. Sent from my iPhone using Tapatalk

You will need to change your config though I’ve not worked through getting an AMD cpu/gpu setup with Frigate. However, there are example config you can copy from the frigate site. I believe what you are looking for is VAAPI or something like that. Sent from my iPhone using Tapatalk

So after running both the Coral with 12th Gen Intel QSV and Nvidia Quadro RTX 4000 for Frigate processing for some time, the Coral/Intel setup significantly uses less power and generates much less heat than the Nvidia method. Overall, this resulted in 100watt less power usage and Quadro RTX 4000 is no longer running a constant 60C. Unrelated to unRAID but kind of wondering how the HA Yellow/RP4 would handle Frigate with Coral attached, I know others are doing it but just unsure about how many cameras and what not they are able to handle.

Good looking out! I bet this was my issue all along.

Just ran into this myself... trying to find a solution to move the dataset rather than just moving the files themselves. I'd like to keep my snapshots if possible.

These hard lock ups are killing me. @yayitazale Thoughts on using the yolov8n model? Looks like others are having better luck with it, reading through the gitlub issue link you posted. Also, I attempted limit the memory this container has to 4GB but that didn't help. I have also verified that it is limiting the memory. I thought this would keep it from using too much and killing off critical system processes but no. If anyone could please explain this behavior I would greatly appreciate it. The other attempt I made was restarting the container on a schedule but this most recent lock up happened within 4 hours so don't see this bandaid working without getting in the way of the events within frigate. I have to figure this out, I love Frigate. I'm finally able to accomplish what I was after when I first started purchasing security cams, to know whats happening around my home but not get notified everytime a leaf blows through my yard or the sun decides to come out. UPDATE: Nevermind, got home and realized there must have been some sort of power outage because one of my UPSs was screaming. Will continue with this 4GB limit and see what happens.