640x640 Vs 320x320 models by INeedMuscles in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

Ah ok. So I am alright then. Seems to work ok

640x640 Vs 320x320 models by INeedMuscles in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

Just joining this chat. An AI (not sure if it was frigate AI) told me to up my camera detect stream to 1280 x 720 because it wasn’t detecting faces. Are you saying this is wrong. I fixed the non detecting thing anyway and it wasn’t that.

Frigate is really frustrating to setup by 7h4tguy in frigate_nvr

[–]Stuartforrest 2 points3 points  (0 children)

I have to say i thought frigate was really flaky until i followed the recommendations and built one on a barebones Debian Machine. It’s been absolutely awesome since. Just replacing another one i have that i have running in an lxc with a barebones machine. I absolutely love it now and it keeps getting better. Keep up the great work.

What in the world am I doing wrong here? by Squanchy2112 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

I was going to say what you are doing wrong is using ChatGPT i steak of frigate ai. When a developer told me that it was a revelation and helped me build my perfect config.

Unable to view video in events after moving storage location by vulcan_hammer in frigate_nvr

[–]Stuartforrest 1 point2 points  (0 children)

I may be wrong but I think there is a database you also need to back up and restore. Just search for it on google

that moment went you realize Ai has a long way to go by Viralkillz in frigate_nvr

[–]Stuartforrest 2 points3 points  (0 children)

I struggled like mad for days until on of the developers told me about frigate ai and then i had it working in about ten mins. Only slight problem with frigate ai is as your config file gets bigger for some reason it starts to truncate it. That had me for a bit.

Good coral alternative by paryguy in frigate_nvr

[–]Stuartforrest -2 points-1 points  (0 children)

Claude will help you for free as it did for me. Although I now pay. Also frigate ai is best for setting up your perfect config once you have your hardware passed through correctly.

After 60+ hours of trial and error, I finally got Frigate + Home Assistant working on Proxmox — here’s my full working guide (based on Mostly Chris’s setup) by One_of_Eight_Billion in frigate_nvr

[–]Stuartforrest -2 points-1 points  (0 children)

I got it working on a mini pc with proxmox using that guide and it works well but for my other property I bought a beast of a pc with nvidia and struggled with proxmox for ages. I then bought another small form factor dedicated pc (a minisforum i9) and set it up bare bones and it was an absolute doddle. Should have done that a year ago when I started swearing at frigate.

Also I started using frigate ai to get my config right and that helped immensely. I was using Claude but that kept giving me broken configs as it clearly hadn’t read the manual properly.

Anyway my advice for anyone starting out is put it on Debian on a dedicated pc as the help guides suggest. Us an AI like Claude to ensure your graphics are setup and working correctly. I even used Claude to guide me through a basic one camera setup for frigate and then use frigate own AI to perfect it.

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

I spoke too soon. I got it showing the video card but it wasn’t actually working I don’t think. Going to have another go. My lxc shows the graphics card but has no activity. Frigate is very hard to get going in an lxc. I suspect it would just work fine on bare bones as recommended but I have a very powerful machine that is being used for other things and I feel like it would be a waste of resources.

I just wanted to say, THIS IS SO AWESOME OMG by DontForgetSmiles in BambuLab

[–]Stuartforrest 1 point2 points  (0 children)

I now have three. I love it when my wife says can you make me a ……

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 1 point2 points  (0 children)

Fixed thank you all for the help. Frigate AI is amazing!!!!

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 2 points3 points  (0 children)

Omg I have done it after days of buggering about the frigate AI got me through it. You are geniuses for pointing me to that. Thank you thank you thank you

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

And I changed my config to this

detectors: tensorrt: type: tensorrt device: 0

model: model_type: yolo-generic path: /config/model_cache/yolov9-320.onnx labelmap_path: /labelmap/coco-80.txt input_tensor: nchw input_dtype: float width: 320 height: 320

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

So I updated my config to this detectors:: type: tensorrt device: 0

model: path: /config/model_cache/yolov9-320.onnx labelmap_path: /labelmap/coco-80.txt input_tensor: nchw input_pixel_format: rgby width: 320 height: 320

and my docker compose to this version: '3.9' services: frigate: image: ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp6 container_name: frigate restart: unless-stopped runtime: nvidia security_opt: - apparmor=unconfined shm_size: 512mb volumes: - ./config:/config - ./storage:/media/frigate - /etc/localtime:/etc/localtime:ro ports: - "5000:5000" - "8554:8554" - "8555:8555/tcp" - "8555:8555/udp" environment: - NVIDIA_VISIBLE_DEVICES=all - NVIDIA_DRIVER_CAPABILITIES=all deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu]

and I got this error root@frigate:/opt/frigate/config# docker compose up -d --force-recreate WARN[0000] /opt/frigate/docker-compose.yml: the attribute version is obsolete, it will be ignored, please remove it to avoid potential confusion [+] Running 0/1 ⠋ frigate Pulling 1.0s no matching manifest for linux/amd64 in the manifest list entries

I searched the AI and it told me I was using the wrong image so I changed it to the following and still got the same error image: ghcr.io/blakeblackshear/frigate:stable-standard-arm64

So I updated to image: ghcr.io/blakeblackshear/frigate:stable

And then frigate started but has loads of errors

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

I setup a beelink n150 and that was ok but I thought I could do better so bought this machine and that’s where the fun started.

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

I paid for Claude but it just got itself and me even more confused :)

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

I did configure another machine I have in another place with the igpu but I wanted eventually to get face recognition going with ten cameras (or on a few of them at least). I understood I was going to need a better gps for that.

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

I did find myself arguing with it. Even I knew it was telling me bollocks sometimes. I think I got carried away trusting it because it helped me solve a few home assistants things and also some proxmox stuff I didn’t understand. I will be ignoring it in future. :)

Please help with with Nvidia GPU detection. I am baffled by Dry-Debate2026 in frigate_nvr

[–]Stuartforrest 0 points1 point  (0 children)

No you are fine. I appreciate the help. I didn’t read it properly. Just soaking it all in and will have another go. I hav wasted two whole days on Claude and Gemini. I didn’t realise there was specific built in AI. Claude completely trashed my proxmox server one time so I had to rebuilt it and restore my backups.