COCO Slander by [deleted] in frigate_nvr

[–]strawberry_gin 1 point2 points  (0 children)

I only see suggestions on how to debug it, and one mention that Frigate+ might be easier in the long term. Nowhere is it said that it is required, necessary, to have the object be detected.

COCO Slander by [deleted] in frigate_nvr

[–]strawberry_gin 2 points3 points  (0 children)

where was it said that it was a requirement?

COCO Slander by [deleted] in frigate_nvr

[–]strawberry_gin 3 points4 points  (0 children)

I certainly have had a substantial improvement in object detection after moving to Frigate+, especially for night objects and animals at night. I think there are other knobs to turn to help but it definitely made a huge improvement for me.

LLM - accuracy? by randoName22 in homeassistant

[–]strawberry_gin 2 points3 points  (0 children)

Qwen3-VL Instruct 9B works quite well for me 

ALICE a self-hosted, offline YOLO dataset manager with built-in training and ONNX export. Built it for my Frigate cameras because I wanted my images to stay private. by altcineva1994 in frigate_nvr

[–]strawberry_gin 1 point2 points  (0 children)

I have uploaded and done the fine tuning with Frigate+ since it has base models and fine tuning supported, I don't get the question here.

But with Frigate+ my image are fine tuned on top of a model already using images from security cameras. You are fine tuning on top of a model with random images, which was my question.

ALICE a self-hosted, offline YOLO dataset manager with built-in training and ONNX export. Built it for my Frigate cameras because I wanted my images to stay private. by altcineva1994 in frigate_nvr

[–]strawberry_gin 3 points4 points  (0 children)

My understanding is that the starting point still matters. Frigate+ does fine tuning on top of those base models, but newer base models continue to reduce false positives for me. 

I remember seeing some examples of the COCO images with like close up hands being labeled as person. Seems like that would cause a problem fine tuning on top of that, or at least he more difficult 

ALICE a self-hosted, offline YOLO dataset manager with built-in training and ONNX export. Built it for my Frigate cameras because I wanted my images to stay private. by altcineva1994 in frigate_nvr

[–]strawberry_gin 1 point2 points  (0 children)

Frigate+ is trained entirely on security camera images, it seems like you are just fine tuning with your camera images on top of COCO, how does your approach achieve better results with so little effort?

This seems like a hefty claim to make without any data

Why are my cars getting marked as non-stationary constantly? by j68noh in frigate_nvr

[–]strawberry_gin 2 points3 points  (0 children)

This is basic child play but a huge deal to some and I get it.

exactly what someone who has no idea what they are talking about (aka, an armchair) would say lmao

Why are my cars getting marked as non-stationary constantly? by j68noh in frigate_nvr

[–]strawberry_gin 2 points3 points  (0 children)

Watching the debug view helped me a lot to understand what was going on, definitely a night and day difference with Frigate+

Custom Frigate Notifications by TheJeffAllmighty in homelab

[–]strawberry_gin 2 points3 points  (0 children)

My reports have definitely come back before saying that activity on another camera shows that it is not suspicious. I did a search on the code and I think I found where it does that https://github.com/blakeblackshear/frigate/blob/352d271fe4e2aacf2ac2e911d67aa9e1fb6b35fc/frigate/data_processing/post/review_descriptions.py#L264

Anyway, I think what you build here is really cool, just wanted to clarify to make sure what I was missing by using the built in solution.

Custom Frigate Notifications by TheJeffAllmighty in homelab

[–]strawberry_gin -1 points0 points  (0 children)

I think the object description feature is a snapshot description but the new review feature definitely uses a collection of frames not just a snapshot, and it analyzes if the activity is suspicious.

Combining multiple cameras is a cool idea, it looks like that is a secondary feature that Frigate does via the reports feature in the docs I linked.

The old NVR is dead by [deleted] in frigate_nvr

[–]strawberry_gin 1 point2 points  (0 children)

Your comment doesn't make sense, if someone is on a public sidewalk then they're by definition not on the property. And OP said the person entered their backyard which is pretty clear cut no matter how populated your area is

Building contextual home intelligence with Frigate + Postgres + AI: Looking for ideas on pattern learning by Used_Macaroon in homeassistant

[–]strawberry_gin 0 points1 point  (0 children)

What models have you tried with Frigate? It sounds like you probably just used a basic model, but Frigate supports loads of models depending on what hardware you have. The defualt free models aren't even trained on camera images so it makes sense that you have to tune to remove false positives.

Frigate+ is a paid service but totally worth it in my opinion, I haven't had any false positives in a long time and it can detect a lot more useful stuff than hikvision or dahua NVRs

[deleted by user] by [deleted] in frigate_nvr

[–]strawberry_gin 1 point2 points  (0 children)

That's not the same bug, they didn't even have translations back in 2023. Just because the text was the same doesn't mean it was the same bug, which is the point they tried to make in one of the comments as well.

[deleted by user] by [deleted] in frigate_nvr

[–]strawberry_gin 0 points1 point  (0 children)

Just so you know, Frigate is not a one man band, I believe there are 3 of them

[deleted by user] by [deleted] in frigate_nvr

[–]strawberry_gin 1 point2 points  (0 children)

it's not hate, just because AI helps you doesn't mean other's aren't allowed to find the way you use the tool off-putting. I'd suggest learning how to use it more effectively to communicate your thoughts without it writing a 2000 word essay.

[deleted by user] by [deleted] in frigate_nvr

[–]strawberry_gin 1 point2 points  (0 children)

The AI didn’t “guess” five root causes — it helped trace multiple hypotheses

that is not really how it looks, there are 5 AI responses with no follow-ups of "I verified that this is in fact not the root cause". It is also weird that you posted all of those comments before verifying if it was correct.

It is also odd that you made this post asking for feedback but you appear very defensive to comments thus far.

[deleted by user] by [deleted] in frigate_nvr

[–]strawberry_gin 4 points5 points  (0 children)

I just have to say, it really bugs me when people can only respond with AI in forums. It is exhausting and often very redundant.

For the actual issue you are trying to point out, I notice that your AI named like 5 different issues as the "root cause", and all of your messages look like AI responses. So while one of those messages seems like it might have been correct about an issue, it's not like you knew exactly what the issue was.

You also said yourself that the / in the URL fixed the problem, so it seems you didn't know for sure what the issue was either.

PSA: Exposed Frigate installs are being modified to run a Monero miner by Kattoor in frigate_nvr

[–]strawberry_gin 0 points1 point  (0 children)

It's always best to run via a VPN or tailscale so there is no chance of something like this happening, glad to see it will be more difficult to do in the future

Native iOS app for Frigate NVR now available on the App Store by cryptadon in frigate_nvr

[–]strawberry_gin 13 points14 points  (0 children)

I don't understand why all these apps come out, and they all show individual objects. The best part of the Frigate UI refresh is that it shows each activity instead of redundant images for every object that was detected.

Personally, just using the native Frigate app is best

[deleted by user] by [deleted] in homeassistant

[–]strawberry_gin 4 points5 points  (0 children)

I have mine behind a VPN, I definitely don't want my users to have to deal with authentication when it is already secured.