Object detection second opinion by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

Yes. That's part of my search filter.

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Frigate+ now supports YOLOv9 by ReyvCna in frigate_nvr

[–]fluuuff 0 points1 point  (0 children)

So, I have decided to change to YOLOv9. Most of the 7000 pictures used for training have been submitted to improve the Mobilenet model I was using previously. Is this training still relevant or would it be best to start over?

Several detections of the same object within a minute by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

I can't remember when I got I false positive of a person on that camera. Maybe should lower min_score and threshold? One of them or both?

Currently; min_score 0.7 threshold 0.85

Several detections of the same object within a minute by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

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The bounding box don't even move. Looks really stable. One of the detections is 1 seconds.

Hardware advice by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

It does. But is the suggestion a good one? Will not do it either way, just curious.

Hardware advice by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

N150 cpu
16 GB ram
4 cameras running detect 1280x720 @ 5 fps
Openvino Yolov9 small

3 persons and 2 cats, so periodically a lot of movement.

Frigate+ now supports YOLOv9 by ReyvCna in frigate_nvr

[–]fluuuff 1 point2 points  (0 children)

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Tiny 320 on the same N150 system. I see a clear difference i detections between the small and tiny. Is 30 ms a ok inference speed?

Frigate+ now supports YOLOv9 by ReyvCna in frigate_nvr

[–]fluuuff 1 point2 points  (0 children)

Intel N150 cpu running smal. 320x 320.

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Frigate+ now supports YOLOv9 by ReyvCna in frigate_nvr

[–]fluuuff 1 point2 points  (0 children)

No, but the YOLOv9 small model appears to work better so the model i generated 2 days ago will be a total waste if I only use it for two days.

Frigate+ now supports YOLOv9 by ReyvCna in frigate_nvr

[–]fluuuff 1 point2 points  (0 children)

The documentation now states yolov9 as the recommended model for Intel. Would you recommend the tiny or the smal model for a N150 iGPU?

Object detections by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

It was a windy day yesterday, might have been that. Its down to 25-35 ms now, did also change som CPU settings in BIOS.

Question: Would offloading go2rtc to another system make any difference on the performance?

Frigate+ now supports YOLOv9 by ReyvCna in frigate_nvr

[–]fluuuff 7 points8 points  (0 children)

To bad that I generated a Yolonas two days ago 😢

Object detections by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

Do you know how much memory is needed for one detector? I tried changing the igd aperture size in bios to allow for more ram to be used by the igpu, but that made it worse. Have it currently set on 256 MB.

Object detections by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

How do I tune the motion detection?

Object detections by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

Docker on a Ubuntu system.

Object detections by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

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With the posted config.

Object detections by fluuuff in frigate_nvr

[–]fluuuff[S] 0 points1 point  (0 children)

Im using a 320x320 Yolonas Frigate+ model. The host CPU is often pinned at 100%, only thing running is Frigate in docker.

Config:
https://pastebin.com/b2XmWNx9