Recent content by Village Guy

Well the results are in for anyone interested. I have tried to be as fair as I can in making this test by taking the average power reading in each configuration when camera activity is modest. System power consumption with CPU was 38 watts average and GPU was 46 watts average. Quiescent without...

My present understanding is that the Coral accelerator is unable to process medium and large models theirby reducing recognition accuracy. 110ms is an excellent response time for the Coral. Can you clarify if the 30ms and 110ms response times were using the same model size. It is indeed a...

Price aside, my question remains. Will the Coral accelerator ever be able to support large or even medium size models?

I agree price has to be taken into account but so does value for money. What is the point of spending $50 - $75 on an accelerator that may never be suitable for security cameras!

I have been monitoring the activities associated with the Coral accelerator for the last couple of months but for all the hype, IMHO it's performance is significantly less than my Nvidia 1060 card. Presently, Coral performance seems to be limited to a tiny or small model size which in turn...

Taking one aspect at a time. Your CPU seems to be struggling. Have you considered enabling your GPU within BI to reduce the BI CPU load? Are you recording continuously and capturing events or only wishing to record when an event happens that meets your criteria? Both are possible.

A quick spray around the camera with Spiderex will help keep the webs away until the next heavy rainfall.

IMHO Setting 50% minimum confidence is very low and is likely to return some pretty crazy results. I would suggest at least 70%. Personally I use 80%, this stops the local magpies being recognised as people :)

It has for me.

I don't believe the anomaly was restricted to specific cameras. I reported the issue to Ken advising him that on my hikvision cameras, ONVIF was only being honoured when External trigger was configured along with ONVIF. Ken fixed the anomaly in the next release.

My experience is that 2.18 is much more efficient than all earlier releases. My GPU load for 8 cameras dropped substantially when I upgraded from 2.17 to 2.18. I'm presently considering reverting to 2.18 from 2.19

I am seeing a strange anomaly with v2.19. Initially .NET does not load the GPU which in my case is an RTX 1060. When I forced GPU mode, it switched momentarily to ML and then switched back to CPU. I left it in CPU mode and after what seemed a minute or so it finally switched to ML. My take...

V2.19 has downloaded and installed for me without issue today. I'm guessing Microsoft has updated Defender.

Version 2.19 has been released. Does anyone know the changes?

The .NET model files are installed by default! This was posted courtesy of Mike Lud to my question: The .NET module uses .ONNX models and the 3.1 & 6.2 use .PT models. Most of the YOLOv5 and custom models that are included in the 3.1 & 6.2 module are also in the .NET module. You can convert...