Recent content by Amgclk65

Hey, No overclocking. Just changing the idle speeds of the GPU. Codeproject ai doesn't constantly load the gpu. Most times the gpu is in an idle state. Well that slows detection times down. What @MikeLud1 is showing allows the gpu to run its full power without loading the gpu. Then in turn when...

That maxes out the clock speeds and memory speeds and adds heat and energy consumption. P-states is what you want to change. Nvidia has P0-P15 states. P0 being the fastest. I run at P5 (810,810) which is basically idle watts and detection times within 5 to 10 ms of the card running full...

Wow. The previous version to the newest. 2.5.1 maybe. I’ve been changing my gpu clocks with smi-nvidia commands. Noticed a little drop in performance with the latest version. Prefer the smi-nvidia method. Better electricity usage. Versus the full boogie method of max performance in the Nvidia...

Hey. Anyone hosting older versions of codeproject ai? I can’t seem to find them.

Hey. Anyone noticed YOLOv5.NET 1.9.3 stating cpu being used with a gpu enabled? I know the detection times are definitely the gpu doing the work. Maybe a failed 2.5.4 install.

The 8700G build dropped 8-10 watts. Cruising at 40-45 watts. Nice little tip/tweak. @mailseth Ive tried the M2 coral pcie version about 6 months or so ago. Too many canceled attempts. I did See MikeLud1 post in GitHub about training the Coral for his models. I'll revisit when it matures.

@MikeLud1 Hey. I’ll give that a try. Assuming it works for both intel and amd.

Hey, I've been playing around with a few rigs and there wattage usage. I'm looking for quick CodeProject AI response times with the minimalist power usage. Thought I would share some kill-a watt usage on two powerful setups. Got my hands a new Ryzen 7 8700G with 780M iGPU. As well as a 12700k...

.NET is faster with all my Nvidia gpu. 30/40 series. Plus changing default power settings. Set to max performance in the gpu setting. Keeps the clock speed of the gpu up. Also AMD gpu’s are pretty quick using .Net. 20-40 ms on average. @MikeLud1 Has stated several times .Net is faster as well.

Hey. Anyone noticed Nivdia gpu’s starting/stopping when using yolov5.NET? Seems to prefer yolo.6.2. If I leave yolo.6.2 installed and stop it. I can get yolo.net to run and stay running. If I uninstall yolo.6.2 and only have yolo.net it acts up. Prefer Yolo.net for the speed. Tried with 2.5.0...

Hey. Anyone running 4060 series Gpu? Testing a 4060 (newest game drivers,12.3 cuda) the detection times seems a bit slow. Running YOLOv5 6.2.. 75-105ms .NET using ML is a bit faster in around 55ms. I’ve used 3060-3070 in the past. Super fast times. I do know the CUDA count is better on the 30...

My testdata folder has only two photos. Where can I get the testdata photos?

I’ll play around with a clone camera and see the difference with ignoring some objects under those settings. Thanks

@actran Thanks for the info. I’ll deselect it and see how it goes. Now does that tie into the Static object analysis setting within the camera AI option?

Quick question , Can I only run the ipcam-general model?