So far all looks good post the below screenshot.main here...and the yolo custom models folder
sending both the yolov5 6.2 version (that shows only yolo, not ipcam-combined I think) and the .net version, which looks like nothing is happening in the log?So far all looks good post the below screenshot.
One thing that I do not thinks should be an issue is that the Object Detection (YOLOv5 .NET) custom model folder only needs onnx extension files and the Object Detection (YOLOv5 6.2) custom model folder only needs PT extension files
View attachment 151318
So far all looks good post the below screenshot.
One thing that I do not thinks should be an issue is that the Object Detection (YOLOv5 .NET) custom model folder only needs onnx extension files and the Object Detection (YOLOv5 6.2) custom model folder only needs PT extension files
View attachment 151318
OK, I can now get both the ObjectDetection (Yolov5 6.2) AND the .NET versions working with Mike's models! The trick, for me, was to not have any yolov5l models in the respective custom model folders. Just IPcam-combined.pt in the ObjectDetectionYolo\custom-models folder and IPCam-combined.onnx in the ObjectDetectionNet\custom-models folder. It seems having both Mikes and Yolov5l in the same custom folders makes CPAI use only the Yolo and ignore mikes? for me anyway. So all good here for nowSo far all looks good post the below screenshot.
One thing that I do not thinks should be an issue is that the Object Detection (YOLOv5 .NET) custom model folder only needs onnx extension files and the Object Detection (YOLOv5 6.2) custom model folder only needs PT extension files
View attachment 151318
You need to use Object Detection (YOLOv5 .NET) module for Intel GPU support, make sure that Object Detection (YOLOv5 6.2) is disabled. One note currently custom models do not work with Blue Iris.Can't get GPU mode to work on Intel UHD 630 GPU. No matter how many times I click enable GPU it displays CPU.
Shouldn't it work with the embedded Intel GPU's ?
When Object Detection (YOLOv5 .NET) first starts it shows CPU, does it change if you run a test using CodeProject.AI Explorer link.I have it like so:
View attachment 151401
View attachment 151402
Also tried without been on RDP, so it only sees the Intel 630 GPU, but no difference.
No, it stays the same.. Just count up from the zero to now 11.When Object Detection (YOLOv5 .NET) first starts it shows CPU, does it change if you run a test using CodeProject.AI Explorer link.
View attachment 151403
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I am not sure what the issue might be, it may be Remote Display Adapter. Can you post your issue on CodePjoject.AI forumJust tried updating GPU driver to 31.0.101.2114, but still no difference.
I have done that, and looking in the code to see if I can get any wiser about the problem. So far it seem that CPAI_MODULE_SUPPORT_GPU should be True, but its False.Can you post your issue on CodePjoject.AI forum
What happens if you temporary disable the Remote Display Adapter and restart CodeProject.AI service, does it work then.I have done that, and looking in the code to see if I can get any wiser about the problem. So far it seem that CPAI_MODULE_SUPPORT_GPU should be True, but its False.
No, I have tried rebooting the pc, and just check the status via the webservice, but still no luck.What happens if you temporary disable the Remote Display Adapter and restart CodeProject.AI service, does it work then.
Not yetDoes the combined model include the dark one?
Thanks for testing. I can get GPU mode enabled by enabling CUDA in BI. But why is it controlled by BI and not the program itself ? Or bothSo do we need to have CUDA checked ? This is using a INTEL embedded 770 CPU. I do think it is working as it bumps up mu GPU usage.
Thanks for testing. I can get GPU mode enabled by enabling CUDA in BI. But why is it controlled by BI and not the program itself ? Or both
In says GPU (DirectML) now, but don't see any GPU usage and response times are the same as using CPU.
So either its not working or the Intel GPU, in my case the Intel 630 UHD on a 6-core i5-8500T CPU, is not any faster than using the CPU mode.
@Tinman Do you see any difference in using CPU or the Intel GPU ? What kind of response times do you get ?