@PeteJ Since you had this issue I have be testing both the License Plate Recognition (YOLO11 .NET) 1.1.1 and the Object Detection (YOLO11 .NET) 1.4.0 modules on a similar system like yours to see if I can recreate the errors you were having and so far I did not have any issues.
Maybe you had a...
Has anyone notes the latest beta has a GPU memory leak, at first I thought it was one of my new modules
The below version looks to fix the GPU memory leak.
https://ipcamtalk.com/threads/version-6-beta.83729/post-959959
Has anyone notes the latest beta has a GPU memory leak, at first I thought it was one of my new modules
The below version looks to fix the GPU memory leak.
https://ipcamtalk.com/threads/version-6-beta.83729/post-959959
The ipcam-general model was trained using YOLO11 and the ipcam-general-v5 was trained using YOLOv5. All the models ending with -v5 are the same model that is in the Object Detection (YOLOv5 .NET) 1.14.0 module. I find the ipcam-general-v5 has a little be better accuracy
ipcam-general model...
Most states and counties do not use the letter O. The dataset I used to train the OCR does not have the letter O so if there is a letter O it will always read as the number 0.
Link to the dataset used to train the OCR
https://www.kaggle.com/datasets/misdeeb/multilanguage-lp-character-recognition
How are you determining that it is only using your Intel iGPU? What number does is show next to GPU like the below screenshot. Also if you open up a command prompt and run nvidia-smi what number is to the left of NVIDIA