Search results
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New CodeProject.AI Object Detection (YOLO11 .NET) Module
Can you post your System Info, like the below -
New CodeProject.AI License Plate Recognition (YOLO11) Module
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 -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
I hope no news is good news. To all how is Object Detection (YOLO11 .NET) 1.4.0 module working for everyone? -
New CodeProject.AI License Plate Recognition (YOLO11) Module
I hope no news is good news. To all how is License Plate Recognition (YOLO11 .NET) 1.1.1 module working for everyone? -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
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 -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
Check the below folder and see if appsettings.json is missing. Also try refreshing the webpage by doing CTRL + F5. -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
I just released Object Detection (YOLO11 .NET) 1.4.0 module for windows. This version supports both YOLO11 and YOLOv5 models. All of my YOLOv5 custom models are included until I can train the YOLO11 versions of the models. The YOLOv5 models have a suffix of -v5, to use them you would for example... -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
Open up Task Manager and go to the Performance tab and in the left column you will see two GPUs. The Device ID is to the right of GPU -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
Once the models are installed they are run locally. Same as any other CP.AI module. -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
The yolov5 6.2 module does not work so most likely I will be removing it. It is not needed because the YOLO11 module work with both YOLOv5 and YOLO11 models. -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
I just pushed a new version of the docker container. This version now has the Object Detection (YOLO11 .NET) 1.3.0 module. This version supports both YOLO11 and YOLOv5 models. All of my YOLOv5 models are included until I can train the YOLO11 versions on the models. The YOLOv5 models have a... -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
I just pushed mikelud/ai-server:cuda12_8, try and see if this works for you using the Object Detection (YOLOv5 .NET) 1.14.0 module, it should be using GPU (CUDA). I have the container running and my RTX 5090 works. The Object Detection (YOLOv5 6.2) 1.10.0 module still does not work, I need to... -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
I am working on building a Docker container that should work with RTX 5000 series GPUs. I will try to get the container released this weekend -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
Did you try Enable GPU, if GPU (CUDA) does not work with the Object Detection (YOLOv5 .NET) 1.14.0 module in your Ubuntu VM then most likely the new Object Detection (YOLO11 .NET) 1.3.0 module will not work also -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
This weekend I will try to get a CUDA version and this should work in your ubuntu VM. Does the Object Detection (YOLOv5 .NET) 1.14.0 module work in your ubuntu VM using CUDA? -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
Try moving CP.AI to the Windows 11 VM, it looks like you can get DirectML to work on the VM, see the below... -
New CodeProject.AI License Plate Recognition (YOLO11) Module
Use these settings -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
I have not tested it on other OSs. If you do not have a Nvidia GPU is is best to run CP.AI on Windows using the .NET modules with DirectML. The .NET module with DirectML will work with almost any GPU and is faster the CUDA The DirectML execution provider requires a DirectX 12 capable device... -
New CodeProject.AI License Plate Recognition (YOLO11) Module
I think I can still improve the accuracy even more. -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
try refreshing the web page using CTRL + F5 -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
You can ignore the timeout it should fully install, I get the same thing and it install correctly. -
New CodeProject.AI License Plate Recognition (YOLO11) Module
The new version was to fix issues with some of the users not able to run the model. Most likely this version will be the version that I will continue to update. -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
No, you can keep it installed -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
If you have CP.AI installed on a Windows PC then yes and it will be using GPU DirectML It is better and will be faster -
New CodeProject.AI Object Detection (YOLO11 .NET) Module
I will be creating new models that will work with the Object Detection (YOLO11 .NET) module. -
New CodeProject.AI License Plate Recognition (YOLO11) Module
I hope no news is good news. To all how is License Plate Recognition (YOLO11 .NET) 1.1.1 module working for everyone? -