Instructions to use unity/inference-engine-yolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- unity-sentis
How to use unity/inference-engine-yolo with unity-sentis:
string modelName = "[Your model name here].sentis"; Model model = ModelLoader.Load(Application.streamingAssetsPath + "/" + modelName); IWorker engine = WorkerFactory.CreateWorker(BackendType.GPUCompute, model); // Please see provided C# file for more details
- Notebooks
- Google Colab
- Kaggle
Real time live object detection
#17
by PranavMohite-24 - opened
I have modified the given runYOLO script to detect object from live camera using unity Web cam texture but the performance is very low at about 1 to 2 fos on android devices. Please help if possible
i am also having same issue i tried async method but app was crashing
i am testing in samsung s23 i tired to change BackendType to cpu from gpu compute it is not woking
without async it igiving me 30 fps in unity editor and 1 - 5 fps in mobile and with async it is crashing