Instructions to use DavidAtRedpine/sentis-LaboroTomatoYoloV8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- unity-sentis
How to use DavidAtRedpine/sentis-LaboroTomatoYoloV8 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

- Xet hash:
- d2e22663a0be236c765cb41aaf8d3986a8e98ff56f6925b29da7fdc16878ef80
- Size of remote file:
- 2.63 MB
- SHA256:
- f2bfbcdc74d8bb1607ae761e809a39fc60cb7590461250d8b53d4641621c6a9f
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