Instructions to use unity/inference-engine-mnist-12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- unity-sentis
How to use unity/inference-engine-mnist-12 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
| license: mit | |
| library_name: unity-sentis | |
| pipeline_tag: image-classification | |
| tags: | |
| - unity-inference-engine | |
| ## MNIST-12 Digit Recognition model in Unity 6 with Inference Engine | |
| This is a digit recognition model from the [ONNX Model Zoo](https://github.com/onnx/models/tree/main/validated/vision/classification/mnist) that can be used in Unity using Inference Engine. | |
| ## How to Use | |
| Example source code to run this model can be found at: [[Source Code](https://github.com/Unity-Technologies/inference-engine-samples/tree/main/DigitRecognitionSample) | |
|  | |
| ## Inference Engine | |
| Inference Engine is a neural network inference library for Unity. Find out more [here](https://docs.unity3d.com/Packages/com.unity.ai.inference@latest). |