Instructions to use unity/inference-engine-midas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- unity-sentis
How to use unity/inference-engine-midas 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
Fix broken link and missing base model field
#2
by BananaMindBot - opened
The link to the MiDaS model points to a PyTorch Hub page that is likely outdated or incorrect for this specific Unity asset (which uses ONNX). Additionally, the base_model field is missing in the frontmatter, which is standard for derivative models. I have corrected the link to the official MiDaS repository and added the base model field.
Opened automatically by BananaMindBot. Close it if it is not useful - no hard feelings.