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
Get YOLO Output
#10
by Hans78 - opened
Hi,
how have you figured out how to get the right output from the model?
I mean, how do you know which numbers from the output mean what?
Is there any documentation on this?
I am trying to do something similar as you with the YOLOv8n-pose model.
Any hints are much appreciated!
Hello Hans78.
The provided models were pretrained on a COCO dataset, which covers the provided 80 object classes, and therefore the class labels are known from the used training set.
More details can be found here: https://docs.ultralytics.com/datasets/detect/coco/