Getting Started
Quick Primer
Importing NatML
To begin, import NatML to your Unity project by adding the following lines to your Unity project's Packages > manifest.json
file:
Once NatML has been imported, you can run ML models right in the Editor. For this example, we will classify an image using the popular MobileNet classifier architecture:
Importing the MobileNet Predictor
First, we'll import the MobileNet predictor into our project by following the import instructions:
The recommended way to make predictions with ML models is using Predictors. These are lightweight classes that 'know how' to format the model's input and output features.
Specifying your NatML Access Key
We will fetch our models from NatML Hub, . To do so, we need to retrieve our access key:
Once you have an access key, you can add it to your Unity project in Project Settings > NatML
:
Importing a Sample Image
Next, import the image below (download it into your Unity project):
Make sure that in the advanced settings, you enable the Read/Write Enabled
setting:
Making a Prediction
Now, we can write a small script to classify the image:
Now, let us add our script to the scene and assign the inspector variables:
Now, we run the script to confirm that our model predicted the image correctly!
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