Feature/teachable machine

[KallynGowdy]

:rocket: Improvements

• Added the os.openImageClassifier(options) and os.closeImageClassifier() functions.
  • These functions are useful for applying Machine Learning inside CasualOS to detect categories of things via the camera feed.
  • Currently, the image classifier is only able to consume models generated with Teachable Machine.
    1. To create a model, go to https://teachablemachine.withgoogle.com/ and click "Get Started".
    2. Create an "Image Project" and choose "Standard image model".
    3. Add or record photos in each class.
    4. Click "Train".
    5. Once training is done you can get a model URL by clicking "Export Model".
    6. Under "Tensorflow.js", choose "Upload (shareable link)" and click "Upload". You can also optionally save the project to Google Drive.
    7. Once uploaded, copy the shareable link.
    8. Create a bot with an @onClick tag and put the following code in it (replacing MY_MODEL_URL with the shareable link):

       await os.openImageClassifier({
           modelUrl: 'MY_MODEL_URL',
       });

  • options is an object with the following properties:
    • modelUrl - The sharable link that was generated from Teachable Machine.
    • modelJsonUrl - Is optional and can be used in advanced scenarios where you want to control where the model is stored.
    • modelMetadataUrl - Is optional and can be used in advanced scenarios where you want to control where the model is stored.
    • cameraType - Is optional and is the type of camera that should be preferred. Can be "front" or "rear".