Nx AI Manager Documentation
  • Nx AI Manager plugin v4.4
  • Nx AI Manager
    • Get started with the NX AI Manager plugin
    • 1. Install Network Optix
    • 2. Install Nx AI Manager Plugin
    • 3. Configure the Nx AI Manager plugin
      • 3.1 Model Settings
      • 3.2 Model pipeline selection and configuration
      • 3.3 Model pipelines on multiple devices
    • 4. Other Network Optix Plugin Settings
    • 5. Manual Plugin Installation
    • 6. Removing the Nx AI Manager
    • 7. Advanced configuration
      • 7.1 Nx AI Manager Manual Installation
      • 7.2 External Post-processing
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      • 7.4 Training Loop
      • 7.5 Enable ini settings
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  • For Data Scientists
    • Introduction
    • About ONNX
    • Custom model creation
    • ONNX requirements
    • Importing models
      • From Edge Impulse
      • From Nota AI
      • From Teachable Machine
      • From Hugging Face
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      • From TensorFlow / TFLite
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      • Common Models
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  1. For Data Scientists

Importing models

PreviousONNX requirementsNextFrom Edge Impulse

Next to creating your own models, it is very common to train AI or ML models using some training platform or tool which are subsequently imported to the Nx AI cloud. In this section of our docs we provide information on how to export models using various model training tools, and we give tips on how to make sure your model can be uploaded to the Nx AI cloud and deployed to the Nx AI manager.

Note that in many cases the tools we discuss here allow you to export your trained model to ONNX. Once you have the ONNX graph, please see if its fits our requirements before uploading it to the Nx AI cloud.

Below we discuss training models using:

  • . Note that for EdgeImpulse exports it is not necessary to convert to ONNX.

  • .

  • .

  • .

  • Other platforms that allows you to export to ONNX.

Edge Impulse
Tensorflow / tensorflow lite
PyTorch
Teachable machine