Edge AI Studio is a collection of graphical and command line tools designed to accelerate edge AI development on TI processors, microcontrollers and radar sensors. Whether developing a proof of concept using a model from the TI Model Zoo or leveraging your own model, Edge AI Studio provides the tooling you need.
The Edge AI Studio graphical user interface provides a fully integrated solution for collecting and annotating data, training and compiling models for deployment on a live development platform. Select from a variety of pre-trained models in the TI Model Zoo and optionally re-train them with custom data to improve accuracy and performance. Edge AI Studio is available as a cloud based application for processors devices and as both a cloud and desktop application for microcontrollers. When using a microcontroller the output of Edge AI Studio is consumed by the Code Composer Studio™ development environment.
For advanced users or those using open-source environments, such as PyTorch or TensorFlow, TI provides a set of command-line tools enabling the use of TI devices in these environments. The Tensor Virtual Machine (TVM) compiler framework is used to optimize models for TI devices, both with and without dedicated accelerators. When working with TI processors (MPUs) that feature dedicated AI accelerators such as C7x/MMA, the TI Deep Learning library (TIDL) contains highly optimized implementations of common layers to ensure maximum performance. With the command-line tools, it is
also possible to Bring Your Own Model (BYOM).
TI supports the development of edge AI solutions for many types of applications, including but not limited to:
Processors (MPUs)
Microcontrollers (MCUs)
Radar sensors
Model Composer is a fully integrated no-code solution for training and compiling models for deployment into edge AI applications. It supports Bring-Your-Own-Data (BYOD), enabling the re-training of models from the TI Model Zoo with custom data. Deploy to your local development board.
Tasks supported:
Edge AI Studio 1.5.0 Installer
Model Composer is a fully integrated no-code solution for training and compiling models for deployment into edge AI applications. It supports Bring-Your-Own-Data (BYOD), enabling the re-training of models from the TI Model Zoo with custom data. Deploy to your local development board.
Tasks supported:
Devices supported:
Tasks supported:
Devices supported:
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