SPRADA8 may   2023 AM68A , TDA4VL-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2AM68A Processor
  6. 3Edge AI Use Cases on AM68A
    1. 3.1 AI Box
    2. 3.2 Machine Vision
    3. 3.3 Multi-Camera AI
  7. 4Software Tools and Support
    1. 4.1 Edge AI Software Development Kit (SDK)
    2. 4.2 Edge AI SDK Demonstrations
    3. 4.3 Edge AI Model Zoo
    4. 4.4 Edge AI Studio
  8. 5Conclusion
  9. 6Reference

4 Software Tools and Support

While being such a powerful processor, the AI application programing on AM68A is made simpler and faster with the adoption of Yocto Linux, mainline Kernel, production ready hardware accelerated components invoked via popular industry standard frameworks such as GStreamer, OpenVX, ROS, TensorFlow Lite (TFLite), ONNX and TVM run times. This makes edge AI application development as easy as programming in Python or C++ while still taking advantage of hardware accelerators for vision processing and AI functions.