Process This: Efficient object detection using Yolov5 and TDA4x processors
In this Process This episode, learn how to optimize deep learning models for the deep learning hardware accelerator on TDA4x processors. We will use a Yolov5 example and show you how simple it is to modify the model architecture so that it runs efficiently and performs best on TDA4x processor without compromising accuracy.
- TI Model Zoo introduction
- Yolov5 model overview
- Optimizations for the deep learning hardware accelerator on TDA4x processors
- Model compilation using open-source run-time software
- TI Edge AI Cloud tool for free model bench-marking and evaluation