A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment
This tutorial demonstrates how to use Qualcomm AI Hub models for various machine learning tasks, including classification and object detection. It guides users through setting up the necessary software, loading a pre-trained MobileNet-V2 model, and performing local inference. The process involves converting image tensor formats and extending the workflow with a YOLOv7 object detection example, with an optional section for deploying on Qualcomm devices. AI
IMPACT Provides practical guidance for developers using Qualcomm's AI models on edge devices.