A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment

Qualcomm AI Hub Models are used in a hands-on coding tutorial for classification, object detection, and hardware-aware deployment. The tutorial covers setting up the required package, loading MobileNet-V2 for local PyTorch inference, and handling input-shape issues. It also includes running inference on sample and real images, inspecting top predictions, and executing a YOLOv7 object detection example. The tutorial extends the workflow with a hardware-aware deployment example.