#qualcomm Tech News.
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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.
The Radxa Dragon Q5E is a single-board computer with a Qualcomm Dragonwing Q-6690 processor. It has eight Kryo CPU cores up to 2.9 GHz, a 1.15 GHz Adreno GPU, and a Hexagon NPU delivering up to 6 TOPS of AI performance. The board includes dual 2.5 GbE LAN ports, HDMI output, USB Type-C and Type-A, and optional Power Over Ethernet. It supports up to 16GB of LPDDR5-6400 memory and has MIPI-CSI and MIPI-DSI connectors.
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