Running Phi-3-vision via ONNX on Jetson Platform
Unlock the potential of NVIDIA's Jetson platform by running the Phi-3-vision model in ONNX format. Dive into the seamless process of compiling onnxruntime-genai, setting up the environment, and executing high-performance inference tasks on low-power devices like Jetson Orin Nano. Discover how to utilize quantized models efficiently, enabling robust image and text dialogue tasks, all while keeping your GPU workload-optimized. Whether you’re working with FP16 or Int 4 models, this guide will walk you through each step, ensuring you harness the full capabilities of edge AI on Jetson.High Performance Real time object detection on Nvidia Jetson TX2.
Real time object detection on my Nvidia Jetson TX2. The real time term here simply means, low latency and high throughput. It's a very loosely defined term, but it's used here in contrast to the store-and-process pattern, where storage is used as an interim stage.
