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Unified Framework for Vision Inference on the Edge
Edge processing for computer vision systems enable incorporating visual intelligence to mobile robotics platforms. Demand for low power, low cost and small form factor devices are on the rise.This work proposes a unified platform to generate deep learning models compatible on edge devices from Intel, NVIDIA and XaLogic. The platform enables users to create custom data annotations,train neural networks and generate edge compatible inference models. As a testimony to the tools ease of use anddoi:10.36227/techrxiv.11971383.v2 fatcat:ciah7gbvxvecrh2cywhzolgolu