Qengineering/YoloX-ncnn-Jetson-Nano
YoloX for a Jetson Nano using ncnn.
This project enables real-time object detection on embedded devices. It takes a video stream or image as input and identifies specific objects, outputting bounding boxes around them and their labels. It's designed for engineers and hobbyists building applications on NVIDIA Jetson Nano boards that require fast, localized image analysis.
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Use this if you need to perform quick and efficient object detection directly on a Jetson Nano for applications like surveillance, robotics, or smart cameras.
Not ideal if you need to run complex, high-accuracy object detection models on more powerful hardware, or if you are not working with a Jetson Nano.
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20
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3
Language
C++
License
BSD-3-Clause
Category
Last pushed
Sep 30, 2023
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