Qengineering/YoloV5-ncnn-Jetson-Nano
YoloV5 for Jetson Nano
This project helps you detect and identify multiple objects within live video feeds or images using a low-cost, energy-efficient Jetson Nano device. It takes an image or video frame as input and outputs the same image or frame with bounding boxes and labels around detected objects. Anyone building embedded computer vision applications for scenarios like surveillance, robotics, or smart cameras would use this.
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Use this if you need to perform real-time object detection on an NVIDIA Jetson Nano and want a pre-configured solution for the YoloV5 model.
Not ideal if you require object detection on other hardware platforms, need to train your own custom YoloV5 models, or are looking for a high-level API.
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39
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Language
C++
License
BSD-3-Clause
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Last pushed
Sep 30, 2023
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