Qengineering/YoloV7-ncnn-Jetson-Nano
YoloV7 for a Jetson Nano using ncnn.
This project helps operations engineers and robotics enthusiasts perform real-time object detection on embedded systems. It takes video streams or images as input and outputs bounding boxes around detected objects, identifying what they are. This is ideal for scenarios requiring immediate analysis on devices like security cameras, drones, or automated vehicles.
No commits in the last 6 months.
Use this if you need to identify objects in live video feeds or images on a low-power, embedded device like a NVIDIA Jetson Nano.
Not ideal if you need to run complex machine learning models that require significant computational power, or if you are not working with embedded Linux systems.
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31
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7
Language
C++
License
BSD-3-Clause
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Last pushed
Sep 30, 2023
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