Qengineering/YoloFastest-ncnn-Jetson-Nano
YoloFastestV2 for a Jetson Nano
This project helps operations engineers or system integrators deploy fast object detection on NVIDIA Jetson Nano devices. It takes live camera feeds or image files as input and quickly identifies objects within the scene, providing real-time visual analysis. This is ideal for embedded vision systems where processing speed is critical.
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Use this if you need rapid object detection on a Jetson Nano for applications like security monitoring, industrial automation, or drone vision.
Not ideal if your application requires detecting very small objects or processing extremely high-resolution images, as accuracy may decrease.
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14
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1
Language
C++
License
BSD-3-Clause
Category
Last pushed
Sep 30, 2023
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