Qengineering/YoloX-ncnn-Raspberry-Pi-4
YoloX for a bare Raspberry Pi 4 using ncnn.
This project helps you perform real-time object detection on video streams or images using a Raspberry Pi 4. It takes visual input and identifies multiple objects within the scene, outputting their locations. This is ideal for hobbyists, educators, or researchers building low-cost computer vision projects.
No commits in the last 6 months.
Use this if you need to detect objects quickly and efficiently on a Raspberry Pi 4 for embedded vision applications.
Not ideal if you require highly complex object tracking, very high resolution analysis, or are working with more powerful computing hardware like a Jetson Nano or NVIDIA Orin.
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20
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1
Language
C++
License
BSD-3-Clause
Category
Last pushed
Jun 04, 2024
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