Qengineering/NanoDet-Tracking-ncnn-RPi_64-bit
NanoDet with tracking for a bare Raspberry Pi 4 using ncnn.
This project helps you accurately count and track moving objects, such as people or vehicles, in video footage, even when they temporarily disappear from view. It takes a video file as input and outputs a stream of identified and continuously tracked objects. It's ideal for anyone who needs to monitor movement in real-time using a Raspberry Pi device, such as for security, retail analytics, or wildlife observation.
No commits in the last 6 months.
Use this if you need to reliably track individual objects in video feeds from a Raspberry Pi 4, especially in scenarios with occasional occlusions.
Not ideal if you require extremely high frame rates or are working with a different hardware platform or operating system than a 64-bit Raspberry Pi 4.
Stars
8
Forks
—
Language
C++
License
BSD-3-Clause
Category
Last pushed
Nov 06, 2023
Commits (30d)
0
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