ltkong218/FastFlowNet
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)
This project helps robotic vision engineers and embedded systems developers analyze motion in video by estimating optical flow. It takes in two adjacent video frames and outputs a visual representation of the motion vectors between them, indicating how pixels move from one frame to the next. This is particularly useful for those building real-time vision systems for drones, autonomous vehicles, or surveillance on resource-constrained devices.
320 stars. No commits in the last 6 months.
Use this if you need to perform fast, accurate motion analysis on video feeds using minimal computational resources, especially on embedded devices like NVIDIA Jetson.
Not ideal if your primary concern is absolute top-tier accuracy at the cost of speed and you have access to powerful desktop GPUs or cloud computing.
Stars
320
Forks
44
Language
Python
License
MIT
Category
Last pushed
Aug 28, 2023
Commits (30d)
0
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