jiaweihe1996/GMTracker
Official PyTorch implementation of "Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking" (CVPR 2021).
This project helps computer vision practitioners analyze video footage to identify and follow multiple moving objects over time. It takes raw video sequences and initial object detections as input, then outputs text files specifying the unique identity and location of each object in every frame. It's designed for researchers and engineers working on advanced object tracking applications.
117 stars. No commits in the last 6 months.
Use this if you need to accurately track the movement of multiple distinct objects across video frames, especially in complex scenarios with occlusions or crowded scenes.
Not ideal if you only need to detect objects at a single point in time, or if you require a simple, out-of-the-box solution without deep learning model configuration.
Stars
117
Forks
22
Language
Python
License
GPL-3.0
Category
Last pushed
Dec 31, 2021
Commits (30d)
0
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