amoudgl/pygoturn
PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)
This project helps computer vision researchers track objects in video sequences at high speed. You input video frames, and it outputs the same frames with predicted bounding boxes around the tracked object. It's designed for researchers working on visual object tracking algorithms and real-time video analysis.
137 stars. No commits in the last 6 months.
Use this if you need a fast, deep learning-based object tracker for research or applications that require real-time performance.
Not ideal if you need a simple, off-the-shelf solution without any interest in modifying or understanding the underlying deep learning model.
Stars
137
Forks
35
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 04, 2019
Commits (30d)
0
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