Top 3 Python multi-object-tracking-segmentation Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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UniTrack
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset). (by Zhongdao)
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python multi-object-tracking-segmentation related posts
- need help with object detection and object tracking using yolov4
- Researchers from Bytedance and Dalian University Propose 🦄 ‘Unicorn’: a Unified Computer Vision Approach to Address Four Tracking Tasks Using a Single Model with the Same Model Parameters
- [R] Unicorn: 🦄 : Towards Grand Unification of Object Tracking
- [R] Unicorn: 🦄 : Towards Grand Unification of Object Tracking(Video Demo)
Index
What are some of the best open-source multi-object-tracking-segmentation projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | UNINEXT | 1,438 |
| 2 | Unicorn | 942 |
| 3 | UniTrack | 335 |
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