githuganswered from live GitHub & Hugging Face data
video traking
open-mmlab/mmtrackingApache-2.0
MaintStale · 2.8y ago
Stars3.9k
Releasev1.0.0rc13.7y ago
Contrib39
Issues277 open
IDEA-Research/Grounded-SAM-2Apache-2.0
MaintSlowing · 8mo ago
Stars3.6k
Releasev1.01.6y ago
Contrib19
Issues59 open
For video tracking, several promising open-source libraries stand out, each with distinct features and varying levels of maintenance. Here’s a breakdown of the top contenders:
Top Projects for Video Tracking
| Project | Stars | Maintenance | Language | License | Best for |
|---|---|---|---|---|---|
| gaomingqi/Track-Anything | ⭐6974 | ⚠️ slowing | Python | MIT | Interactive object tracking and segmentation |
| facebookresearch/co-tracker | ⭐5019 | ✅ maintained | Jupyter Notebook | NOASSERTION | Point tracking in videos |
| abewley/sort | ⭐4366 | ⚠️ caution | Python | GPL-3.0 | Simple, online multiple object tracking |
| open-mmlab/mmtracking | ⭐3887 | ⚠️ caution | Python | Apache-2.0 | Unified video perception tasks |
| IDEA-Research/Grounded-SAM-2 | ⭐3628 | ⚠️ slowing | Jupyter Notebook | Apache-2.0 | Grounding and tracking with advanced models |
Detailed Insights
-
- Stars: 6974
- Last updated: 208 days ago
- Maintenance: ⚠️ slowing, with 114 open issues
- License: MIT
- Description: A flexible and interactive tool that allows users to track and segment objects in video. It utilizes multiple techniques, making it suitable for various applications including video editing and data annotation.
-
- Stars: 5019
- Last updated: 127 days ago
- Maintenance: ✅ maintained, with 101 open issues
- License: NOASSERTION
- Description: Focused on tracking any pixel or point in a video, using a fast transformer-based model. It's designed for users who need precise tracking capabilities across frames.
-
- Stars: 4366
- Last updated: 954 days ago
- Maintenance: ⚠️ caution, with 113 open issues
- License: GPL-3.0
- Description: A simple method for online multiple object tracking. While it's minimalistic, it serves well as a baseline for developing more complex tracking solutions.
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- Stars: 3887
- Last updated: 1024 days ago
- Maintenance: ⚠️ caution, with 277 open issues
- License: Apache-2.0
- Description: This toolbox supports a range of video perception tasks, including tracking, segmentation, and detection. It aims for a unified approach in handling diverse video analytics tasks.
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- Stars: 3628
- Last updated: 240 days ago
- Maintenance: ⚠️ slowing, with 59 open issues
- License: Apache-2.0
- Description: This project integrates multiple models to ground and track objects in videos, suitable for complex visual tasks.
Conclusion
If you’re looking for active maintenance and up-to-date resources, CoTracker is your best bet for precise point tracking. On the other hand, Track-Anything offers a richer toolkit for applications requiring interactive segmentation and tracking. For those interested in foundational tracking methodologies, SORT remains a straightforward choice despite its limitations. Make your choice based on your specific needs for flexibility, ease of use, or range of features!