ByteTrack
norfair
| ByteTrack | norfair | |
|---|---|---|
| 6 | 4 | |
| 4,254 | 2,297 | |
| - | 1.1% | |
| 0.0 | 7.0 | |
| 7 days ago | about 1 month ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ByteTrack
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Multi Object Tracking from moving camera
Thanks for the suggestion! Unfortunately, unitrack code doesn't support custom data evaluation. I've found Bytetrack to be useful for my current task.
- Object tracking in videos?
- ByteTrack: Multi-Object Tracking by Associating Every Detection Box
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ByteDance Proposes An Impressive Multi-Object Tracking Architecture
Code for https://arxiv.org/abs/2110.06864 found: https://github.com/ifzhang/ByteTrack
Quick 5 Min Read | Paper | Github
- [R] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
norfair
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Seeking Efficient Video Object Tracking and or Video Segmentation Software for Research
If you're familiar with Python you can try using Norfair. It's a lightweight Python library for adding real-time multi-object tracking to any detector. There are lots of examples for you to try, they mostly differ on the object detector.
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Help combining custom detector (yolo) with a tracker.
Yyou can use norfair: https://github.com/tryolabs/norfair
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Empresa uruguaya que SI recomendarías
Tryolabs
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Tracker on top of YOLO algorithm?
Depending on your task normal SORT would work as well (No retraining required, just some Kallman filter and some other techniques). The library https://github.com/tryolabs/norfair has implemented SORT and can be extended with DeepSORT if you want.
What are some alternatives?
multi-object-tracker - Multi-object trackers in Python
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
kalmanpy - Implementation of Kalman Filter in Python
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.