multi-object-tracker
Multi-object trackers in Python (by adipandas)
ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box (by FoundationVision)
| multi-object-tracker | ByteTrack | |
|---|---|---|
| 4 | 7 | |
| 687 | 5,354 | |
| 0.7% | 0.7% | |
| 6.4 | 0.0 | |
| almost 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
multi-object-tracker
Posts with mentions or reviews of multi-object-tracker.
We have used some of these posts to build our list of alternatives
and similar projects.
- Multi-object trackers in Python
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Difference DeepSort and doing detection on each frame
You may find this useful: https://adipandas.github.io/multi-object-tracker/
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SORT Tracker adds extra objects
As you can see, in Frame 43, the tracker assigns the ID 10 to a metal post, but a few frames later when the tracker tracks the same metal post, it provides an ID of 11. This shows that the tracker is assigning new IDs to the same detected object. I cannot seem to find out why this happens, and how to fix it. I am using the motrackers module from this repo. I have not made any changes as such in the mot_yolov3.py file, I have just added the line to print the frame counter.
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Example Of A Simple And Well Made Python Project
I have a simple python project which has gone through at least 5 iterations since I began working on it. Please see this link: adipandas/multi-object-tracker.
ByteTrack
Posts with mentions or reviews of ByteTrack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-07-31.
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Using YOLO for Real-Time Object Detection with Koyeb GPUs
ByteTrack is a more recent tracking algorithm that is designed to handle occlusions and overlapping objects better. It uses a byte-level representation of objects and a motion model to predict the future position of objects. To enable ByteTrack in YOLOv8, use the bytetrack.yaml configuration file.
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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
What are some alternatives?
When comparing multi-object-tracker and ByteTrack you can also consider the following projects:
Kornia - 🐍 Geometric Computer Vision Library for Spatial AI
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
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.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀