multi-object-tracker VS ByteTrack

Compare multi-object-tracker vs ByteTrack and see what are their differences.

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multi-object-tracker ByteTrack
4 6
610 3,105
- -
3.9 5.4
4 months ago 26 days 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.

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.

We haven't tracked posts mentioning multi-object-tracker yet.
Tracking mentions began in Dec 2020.

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 2022-06-02.

What are some alternatives?

When comparing multi-object-tracker and ByteTrack you can also consider the following projects:

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.

norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.

FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Kornia - Open Source Differentiable Computer Vision Library

Face Recognition - The world's simplest facial recognition api for Python and the command line

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.

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

OpenCV - Open Source Computer Vision Library

yolov8_tracking - Real-time multi-object tracking and segmentation using YOLOv8 with DeepOCSORT and OSNet