multi-object-tracker
ByteTrack
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| multi-object-tracker | ByteTrack | |
|---|---|---|
| 4 | 6 | |
| 666 | 4,230 | |
| - | - | |
| 6.4 | 0.0 | |
| 7 months ago | 14 days ago | |
| Python | Python | |
| MIT License | MIT 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.
multi-object-tracker
- 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
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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?
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
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.
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
Kornia - Geometric Computer Vision Library for Spatial AI
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.
Face Recognition - The world's simplest facial recognition api for Python and the command line
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
iou-tracker - Python implementation of the IOU Tracker