multi-object-tracker
Multi-object trackers in Python (by adipandas)
norfair
Lightweight Python library for adding real-time multi-object tracking to any detector. (by tryolabs)
| multi-object-tracker | norfair | |
|---|---|---|
| 4 | 4 | |
| 687 | 2,508 | |
| 0.7% | 0.8% | |
| 6.4 | 6.4 | |
| almost 2 years ago | 3 months ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" 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.
norfair
Posts with mentions or reviews of norfair.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-27.
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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?
When comparing multi-object-tracker and norfair you can also consider the following projects:
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.
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
Face Recognition - The world's simplest facial recognition api for Python and the command line
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval