py-motmetrics
multi-object-tracker
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| py-motmetrics | multi-object-tracker | |
|---|---|---|
| 1 | 4 | |
| 1,322 | 666 | |
| - | - | |
| 4.9 | 6.4 | |
| 7 days ago | 7 months 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.
py-motmetrics
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HOW to find MOTA and MOTP for MOT evaluation metrics?
I think this repo is a great starting point for your question: https://github.com/cheind/py-motmetrics
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.
What are some alternatives?
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
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
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
Face Recognition - The world's simplest facial recognition api for Python and the command line