play-game-with-computer-vision
multi-object-tracker
| play-game-with-computer-vision | multi-object-tracker | |
|---|---|---|
| 4 | 4 | |
| 85 | 667 | |
| - | - | |
| 10.0 | 6.4 | |
| over 1 year ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
play-game-with-computer-vision
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Making €6,147,455 Overnight in in-game currency using Computer Vision
Source code - https://github.com/paulonteri/play-game-with-computer-vision
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?
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
open-mcr - :pencil: Exam bubble sheet scorer. Created with OpenCV and Python.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
python_video_stab - A Python package to stabilize videos using OpenCV
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
IkomiaApi - Deploy Computer Vision solutions with a few lines of code.
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Kornia - Geometric Computer Vision Library for Spatial AI
Face Recognition - The world's simplest facial recognition api for Python and the command line
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