Deep-SORT-YOLOv4
norfair
Deep-SORT-YOLOv4 | norfair | |
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1 | 4 | |
496 | 2,327 | |
- | 1.6% | |
0.0 | 7.0 | |
over 3 years ago | 2 months ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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Deep-SORT-YOLOv4
norfair
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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?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
multi-object-tracker - Multi-object trackers in Python
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
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.
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
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.
kalmanpy - Implementation of Kalman Filter in Python
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
Kornia - Geometric Computer Vision Library for Spatial AI