ByteTrack
UniTrack
| ByteTrack | UniTrack | |
|---|---|---|
| 6 | 1 | |
| 4,248 | 335 | |
| - | - | |
| 0.0 | 1.8 | |
| 21 days ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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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
UniTrack
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Multi Object Tracking from moving camera
Great suggestion! I’ll add the github link.
What are some alternatives?
multi-object-tracker - Multi-object trackers in Python
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.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
iou-tracker - Python implementation of the IOU Tracker
multi_object_tracking - Multi-object tracking of water fleas from video. Detects dark blotches on light background, performs multi-object association, tracks them with Kalman filters.
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.