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Top 14 Python multi-object-tracking Projects
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PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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yolo_tracking
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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WorkOS
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FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
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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.
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InfluxDB
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Yolov7_StrongSORT_OSNet
Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
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UniTrack
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset). (by Zhongdao)
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classy-sort-yolov5
Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
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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.
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I suggest to try the top down approach with the https://openmmlab.com/ open source package. The openmmlab provides multiple algorithms, datasets and pretrained models for various computer vision tasks. Start with mmpose video demo that integrates detection and pose estimation. You can add later tracking with https://github.com/open-mmlab/mmtracking to track the poses in time.
Project mention: Seeking Efficient Video Object Tracking and or Video Segmentation Software for Research | /r/computervision | 2023-12-07If 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.
Python multi-object-tracking related posts
- Tracking sets of Keypoints by Person
- Multi Object Tracking from moving camera
- Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
- [P]We have supported Quasi-Dense Similarity Learning for Multiple Object Tracking.
- [p]We have supported Quasi-Dense Similarity Learning for Multiple Object Tracking
- MMTracking have supported Quasi-Dense Similarity Learning for Multiple Object Tracking.
- MMTracking Supports Quasi-Dense Similarity Learning for Multiple Object Tracking
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Index
What are some of the best open-source multi-object-tracking projects in Python? This list will help you:
Project | Stars | |
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1 | PaddleDetection | 12,036 |
2 | yolo_tracking | 6,072 |
3 | ByteTrack | 4,230 |
4 | FairMOT | 3,926 |
5 | mmtracking | 3,375 |
6 | UniAD | 2,780 |
7 | norfair | 2,289 |
8 | FastMOT | 1,095 |
9 | multi-object-tracker | 666 |
10 | Yolov7_StrongSORT_OSNet | 388 |
11 | UniTrack | 335 |
12 | deep_sort_realtime | 133 |
13 | classy-sort-yolov5 | 107 |
14 | multi_object_tracking | 1 |
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