multi_object_tracking
ByteTrack
| multi_object_tracking | ByteTrack | |
|---|---|---|
| 1 | 6 | |
| 1 | 4,248 | |
| - | - | |
| 2.7 | 0.0 | |
| about 3 years ago | 24 days ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | MIT License |
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multi_object_tracking
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Show HN: Critter.Camera – Browser based motion detection and image capture
I also tackled the problem of moving-window brightness calibration in a related (but more constrained) problem --- tracking water fleas moving in a tank of water where an overhead light might periodically turn on and wash out the picture.
I essentially subtracted the current frame from the max across a moving window.
I'd be interested to chat about it if you like, my email is in my profile. The code is at https://github.com/nuchi/multi_object_tracking
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
What are some alternatives?
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
multi-object-tracker - Multi-object trackers in Python
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
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.
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
iou-tracker - Python implementation of the IOU Tracker
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.
StackStorm - StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.