Motpy

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motpy is an AI Frameworks & Infra tool that provides a simple yet powerful library for multi-object tracking. It implements tracking-by-detection using Kalman filters and supports IOU and feature similarity matching strategies.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is motpy?

motpy is a Python library designed for multi-object tracking using the tracking-by-detection paradigm. It offers a straightforward yet robust baseline for developers to implement object tracking without needing to build the entire algorithmic stack from scratch. Key features include IOU and optional feature similarity matching, Kalman filters for modeling object trackers, and configurable system orders for object position and size. The library is optimized for performance, achieving real-time tracking even on resource-constrained devices like the Raspberry Pi. It supports various use cases, from synthetic 2D tracking to detecting and tracking objects in videos and webcam face tracking, making it a versatile tool for computer vision applications.

Best used for

Ideal for developers and data scientists who need to implement robust multi-object tracking in computer vision projects, analyze video streams for object movement, and develop real-time tracking applications. Especially valuable for those working on embedded systems like Raspberry Pi or requiring configurable tracking models.

Common actions

track multiple objects

implement object detection

model object movement

process video streams

face swapping"AI Agents"github copilotdeepfakeopen-sourcelow-code/no-codeautomated workflowworkflowscollaboration

Capabilities

Key features

Tracking-by-detection paradigm
IOU matching strategy
Kalman filter modeling
Configurable system order
Real-time performance
Multiple object classes

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of objects can motpy track?

motpy is designed to track any n-dimensional object represented by a center point and its size. While commonly used for 2D bounding boxes in computer vision, its flexible modeling allows for tracking various types of objects across different dimensions.

Can motpy be used on low-power devices like Raspberry Pi?

Yes, motpy is optimized for performance and is capable of achieving real-time tracking even on Raspberry Pi devices. Additional dependencies might be required for installation on such platforms, as detailed in the documentation.

How does motpy handle object matching?

motpy primarily uses an IOU (Intersection Over Union) matching strategy. It also offers an optional feature similarity matching strategy, allowing for more robust tracking in scenarios where objects might overlap or have similar appearances.

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Coding & Development › Open Source & Models Research & Education › Scientific Computing Data & Analytics › Statistical & Scientific

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