multi-object-tracker VS Face Recognition

Compare multi-object-tracker vs Face Recognition and see what are their differences.

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multi-object-tracker Face Recognition
4 35
687 55,037
0.7% 0.4%
6.4 0.0
almost 2 years ago 11 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

multi-object-tracker

Posts with mentions or reviews of multi-object-tracker. We have used some of these posts to build our list of alternatives and similar projects.

Face Recognition

Posts with mentions or reviews of Face Recognition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-12-14.

What are some alternatives?

When comparing multi-object-tracker and Face Recognition you can also consider the following projects:

Kornia - 🐍 Geometric Computer Vision Library for Spatial AI

insightface - State-of-the-art 2D and 3D Face Analysis Project

norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.

OpenCV - Open Source Computer Vision Library

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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