Face Recognition VS gaps

Compare Face Recognition vs gaps and see what are their differences.

Face Recognition

The world's simplest facial recognition api for Python and the command line (by ageitgey)

gaps

A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone: (by nemanja-m)
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Face Recognition gaps
34 -
51,693 704
- -
0.0 5.7
about 2 months ago 14 days 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.

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 2023-05-28.

gaps

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

We haven't tracked posts mentioning gaps yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Face Recognition and gaps you can also consider the following projects:

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

CompreFace - Leading free and open-source face recognition system

Milvus - A cloud-native vector database, storage for next generation AI applications

OpenCV - Open Source Computer Vision Library

tesseract-ocr - Tesseract Open Source OCR Engine (main repository)

Kornia - Geometric Computer Vision Library for Spatial AI

Dlib - A toolkit for making real world machine learning and data analysis applications in C++

facenet - Face recognition using Tensorflow

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

SimpleCV - The Open Source Framework for Machine Vision

deepstream-occupancy-analytics - This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

EagleEye - Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.