Face-Mask-Detector VS OpenCV

Compare Face-Mask-Detector vs OpenCV and see what are their differences.

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Face-Mask-Detector OpenCV
1 196
0 75,692
- 1.0%
0.0 9.9
over 3 years ago 3 days ago
Python C++
- Apache License 2.0
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-Mask-Detector

Posts with mentions or reviews of Face-Mask-Detector. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-09.

OpenCV

Posts with mentions or reviews of OpenCV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-13.

What are some alternatives?

When comparing Face-Mask-Detector and OpenCV you can also consider the following projects:

Python

libvips - A fast image processing library with low memory needs.

VTK - Mirror of Visualization Toolkit repository

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

CImg - The CImg Library is a small and open-source C++ toolkit for image processing

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

Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80

SimpleCV - The Open Source Framework for Machine Vision

scikit-image - Image processing in Python

Kornia - Geometric Computer Vision Library for Spatial AI

imagick - Go binding to ImageMagick's MagickWand C API

ITK - Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.