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Description
OpenCV, which stands for Open Source Computer Vision Library, is a freely available software library designed for computer vision and machine learning. Its primary goal is to offer a unified framework for developing computer vision applications and to enhance the integration of machine perception in commercial products. As a BSD-licensed library, OpenCV allows companies to easily adapt and modify its code to suit their needs. It boasts over 2500 optimized algorithms encompassing a wide array of both traditional and cutting-edge techniques in computer vision and machine learning. These powerful algorithms enable functionalities such as facial detection and recognition, object identification, human action classification in videos, camera movement tracking, and monitoring of moving objects. Additionally, OpenCV supports the extraction of 3D models, creation of 3D point clouds from stereo camera input, image stitching for high-resolution scene capture, similarity searches within image databases, red-eye removal from flash photographs, and even eye movement tracking and landscape recognition, showcasing its versatility in various applications. The extensive capabilities of OpenCV make it a valuable resource for developers and researchers alike.
Description
SimpleCV is a freely available framework designed for the creation of computer vision applications. It provides users with access to a variety of powerful libraries, including OpenCV, without requiring them to grasp complex concepts such as bit depths, file formats, color spaces, buffer management, eigenvalues, or the distinctions between matrix and bitmap storage. This framework streamlines the process of computer vision. The capabilities of SimpleCV extend far beyond the basics outlined here. For those interested in diving deeper, we encourage you to explore our tutorial for comprehensive guidance. Additionally, a wealth of examples can be found in the SimpleCV directory within the examples folder, which is also available for download from our site. As an open-source framework, SimpleCV comprises an array of libraries and software tools that facilitate the development of vision applications. It enables users to interact with images or video feeds from various sources such as webcams, Kinects, FireWire and IP cameras, or even mobile devices. Ultimately, it empowers developers to create software that not only perceives the environment but also interprets it effectively.
API Access
Has API
API Access
Has API
Integrations
Akira AI
C++
Dash
Intel Open Edge Platform
Java
MATLAB
Python
SikuliX
Weasis
thumbor
Integrations
Akira AI
C++
Dash
Intel Open Edge Platform
Java
MATLAB
Python
SikuliX
Weasis
thumbor
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenCV
Country
United States
Website
opencv.org/about/
Vendor Details
Company Name
SimpleCV
Country
United States
Website
simplecv.org
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration