MatConvNet

MatConvNet

VLFeat
RT-LAB

RT-LAB

OPAL-RT TECHNOLOGIES
+

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About

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

RT-LAB is OPAL-RT’s real-time simulation software combining performance and enhanced user experience. Fully integrated with MATLAB/Simulink®, RT-LAB offers the most complex model-based design for interaction with real-world environments. It provides the flexibility and scalability to achieve the most complex real-time simulation applications in the automotive, aerospace, power electronics, and power systems industries. Since its first application nearly 20 years ago on the Canadian Space Agency’s Canada Arm, RT-LAB has revolutionized the world of systems engineering, whether in space, on the ground or at sea. RT-LAB enables engineers and scientists to accelerate the development of new prototypes and to meet the most rigorous testing required by new and innovative technologies. RT-LAB handles everything, including code generation, with an easy-to-use interface. With just a few clicks of the mouse, a Simulink® model becomes an interactive real-time simulation application.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone in need of a deep learning software

Audience

Developers interested in a beautiful but advanced programming language

Audience

Automotive companies in need of a real-time simulation solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

VLFeat
United States
www.vlfeat.org/matconvnet/

Company Information

Python
Founded: 1991
www.python.org

Company Information

OPAL-RT TECHNOLOGIES
Founded: 1997
Canada
www.opal-rt.com/software-rt-lab/

Alternatives

Alternatives

Alternatives

Simulink

Simulink

MathWorks
LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
MATLAB

MATLAB

The MathWorks
DataMelt

DataMelt

jWork.ORG
System Composer

System Composer

MathWorks
MATLAB

MATLAB

The MathWorks
UberCloud

UberCloud

Simr (formerly UberCloud)

Categories

Categories

Categories

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

ActiveState
BaseRock AI
Blueshift
Claude Sonnet 3.5
CoTherm
CodeFactor
CodeSession
Defang
Ever Efficient AI
Idealogic
Kiro
LETSCMS MLM
MERCI Cloud ERP
Merico
NVIDIA TensorRT
Qtile
QuickChart
Sider Scan
Solara
Zenscrape

Integrations

ActiveState
BaseRock AI
Blueshift
Claude Sonnet 3.5
CoTherm
CodeFactor
CodeSession
Defang
Ever Efficient AI
Idealogic
Kiro
LETSCMS MLM
MERCI Cloud ERP
Merico
NVIDIA TensorRT
Qtile
QuickChart
Sider Scan
Solara
Zenscrape

Integrations

ActiveState
BaseRock AI
Blueshift
Claude Sonnet 3.5
CoTherm
CodeFactor
CodeSession
Defang
Ever Efficient AI
Idealogic
Kiro
LETSCMS MLM
MERCI Cloud ERP
Merico
NVIDIA TensorRT
Qtile
QuickChart
Sider Scan
Solara
Zenscrape
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