MatConvNet

MatConvNet

VLFeat
+

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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

VisionPro Deep Learning is the best-in-class deep learning-based image analysis software designed for factory automation. Its field-tested algorithms are optimized specifically for machine vision, with a graphical user interface that simplifies neural network training without compromising performance. VisionPro Deep Learning solves complex applications that are too challenging for traditional machine vision alone, while providing a consistency and speed that aren’t possible with human inspection. When combined with VisionPro’s rule-based vision libraries, automation engineers can easily choose the best the tool for the task at hand. VisionPro Deep Learning combines a comprehensive machine vision tool library with advanced deep learning tools inside a common development and deployment framework. It simplifies the development of highly variable vision applications.

About

Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.

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

Any kind of company searching for a factory automation via Artificial Intelligence, rule based algorithms and deep-learning solution

Audience

Python developers seeking a tool to build applications

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

No information available.
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

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Review this Software

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

Reviews/Ratings

Overall 3.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 1.0 / 5
support 4.0 / 5

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

Cognex
Founded: 1981
United States
www.cognex.com/products/deep-learning/visionpro-deep-learning

Company Information

Wingware
Founded: 1999
United States
wingware.com

Alternatives

Alternatives

Alternatives

LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
DataMelt

DataMelt

jWork.ORG
SKY ENGINE

SKY ENGINE

SKY ENGINE AI
MATLAB

MATLAB

The MathWorks
NeuralVision

NeuralVision

Cyth Systems, Inc.

Categories

Categories

Categories

Deep Learning Features

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

Deep Learning Features

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

Application Development Features

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Integrations

Amazon Web Services (AWS)
Apache Subversion
C
C++
Emacs
MATLAB
P4
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Raspberry Pi OS
Spyder
StayLinked
Vagrant
Visual Studio
Visual Studio Code
Wing
Xcode

Integrations

Amazon Web Services (AWS)
Apache Subversion
C
C++
Emacs
MATLAB
P4
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Raspberry Pi OS
Spyder
StayLinked
Vagrant
Visual Studio
Visual Studio Code
Wing
Xcode

Integrations

Amazon Web Services (AWS)
Apache Subversion
C
C++
Emacs
MATLAB
P4
Predator DNC
Predator MDC
Predator PDM
Predator RCM
Predator Touch HMI
Raspberry Pi OS
Spyder
StayLinked
Vagrant
Visual Studio
Visual Studio Code
Wing
Xcode
Claim MatConvNet and update features and information
Claim MatConvNet and update features and information
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