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

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

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.

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

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

Review this Software

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

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

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

Integrations

Anon
Better Stack
CodeArts
Codecov
Cosine Genie
DevCycle
FPDF
Google Cloud Artifact Registry
Interval
Lightly
MergeBase
PromptGround
QuickChart
Red Hat OpenShift Dev Spaces
Shakker
Synctify
Upsonic
Wherobots
kcov
smallest.ai

Integrations

Anon
Better Stack
CodeArts
Codecov
Cosine Genie
DevCycle
FPDF
Google Cloud Artifact Registry
Interval
Lightly
MergeBase
PromptGround
QuickChart
Red Hat OpenShift Dev Spaces
Shakker
Synctify
Upsonic
Wherobots
kcov
smallest.ai

Integrations

Anon
Better Stack
CodeArts
Codecov
Cosine Genie
DevCycle
FPDF
Google Cloud Artifact Registry
Interval
Lightly
MergeBase
PromptGround
QuickChart
Red Hat OpenShift Dev Spaces
Shakker
Synctify
Upsonic
Wherobots
kcov
smallest.ai
Claim MatConvNet and update features and information
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