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Description
The VLFeat open source library offers a range of well-known algorithms focused on computer vision, particularly for tasks such as image comprehension and the extraction and matching of local features. Among its various algorithms are Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, the agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, and large scale SVM training, among many others. Developed in C to ensure high performance and broad compatibility, it also has MATLAB interfaces that enhance user accessibility, complemented by thorough documentation. This library is compatible with operating systems including Windows, Mac OS X, and Linux, making it widely usable across different platforms. Additionally, MatConvNet serves as a MATLAB toolbox designed specifically for implementing Convolutional Neural Networks (CNNs) tailored for various computer vision applications. Known for its simplicity and efficiency, MatConvNet is capable of running and training cutting-edge CNNs, with numerous pre-trained models available for tasks such as image classification, segmentation, face detection, and text recognition. The combination of these tools provides a robust framework for researchers and developers in the field of computer vision.
Description
The Slic3r project has seen extensive and ongoing development efforts. Be sure to download version 1.3.0 or explore the latest development builds! This software, created by Alessandro Ranellucci with contributions from an incredible community, is available for free. It enables users to convert their 3D models into G-code easily. Users can visualize toolpaths and manage advanced configurations. Additionally, it allows for custom G-code creation with conditional logic, and supports a print spool queue for simultaneous printing on multiple machines or integration with OctoPrint. Slic3r caters to both FDM/FFF and SLA/DLP printing processes, featuring modifiers that enable distinct settings for customized regions. Most of its functionalities can be accessed through the command line, making it a versatile tool for batch operations and custom integrations. Furthermore, it includes a C++ library that facilitates the development of custom applications utilizing Slic3r's internal algorithms. The software can handle various operations on 3D models, such as opening, repairing, transforming, and converting them. Users can generate G-code in multiple formats, create different infill patterns, send G-code over a serial port, and even estimate the printing time for G-code projects, illustrating its comprehensive capabilities.
API Access
Has API
No
API Access
Has API
No
Integrations
Creality Print
No
PrusaSlicer
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
VLFeat
Country
United States
Website
www.vlfeat.org/matconvnet/
Vendor Details
Company Name
Slic3r
Founded
2011
Website
slic3r.org
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
Yes
Image Segmentation
Yes
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
3D Printing
Analytics
No
Customizable Support Structures
No
ERP
No
Integrates with CAD
No
Mesh Analysis and Repair
No
Model Setup and Plating
No
Multi-User Support and Permissions
No
Multiple/Shared Print Queues
No
Pre-Print Simulations
No
Print File Creation
No
Slicing
No