Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • JOpt.TourOptimizer Reviews & Ratings
    8 Ratings
    Company Website
  • Files.com Reviews & Ratings
    239 Ratings
    Company Website
  • Paccurate Reviews & Ratings
    11 Ratings
    Company Website
  • JDisc Discovery Reviews & Ratings
    26 Ratings
    Company Website
  • DriveStrike Reviews & Ratings
    23 Ratings
    Company Website
  • ActCAD Software Reviews & Ratings
    399 Ratings
    Company Website
  • Azore CFD Reviews & Ratings
    14 Ratings
    Company Website
  • Admiral Reviews & Ratings
    34 Ratings
    Company Website
  • Thinfinity Workspace Reviews & Ratings
    14 Ratings
    Company Website
  • RAD PDF Reviews & Ratings
    3 Ratings
    Company Website

What is luminoth?

Luminoth is an open-source framework aimed at advancing computer vision projects, primarily concentrating on object detection while also planning to broaden its feature set in the future. Being in the alpha phase, users should keep in mind that both the internal and external interfaces, such as the command line, may experience modifications as the development continues. For those looking to leverage GPU capabilities, it is advisable to install the GPU version of TensorFlow by running pip install tensorflow-gpu; on the other hand, users can choose the CPU version with the command pip install tensorflow. Moreover, Luminoth simplifies the TensorFlow installation process, allowing users to choose either pip install luminoth[tf] for the standard version or pip install luminoth[tf-gpu] if they prefer the GPU version. Furthermore, Luminoth has the potential to greatly enhance various computer vision applications, making it a noteworthy addition to the field.

What is MPI for Python (mpi4py)?

In recent times, high-performance computing has become increasingly available to a larger pool of researchers in the scientific field than it ever has been before. The effective synergy of high-quality open-source software and reasonably priced hardware has played a crucial role in the widespread utilization of Beowulf class clusters and workstation clusters. Among the various approaches to parallel computation, message-passing has stood out as a notably efficient model. This approach is particularly advantageous for distributed memory systems and is heavily relied upon in today’s most challenging scientific and engineering tasks related to modeling, simulation, design, and signal processing. However, the environment for portable message-passing parallel programming used to be complicated, as developers had to navigate a multitude of incompatible choices. Fortunately, this scenario has vastly improved since the MPI Forum established its standard specification, which has simplified the development process considerably. Consequently, researchers are now able to dedicate more of their efforts to advancing their scientific research instead of dealing with the intricacies of programming. This shift not only enhances productivity but also fosters innovation across various disciplines.

Media

Media

Integrations Supported

Python
C
C++
Fortran
GitHub
Google Cloud AutoML
Google Cloud Platform
NumPy
TensorFlow

Integrations Supported

Python
C
C++
Fortran
GitHub
Google Cloud AutoML
Google Cloud Platform
NumPy
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

luminoth

Company Website

pypi.org/project/luminoth/

Company Facts

Organization Name

MPI for Python

Company Website

mpi4py.readthedocs.io/en/stable/

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

yarl Reviews & Ratings

yarl

Python Software Foundation