Go Image Processing Libraries

View 33 business solutions

Browse free open source Go Image Processing Libraries and projects below. Use the toggles on the left to filter open source Go Image Processing Libraries by OS, license, language, programming language, and project status.

  • Create stunning, professional email signatures in minutes Icon
    Create stunning, professional email signatures in minutes

    For companies looking to create, assign and manage all their employees email signatures and add targeted marketing banners.

    Create, assign and manage all your employees’ email signatures and add targeted marketing banners. Stop getting worked up about your signatures! Leverage a centralized interface to easily create and manage the email signatures of all your employees. Take advantage of each email to broadcast and amplify your brand. Letsignit helps you regain control over your digital identity. Harmonize 100% of your employee’s email signatures in just a few clicks! 121 professional emails are received and 40 are sent every day by an employee. With Letsignit, turn every email into a powerful communication opportunity: send the right message to the right person at the right time! Innovative more than tech, inspiring more than following. Authentic more than overrated, close more than "think big", trustworthy more than doubtful. Hands-on more than complex, available but yet premium, fun but yet expert.
    Learn More
  • The All-In-One Google Workspace Management Tool for IT Admins Icon
    The All-In-One Google Workspace Management Tool for IT Admins

    Our advanced administration makes adding, deleting, suspending, and de-provisioning users simple and quick.

    gPanel by Promevo streamlines administration, security, and user management, giving organizations full control over their Google Workspace.
    Learn More
  • 1
    bild

    bild

    Image processing algorithms in pure Go

    A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. Package parallel provides helper functions for the dispatching of parallel jobs.
    Downloads: 2 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB