Showing 3 open source projects for "parallel image segmentation"

View related business solutions
  • Veeam Data Platform v13.1 Icon
    Veeam Data Platform v13.1

    Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

    Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
    Try Now
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • 1
    TCM's bin2img converter

    TCM's bin2img converter

    a powerful tool for sharing non-image files on image hosting sites

    ATTENTION: MOVED TO GITHUB BECAUSE SOURCEFORGE SUCKS! https://github.com/thecodemonkey86/bin2img/releases bin2img converter is a powerful tool for sharing non-image files on image hosting sites. It converts files into the PNG image format and is able to directly upload to an image hosting site. You can split files to circumvent file size limits, with a nice side effect: parallel, faster downloads. Using image hosting sites for sharing files has advantages over conventional One-click hosting services: No download queue and full speed. 1-click downloads are possible by using a special URL protocol: b2i:// The tool creates real, valid PNG files and encodes the files into pixel colors based on the byte values instead of breaking file format specs
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    An open source image segmentation tool which uses the graphcut algorithm. More will follow...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;)
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next