Skip to main content

Cross-platform 2d/3d image segmentation C++ library

Project description

# MAZAlib

Cross-platform 2d/3d image segmentation C++ library

Compliles with: MSVC 14.0 and later, GCC 11.4. Other GCC: not tested yet. Compatible with C++17

Authors: Roman V. Vasilyev, Timofey Sizonenko, Kirill M. Gerke, Marina V. Karsanina, Andrey A. Ananev Moscow, 2017-2023

## Prerequisites

1. Install CMake 3.13 or later. (Or you may lower version requirements by hand to your actual version in all CMakeFiles.txt and hopefully it would work, just not tested yet). Linux (Ubuntu): sudo apt-get install cmake Windows: https://cmake.org/download/, add cmake into PATH system variable during installation 2. Install a modern C++ compiler. Linux (Ubuntu): sudo apt-get install g++ Windows: Visual Studio 2015 or later with C++ tools installed 3. Install numpy to your python enviroment

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mazalib-0.43.tar.gz (2.8 MB view details)

Uploaded Source

File details

Details for the file mazalib-0.43.tar.gz.

File metadata

  • Download URL: mazalib-0.43.tar.gz
  • Upload date:
  • Size: 2.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for mazalib-0.43.tar.gz
Algorithm Hash digest
SHA256 ea3a4edb7122dbf2d88ceb04d6d13be2a2f4092bdb744f2842fd1bb806a24f77
MD5 b83207e61ba703ae046750010a64e2a0
BLAKE2b-256 e570ca07516db338aae73c8927fd6134bcf91f66fb0780ac902de7599a63b3c1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page