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-0.46.tar.gz (2.8 MB view details)

Uploaded Source

File details

Details for the file mazalib-0.46.tar.gz.

File metadata

  • Download URL: mazalib-0.46.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-0.46.tar.gz
Algorithm Hash digest
SHA256 7254c1611deeb2f0cc8084a2ba085c83f78ee5ae980fd956e682cc990374b210
MD5 80e7208cf5a05aa5faa8bcaee190e1d1
BLAKE2b-256 a657ed7f75a8d9c0d1f8c8b78d03abd9e31b5b8249bf3d9e442e965518842bea

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