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-0.47.1.tar.gz (2.8 MB view details)

Uploaded Source

File details

Details for the file mazalib-0.47.1.tar.gz.

File metadata

  • Download URL: mazalib-0.47.1.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-0.47.1.tar.gz
Algorithm Hash digest
SHA256 687c74dfd60cab4266201ad22ee246b178200f3ab3d129043f68fcdfcd2ac5ad
MD5 d3d629c677856c48104a5fbf0650d2e9
BLAKE2b-256 99f7f5d3ace66e4c04907bb18071ef214e861dae3f6da31db56857c4526d3a18

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