{"id":26506,"date":"2022-05-10T21:36:37","date_gmt":"2022-05-10T16:06:37","guid":{"rendered":"https:\/\/python-programs.com\/?p=26506"},"modified":"2022-05-10T21:36:37","modified_gmt":"2022-05-10T16:06:37","slug":"how-to-install-mahotas-library-in-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/how-to-install-mahotas-library-in-python\/","title":{"rendered":"How to Install Mahotas Library in Python?"},"content":{"rendered":"
Mahotas is a Python library for computer vision, image processing, and manipulation. A library is a set of functions and methods that allow you to do a variety of tasks without writing hundreds of lines of code. Mahotas incorporates several array-based algorithms. Mahotas now has over 100 functions for image processing and computer vision and is constantly expanding.<\/p>\n
Mahotas is a good tool for discovering patterns in images. For example, the “Where’s Wally Problem” can be simply performed with Mahotas.<\/p>\n
It also contains plenty of algorithms for working with numpy arrays. Thresholding, Convolution, Watershed, Spline interpolation, and so on are examples.<\/p>\n
The Python’s pip package manager can be used to install the Mahotas library on both Windows and Linux platforms.<\/p>\n
Open the command prompt and type the below command for the installation of the Mahotas library<\/p>\n
pip install mahotas<\/pre>\nOutput:<\/strong><\/p>\n
Collecting mahotas\r\nDownloading mahotas-1.4.12-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (5.7 MB)\r\n|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 5.7 MB 3.9 MB\/s \r\nRequirement already satisfied: numpy in \/usr\/local\/lib\/python3.7\/dist-packages\r\n(from mahotas) (1.21.5)\r\nInstalling collected packages: mahotas\r\nSuccessfully installed mahotas-1.4.12<\/pre>\nAnother Way to Install Mahotas Library in Windows<\/h3>\n
We can install the mahotas package using the pip<\/strong> package manager; however, if the above technique fails to install the package, we may still install the package manually from the official website on Windows.<\/p>\n
Steps to be followed:<\/strong><\/p>\n