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Scikit Image VS Mahotas

Compare Scikit Image VS Mahotas and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Scikit Image logo Scikit Image

scikit-image is a collection of algorithms for image processing.

Mahotas logo Mahotas

Mahotas is a computer vision and image processing library for Python.
  • Scikit Image Landing page
    Landing page //
    2023-09-13
Not present

Scikit Image videos

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Image analysis in Python with scipy and scikit image 1 | SciPy 2014 | Juan Nunez Iglesias, Tony Yu

Mahotas videos

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12. Working with Mahotas and Jupyter

More videos:

  • Review - Mocambicano a empinar de bike nas mahotas

Category Popularity

0-100% (relative to Scikit Image and Mahotas)

Scikit Image

Mahotas

Data Science And Machine Learning
59 59%
Data Science And Machine Learning
41% 41
Python Tools
33 33%
Python Tools
67% 67
Software Libraries
44 44%
Software Libraries
56% 56
OCR
100 100%
OCR
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit Image and Mahotas

Scikit Image Reviews

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Scikit-Image is an open-source image processing library for the Python programming language. It provides several tools and algorithms for image processing and computer vision applications. Scikit-Image supports several image formats and provides functions for filtering, segmentation, and feature extraction.
Source: www.uubyte.com
Top Python Libraries For Image Processing In 2021
Scikit-Image Scikit-Image is another great open-source image processing library. It is useful in almost any computer vision task. It is among one of the most simple and straightforward libraries. Some parts of this library are written in Cython ( It is a superset of python programming language designed to make python faster as C language). It provides a large number of...
Source: www.analyticsvidhya.com

Mahotas Reviews

10 Python Libraries for Computer Vision
Mahotas is a computer vision library that focuses on speed and efficient memory usage. It includes a variety of features for image processing, such as edge detection, texture analysis, and feature extraction. Mahotas is particularly useful for projects requiring real-time image analysis.
Source: clouddevs.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Mahotas is another image processing and computer vision library that was designed for bioimage informatics. It reads and writes images in NumPy array, and is implemented in C++ with a smooth python interface.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Mahotas is a Python library for image processing and computer vision that was originally designed for bioimage Informatics. But other computer vision tasks can be performed using it as well. It is originally written in C++ which makes it pretty fast and it has no dependencies other than NumPy.
Source: towardsdatascience.com
Top Python Libraries For Image Processing In 2021
Mahotas It is another open-source python library for computer vision and image processing. It was designed for biometric informatics. It provides many algorithms which are written in C++ for speed with a good python interface. It read and writes images in NumPy arrays.
Source: www.analyticsvidhya.com

Social recommendations and mentions

Based on our record, Scikit Image seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scikit Image mentions (7)

  • How to Estimate Depth from a Single Image
    We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / 16 days ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
  • Is it possible to add a noise to an image in python?
    This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 1 year ago
  • A CLI that does simple image processing and also generates cool patterns
    Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 1 year ago
  • Color Matrices for scan correction
    There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
View more

Mahotas mentions (0)

We have not tracked any mentions of Mahotas yet. Tracking of Mahotas recommendations started around Mar 2022.

What are some alternatives?

When comparing Scikit Image and Mahotas, you can also consider the following products

OpenCV - OpenCV is the world's biggest computer vision library

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

Amazon Rekognition - Add Amazon's advanced image analysis to your applications.

pgmagick - Yet Another Python wrapper for GraphicsMagick

SimpleCV - SimpleCV is an open source framework for building computer vision applications.

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