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Mahotas VS OpenCV

Compare Mahotas VS OpenCV and see what are their differences

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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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Mahotas logo Mahotas

Mahotas is a computer vision and image processing library for Python.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
Not present
  • OpenCV Landing page
    Landing page //
    2023-07-29

Mahotas videos

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12. Working with Mahotas and Jupyter

More videos:

  • Review - Mocambicano a empinar de bike nas mahotas

OpenCV videos

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AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Mahotas and OpenCV)

Mahotas

OpenCV

Data Science And Machine Learning
5 5%
Data Science And Machine Learning
95% 95
Python Tools
9 9%
Python Tools
91% 91
Data Science Tools
0 0%
Data Science Tools
100% 100
Software Libraries
100 100%
Software Libraries
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 Mahotas and OpenCV

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

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 50 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.

Mahotas mentions (0)

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

OpenCV mentions (50)

  • 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
  • Looking for a Windows auto-clicker with conditions
    You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
  • Looking to recreate a cool AI assistant project with free tools
    - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
  • Looking to recreate a cool AI assistant project with free tools
    I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
  • What are the limits of blueprints?
    You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago
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What are some alternatives?

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

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

pgmagick - Yet Another Python wrapper for GraphicsMagick

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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