Software Alternatives & Reviews
Register | Login
p

pgmagick VS SimpleCV

Compare pgmagick VS SimpleCV 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
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

pgmagick logo pgmagick

Yet Another Python wrapper for GraphicsMagick

SimpleCV logo SimpleCV

SimpleCV is an open source framework for building computer vision applications.
  • pgmagick Landing page
    Landing page //
    2023-03-11
  • SimpleCV Landing page
    Landing page //
    2019-02-08

pgmagick videos

No pgmagick videos yet. You could help us improve this page by suggesting one.

+ Add video

SimpleCV videos

+ Add

installation of simplecv

Category Popularity

0-100% (relative to pgmagick and SimpleCV)

pgmagick

SimpleCV

Python Tools
100 100%
Python Tools
0% 0
Data Science And Machine Learning
36 36%
Data Science And Machine Learning
64% 64
OCR
0 0%
OCR
100% 100
Software Libraries
100 100%
Software Libraries
0% 0

User comments

Share your experience with using pgmagick and SimpleCV. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare pgmagick and SimpleCV

pgmagick Reviews

Top 8 Image-Processing Python Libraries Used in Machine Learning
Pgmagick is a GraphicsMagick binding for Python that provides utilities to perform on images such as resizing, rotation, sharpening, gradient images, drawing text, etc.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pgmagick is a Python wrapper for GraphicsMagick which is the collection of tools and libraries for the manipulation of images. It supports more than 88 formats of image. Other than image processing work it can also be used in web applications for creating new images.
Source: towardsdatascience.com

SimpleCV Reviews

7 Best Computer Vision Development Libraries in 2024
BoofCV, SimpleCV, CAFFE, Detectron2, and OpenVINO further contribute to the field of computer vision, each catering to specific needs and applications.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
SimpleCV is designed to simplify computer vision tasks by providing an intuitive interface for image analysis and manipulation. It supports features like image filtering, feature detection, and interactive GUI-based tools for experimentation and visualization.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
SimpleCV is an open-source framework for building computer vision applications using Python. It provides several tools and interfaces for developing computer vision applications, such as image processing, camera access, and machine learning algorithms. SimpleCV also includes several pre-built modules for tracking, filtering, and segmentation.
Source: www.uubyte.com
5 Ultimate Python Libraries for Image Processing
SimpleCV is a python framework that uses computer vision libraries like OpenCV. This library is quite simple and easy to use and can be really helpful for quick prototyping.
Source: towardsdatascience.com

What are some alternatives?

When comparing pgmagick and SimpleCV, you can also consider the following products

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

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

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

ITK - ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

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

Loading...