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Pixelmator VS OpenCV

Compare Pixelmator 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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Pixelmator logo Pixelmator

Pixelmator is an image-editing application for Mac and iPad.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Pixelmator Landing page
    Landing page //
    2023-10-21
  • OpenCV Landing page
    Landing page //
    2023-07-29

Pixelmator features and specs

  • User-Friendly Interface
    Pixelmator Pro is designed with a clean and easy-to-use interface, making it accessible even for beginners while still being powerful enough for professionals.
  • Integration with macOS
    The software is built exclusively for macOS, allowing seamless integration with other Apple applications and services like iCloud, Photos, and AppleScript.
  • Affordability
    Pixelmator Pro is a one-time purchase, making it more affordable in the long run compared to subscription-based software like Adobe Photoshop.
  • Performance Optimization
    It takes advantage of the latest macOS technologies such as Metal, Core Image, and OpenGL, ensuring smoother performance and faster processing times.
  • AI-Powered Tools
    Pixelmator Pro includes a variety of AI-driven tools like ML Super Resolution, which enhances image quality using machine learning algorithms.

Possible disadvantages of Pixelmator

  • macOS Exclusivity
    Pixelmator Pro is only available for macOS, which limits its accessibility to users who are on Windows or other operating systems.
  • Learning Curve
    Despite its user-friendly interface, the software has a variety of advanced features that can require a learning curve to fully understand and utilize.
  • Limited Third-Party Integration
    Compared to industry-standard software like Adobe Photoshop, Pixelmator Pro has fewer integrations with third-party plugins and services.
  • No Vector Drawing Tools
    The software lacks comprehensive vector drawing tools, which can be a drawback for users who need robust vector graphic capabilities.
  • Feature Gaps
    While Pixelmator Pro covers a wide range of functionalities, it still lacks some advanced features and functionalities offered by competitors such as Adobe Photoshop.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Pixelmator videos

+ Add

Pixelmator Photo 2019 for iPad - Full Guide & Review!

More videos:

  • Review - Pixelmator Photo Review
  • Review - Pixelmator Pro Review

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Pixelmator and OpenCV)

Pixelmator

OpenCV

Image Editing
100 100%
Image Editing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Graphic Design Software
100 100%
Graphic Design Software
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

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

Pixelmator Reviews

10 Best Photopea Software Alternatives in 2024 (Free & Paid)
Pixelmator Pro is one of the best Photopea alternatives for macOS that lets businesses change, improve, and tailor pictures using tools, colors, and workspaces. It comes with pre-made shapes like circles, speech bubbles, lines, and stars that designers can use to finish their work. It supports non-destructive editing, meaning you can make changes without altering the...
Source: www.geeksforgeeks.org
Best Photo Editing Software for Mac: 5 Pro Alternatives to Adobe
Leveraging Apple Tech: Pixelmator Pro is built from the ground up for macOS. It deeply integrates with core technologies like Metal (for graphics acceleration), Core ML (for machine learning), improving performance and responsiveness.
Source: www.strivingspace.com
Affinity Alternative
Pixelmator Pro, like Photolemur, boasts machine learning to make photo editing quick and easy. In addition, it contains many advanced editing tools as well as a fresh workflow that’s bound to attract many users.
Source: skylum.com
We tested 4 photo editing alternatives to Photoshop
Next up was Pixelmator, a slick OSX app with a pleasingly unslick $29.99 price point. To test Pixelmator we gave Max a copy of the Stone Roses’ eponymously titled 1989 album ‘The Stone Roses‘. With it’s distinctive cover art by Roses’ guitarist John Squire, ‘The Stone Roses’ should pose a worthy challenge to Pixelmator.
Source: diginate.com
12 Best Free Photoshop Alternatives You Should Try
Pixelmator is a macOS only photo editing tool that brings with it a ton of Photoshop like features and tools, and it also supports some of the latest features that Apple has brought to macOS such as editing and exporting images stored in the High Efficiency Image File format. There are the usual features like support for layers and blending modes, a plethora of tools to use...
Source: beebom.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 60 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.

Pixelmator mentions (0)

We have not tracked any mentions of Pixelmator yet. Tracking of Pixelmator recommendations started around Mar 2021.

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 10 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 23 days ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
View more

What are some alternatives?

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

Adobe Photoshop - Adobe Photoshop is a webtop application for editing images and photos online.

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

GIMP - GIMP is a multiplatform photo manipulation tool.

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

Affinity Photo - Affinity is the imaging and design suite for creative professionals exclusively for Mac.

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

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