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OpenCV VS IntelliJ IDEA

Compare OpenCV VS IntelliJ IDEA and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

IntelliJ IDEA logo IntelliJ IDEA

Capable and Ergonomic IDE for JVM
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • IntelliJ IDEA Landing page
    Landing page //
    2023-07-20

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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.

IntelliJ IDEA features and specs

  • Intelligent Code Completion
    IntelliJ IDEA offers advanced code completion features, which help to speed up coding by suggesting relevant keywords, variable names, and methods. It understands the context of the code, making suggestions more accurate and useful.
  • Powerful Refactoring
    IntelliJ IDEA provides an extensive set of refactoring tools that simplify code restructuring. Developers can easily rename, move, and change the signature of classes and methods without breaking the application.
  • Integrated Version Control
    Supports various version control systems such as Git, SVN, and Mercurial. This integration allows seamless code commits, merges, and history tracking directly within the IDE.
  • Rich Plugin Ecosystem
    Offers a vast library of plugins to extend its functionalities by adding support for additional languages, frameworks, and tools, making it highly customizable.
  • Built-in Terminal
    Includes a powerful built-in terminal that allows for command-line operations without leaving the IDE, improving workflow efficiency.
  • Cross-Platform Support
    IntelliJ IDEA is available for Windows, macOS, and Linux, providing consistency for developers who work across different operating systems.
  • Comprehensive Debugging
    Features advanced debugging tools that provide detailed inspection of variable states, stack traces, and execution flow, making it easier to identify and fix issues.
  • User-Friendly Interface
    Offers a highly intuitive and customizable user interface that simplifies navigation and enhances productivity.

Possible disadvantages of IntelliJ IDEA

  • Resource Intensive
    IntelliJ IDEA can be very demanding on system resources, such as RAM and CPU, which may affect performance on less powerful machines.
  • Steep Learning Curve
    New users may find it challenging to learn all of its features and settings, as the IDE offers a wide range of tools and options.
  • Cost
    While there is a free Community edition, the Ultimate edition with full features requires a paid license, which can be expensive for individual developers or small teams.
  • Occasional Sluggishness
    Users may experience occasional sluggish performance, especially with large projects or extensive usage of plugins.
  • Initial Setup Complexity
    Setting up IntelliJ IDEA for the first time, particularly for specific project configurations, can be time-consuming and complex.
  • Frequent Updates
    While regular updates are beneficial for security and new features, they can sometimes cause interruptions or require downtime to install.
  • Dependency on Plugins
    Some key functionalities may rely heavily on third-party plugins, which can sometimes lag in updates or lack sufficient documentation.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

IntelliJ IDEA videos

Overview of IntelliJ IDEA

More videos:

  • Review - Why I Use IntelliJ IDEA
  • Review - Be More Productive With IntelliJ IDEA by Trisha Gee

Category Popularity

0-100% (relative to OpenCV and IntelliJ IDEA)
Data Science And Machine Learning
IDE
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Text Editors
0 0%
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 OpenCV and IntelliJ IDEA

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.
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.

IntelliJ IDEA Reviews

Explore 9 Top Eclipse Alternatives for 2024
Developed by JetBrains, IntelliJ IDEA is a versatile Integrated Development Environment (IDE) initially built for Java and Kotlin, but extends its prowess to incorporate a myriad of other languages through plugins. A unique and user-centric environment favorably touted for its tuneability and keyboard shortcuts that enhance productivity, IntelliJ IDEA has grown to compete...
Source: aircada.com
Top 10 Android Studio Alternatives For App Development
IntelliJ IDEA is an IDE that was developed by JetBrains and is written in Java, Groovy, and Kotlin. It helps in building the IntelliJ IDEA community from the source code and also produces high-quality code.
The Best IDEs for Java Development: A Comparative Analysis
Intelligent Coding Assistance: What sets IntelliJ IDEA apart is its intelligent coding assistance. It seems to understand your code, predict your needs, and assist you with a range of development tasks from start to finish. By virtually mapping your Java projects, it can detect errors, suggest code variants, conduct refactoring, and more. It’s like having a coding assistant!
Source: dev.to
20 Best Diff Tools to Compare File Contents on Linux
Intellij Idea is an enterprise development, cross-platform software for multiple operating systems. It is used to review the differences between any two files, folders, text sources, or database objects, as well as between local files and their repository versions.
Source: linuxopsys.com
9 Of The Best Android Studio Alternatives To Try Out
IntelliJ IDEA, the routine tasks like coding, are handled by IntelliJ IDEA, which leads to accelerated development. It also allows the programmer to focus on functionality.

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 59 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.

OpenCV mentions (59)

  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 9 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 / 4 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 / 7 months ago
  • Built in Days, Acquired for $20K: The NuloApp Story
    First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 8 months ago
View more

IntelliJ IDEA mentions (0)

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

What are some alternatives?

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

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

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

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

VS Code - Build and debug modern web and cloud applications, by Microsoft

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

Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.