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OpenCV VS Midnight Commander

Compare OpenCV VS Midnight Commander and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Midnight Commander logo Midnight Commander

GNU Midnight Commander is a visual file manager, licensed under GNU General Public License and...
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Midnight Commander Landing page
    Landing page //
    2018-09-29

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

Midnight Commander features and specs

  • User-Friendly Interface
    Midnight Commander provides a text-based user interface that is relatively easy to navigate, unlike traditional command-line interfaces, which can be intimidating for new users.
  • Two-pane File Manager
    The dual-pane layout allows users to perform file operations such as moving and copying files between two locations effortlessly.
  • Built-in Editor
    Midnight Commander includes a built-in text editor (mcedit) that can be handy for quickly editing configuration files or scripts.
  • Connectivity Options
    It supports various network protocols like FTP, SFTP, and Samba, enabling users to manage files on remote systems as easily as on local drives.
  • Customizability
    Users can customize key bindings, color schemes, and panels to better suit their needs and workflow preferences.
  • Cross-Platform
    Midnight Commander is available on multiple operating systems, including Linux, macOS, and Windows, offering a consistent experience across platforms.
  • Search Capabilities
    Advanced search options make it easy to find files and text within files, which is useful for a variety of tasks, from coding to administration.

Possible disadvantages of Midnight Commander

  • Limited GUI Features
    Being a text-based application, it lacks some of the graphical features and mouse interactions available in graphical file managers.
  • Learning Curve
    While more user-friendly than the command line, it still requires some time to learn and get accustomed to the various key bindings and functionalities.
  • Dependency on Terminal
    As a terminal-based application, it requires a terminal emulator, which might not be as efficient or convenient as using a native graphical application for some users.
  • Limited Advanced Features
    For complex file management tasks, it may not offer the advanced features or plugins available in more robust file managers.
  • No Built-in Preview
    Unlike some graphical file managers, it doesn't provide a built-in preview of files (like images or PDFs), which can be a drawback for certain use cases.
  • Dependency on Configuration Files
    Customization often necessitates editing configuration files manually, which could be a deterrent for users who are not comfortable with text-based configurations.

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

Analysis of Midnight Commander

Overall verdict

  • Yes, Midnight Commander is considered a good tool by many users, especially those who frequently work in command-line environments. Its efficiency and robustness make it a favorite among system administrators and developers.

Why this product is good

  • Midnight Commander is a popular and powerful file manager for Unix-like systems. It features a text user interface, making it suitable for command-line environments. It provides all essential file management functionalities, including copying, moving, renaming, and even supports accessing and browsing through FTP or SSH, making it versatile for various tasks.

Recommended for

    Midnight Commander is highly recommended for users who are comfortable working in command-line environments. It is particularly suitable for system administrators, developers, and power users who need a reliable and efficient file management tool with advanced features like remote file system browsing.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Midnight Commander videos

EzeeLinux Show 18.15 | GNU Midnight Commander

More videos:

  • Review - 16 - Midnight Commander, Part 1 of 3
  • Review - Midnight Commander || Installation and short review || Ubuntu || Fedora

Category Popularity

0-100% (relative to OpenCV and Midnight Commander)
Data Science And Machine Learning
File Manager
0 0%
100% 100
Data Science Tools
100 100%
0% 0
FTP Client
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 Midnight Commander

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.

Midnight Commander Reviews

We have no reviews of Midnight Commander yet.
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Social recommendations and mentions

Based on our record, OpenCV should be more popular than Midnight Commander. 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.

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 / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 2 months 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 / 6 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 / 7 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 / 9 months ago
View more

Midnight Commander mentions (28)

  • Emacs 2024 Changes
    Dired as a cross-platform file manager. I used to use Midnight Commander but I found it buggy in the end (on MacOS). Since investing time in learning dired it's good enough. - Source: dev.to / 6 months ago
  • OpenBSD Desktop
    Midnight Commander is a good TUI file manager. https://midnight-commander.org/. - Source: Hacker News / about 1 year ago
  • Antonmedv/walk: Terminal file manager
    Was there something before https://midnight-commander.org/ or was that the OG? - Source: Hacker News / almost 2 years ago
  • How to move a directory to ../ if there is a directory with same name?
    Just use mc (midnight commander) it not only is a terminal based file manager but it will give you the command lines used to do so GNU MIDNIGHT COMMANDER. Source: about 2 years ago
  • What's that email client doing here?
    Given that you can run shells in Emacs since those are text too, Emacs ends up becoming almost like a Lisp-powered tmux or mc. Source: about 2 years ago
View more

What are some alternatives?

When comparing OpenCV and Midnight Commander, 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.

Double Commander - Double Commander is a cross-platform open source file manager with two panels side by side.

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

Total Commander - A Shareware file manager for Windows® 95/98/ME/NT/2000/XP/Vista/7, and Windows® 3.1.

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

FreeCommander - FreeCommander is an easy-to-use alternative to the standard windows file manager. The program helps you with daily work in Windows. Here you can find all the necessary functions to manage your data stock.