Software Alternatives, Accelerators & Startups

Windows95 VS OpenCV

Compare Windows95 VS OpenCV and see what are their differences

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Windows95 logo Windows95

Windows 95 in Electron. Runs on macOS, Linux, and Windows.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Windows95 Landing page
    Landing page //
    2023-09-12
  • OpenCV Landing page
    Landing page //
    2023-07-29

Windows95 features and specs

  • Nostalgia
    Running Windows 95 through this project allows users to relive the experience and look of a classic operating system, providing a sentimental journey for those who used it in the past.
  • Accessibility
    Being available as an Electron app, it can run on modern operating systems like Windows, macOS, and Linux without the need for a virtual machine or additional emulation software.
  • Open Source
    The project is open-source, allowing users and developers to explore, modify, and contribute to the codebase, fostering a collaborative environment.

Possible disadvantages of Windows95

  • Limited Functionality
    While it faithfully emulates Windows 95, it does not provide the full functionality of the original OS or compatibility with all the software from that era.
  • Performance
    Being an emulated environment within an Electron app, it may not run as efficiently or smoothly as a native or dedicated emulator instance.
  • Security Risks
    Running outdated software can pose security risks, as the original Windows 95 lacks modern security features and updates. Users should be cautious when interacting with files or networks.

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.

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

Windows95 videos

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OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

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Web App
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Data Science And Machine Learning
Tech
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Data Science Tools
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Windows95 and OpenCV

Windows95 Reviews

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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.

Social recommendations and mentions

Based on our record, OpenCV should be more popular than Windows95. 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.

Windows95 mentions (6)

  • Can a Windows 7 Computer Run Windows 95?
    Windows 95 can be run inside of an app. Source: almost 2 years ago
  • How do I make sure a software is properly uninstalled?
    I use a program called Revo Uninstaller found here. There is a paid and free version, I use the free version and it works fine. When you select a program to uninstall through Revo, it will launch the program's uninstaller first, then it will find leftover files/registry data and give you the choice to delete them. Make sure you look at what it wants to delete, one time I installed a self-contained Windows 95... Source: over 2 years ago
  • Swinging Back to Open Standards
    If the problem to solve is piping an emacs buffer to a Windows 95 text mode binary and replace the buffer with the text output, the solution could be 1. Run Windows 95 in an emulator, maybe a webassembly one. 2. Generate the mouse clicks and keyboard events to run that program, probably in a full screen DOS window. It must be in the %PATH% 3. In the same way type in the buffer in the input of the program. 4. OCR... - Source: Hacker News / over 2 years ago
  • Linux 98
    You get bonus points if you have this installed. Source: almost 4 years ago
  • lag in old game when clicking, but no lag with animation?
    If it's a game developed for Windows 95, you might be able to run it in a Windows 95 Emulator. Source: about 4 years ago
View more

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

What are some alternatives?

When comparing Windows95 and OpenCV, you can also consider the following products

Windows 96 - Windows 96 is a recreation of Windows 98 in the browser.

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

Virtual Windows 98 - Use Windows 98 in your browser

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

98.css - A design system for building faithful recreations of old UIs

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