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OpenELEC VS OpenCV

Compare OpenELEC VS OpenCV and see what are their differences

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OpenELEC logo OpenELEC

OpenELEC, which stands for Open Embedded Linux Entertainment Center, is a Linux operating system that makes the host computer a Kodi media center. The software was the winner of the Swiss Opensource Award in 2014.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • OpenELEC Landing page
    Landing page //
    2019-01-29
  • OpenCV Landing page
    Landing page //
    2023-07-29

OpenELEC features and specs

  • Lightweight
    OpenELEC is a lightweight operating system that is designed to run Kodi on minimal hardware, making it ideal for older devices.
  • Ease of Use
    OpenELEC provides a simple user interface and straightforward installation process, which is appealing to users looking for an out-of-the-box media center solution.
  • Dedicated Media Center OS
    Being dedicated solely to running Kodi, OpenELEC offers optimized performance and a streamlined system for media playback.
  • Cost-Effective
    OpenELEC is open-source and free to use, which is beneficial for users looking for a cost-effective media center setup.
  • Strong Community Support
    OpenELEC has a robust community of users and developers who provide support, share knowledge, and contribute to its development.

Possible disadvantages of OpenELEC

  • Limited Functionality
    As a minimalistic operating system, OpenELEC may not support additional services or applications beyond its primary function as a media center.
  • Hardware Compatibility
    OpenELEC may have limited compatibility with certain hardware components or peripherals, which could require users to ensure compatibility beforehand.
  • Less Frequent Updates
    Compared to some other media center solutions or operating systems, OpenELEC may receive updates less frequently, potentially affecting access to new features or security patches.
  • Limited Customization
    Due to its focus on simplicity and ease of use, OpenELEC offers fewer customization options compared to other more flexible operating systems.
  • Potential Stability Issues
    Some users have reported stability issues, particularly when using newer versions or hardware, which may impact overall user experience.

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

OpenELEC videos

+ Add

My HTPC Is Now Running OpenELEC

More videos:

  • Review - OpenELEC Installation Guide 2019

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to OpenELEC and OpenCV)

OpenELEC

OpenCV

Video
100 100%
Video
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Media Player
100 100%
Media Player
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 OpenELEC and OpenCV

OpenELEC 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.
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 a lot more popular than OpenELEC. While we know about 60 links to OpenCV, we've tracked only 2 mentions of OpenELEC. 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.

OpenELEC mentions (2)

  • Does Kodi support HDR passthrough using an x86 processor or an nvidia/AMD dGPU on Linux now?
    Its all good. I use to run Kodi on a HTPC that I built with openelec and it was pretty stable. I am not sure if it is available anymore (openelec.tv) it was a linux distro. I switched to NVidia shield due to the accessibility to Netflix and Amazon and I have not looked back. Oh an its cheaper than a HTPC I think... Source: over 3 years ago
  • Got Jellyfin a few days ago and LOVE the web version, but bad Roku app is a dealbreaker. Before I can it, are there any work arounds you guys have found?
    I know there are various customized distros for the RasPi, such as OpenElec, but as a staunch Linux and FLOSS advocate I still don't think that's what most people are searching for when they look for a streaming device these days. Source: about 4 years ago

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 OpenELEC and OpenCV, you can also consider the following products

LibreELEC - LibreELEC is ‘Just enough OS’ for Kodi, a Linux distribution built to run Kodi on current and...

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

GeeXboX - Dec 3, 2017 - . Author: Tomtom 1 Comment. Hi,.

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

Kodi - Kodi is an award winning free and open source media player that got its start on the Xbox console.

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

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