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OpenCV VS ExplainDev

Compare OpenCV VS ExplainDev and see what are their differences

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  3. » Reviews
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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

ExplainDev logo ExplainDev

Meet the AI-powered browser extension that explains code using plain language.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • ExplainDev Landing page
    Landing page //
    2023-05-09

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

ExplainDev features and specs

  • Improved Code Understanding
    ExplainDev provides detailed explanations of code snippets, helping users understand how a specific piece of code works.
  • Facilitates Learning
    The tool is beneficial for new developers and students as it can accelerate the learning process by breaking down complex code into simpler terms.
  • Increased Productivity
    By offering quick insights into code, ExplainDev can save time for developers who need to work with unfamiliar codebases.
  • Integration with Development Tools
    ExplainDev can integrate with popular development environments, allowing users to access its features without leaving their coding platforms.

Possible disadvantages of ExplainDev

  • Dependency on Service
    Relying on ExplainDev for code understanding can lead to over-dependence, potentially hindering the development of independent problem-solving skills.
  • Accuracy Limitations
    The explanations provided may not always be accurate or fully comprehensive, especially for complex or niche code snippets.
  • Data Privacy Concerns
    Using an online tool to analyze code might raise concerns about the privacy and security of the code being processed.
  • Limited Programming Language Support
    The tool may not support all programming languages or frameworks, limiting its usefulness for developers working outside of its supported technologies.

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

ExplainDev videos

No ExplainDev videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to OpenCV and ExplainDev)

OpenCV

ExplainDev

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
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Productivity
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Productivity
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 ExplainDev

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

ExplainDev Reviews

We have no reviews of ExplainDev yet.
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Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than ExplainDev. While we know about 60 links to OpenCV, we've tracked only 4 mentions of ExplainDev. 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 / 3 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 17 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

ExplainDev mentions (4)

  • Buildling ReReview AI - chatbot to help find the best AI tools for any task or team (with GPT-4)
    Thanks for the note. Generally best to just describe the task (need to improve the system prompt to always only return tools). Here's the response I got: https://imgur.com/a/NyHBCe2 (https://programming-helper.com/ , https://explain.dev/ , https://tldrdev.ai/ , https://code-mentor.ai/) In addition to the categorization and summary (driven by GPT-4), it takes into account performance metrics of the tool (visits,... Source: about 2 years ago
  • Why don't there seem to be any courses based around the idea of maintaining and extending legacy software?
    Agree with so many of the comments here. I believe the way to equip folks to be productive with legacy code is build tools that replicate the goodness of an experienced engineer while on the job. Supplement the help available and ensure the person onboarding is benefitting from the questions that were asked by new folks before them. I started building the tool here: explain.dev While courses could help you feel... Source: over 2 years ago
  • Make image tutorials in no time with code explanations from AI.
    The technology behind the images is ExplainDev, an AI powered programmer's assistant. You can think of it as an expert that's always available to answer your technical questions and explain code. - Source: dev.to / over 2 years ago
  • Explanation of a queue data structure in JavaScript
    I used explain.dev for code explanations and snappify.io for the visuals :). Source: almost 3 years ago

What are some alternatives?

When comparing OpenCV and ExplainDev, 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.

EssenceAI - Simplify Code Understanding using the power of GPT-4

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

Easyvoice - Make stunning voice apps with no-code development platform

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

AI Code Mentor - Virtual Instructor that utilizes AI to help you learn code

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