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OpenCV VS Solid Explorer

Compare OpenCV VS Solid Explorer and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Solid Explorer logo Solid Explorer

Solid Explorer is a powerful Android file manager featuring access to most popular cloud storages, root access and easy extensibility.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Solid Explorer Landing page
    Landing page //
    2021-09-25

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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

Solid Explorer features and specs

  • User Interface
    Solid Explorer has a clean and visually appealing user interface that supports both light and dark themes, making it pleasant to use.
  • Dual-pane mode
    The app supports a dual-pane mode, which allows you to manage files in two different locations simultaneously, enhancing productivity.
  • Cloud Storage Integration
    Solid Explorer supports a wide range of cloud storage services like Google Drive, Dropbox, OneDrive, and more, allowing for seamless file management across different platforms.
  • File Encryption
    The app includes features for encrypting and decrypting files, providing an extra layer of security for sensitive information.
  • Customization Options
    Solid Explorer offers extensive customization options, allowing users to change themes, icon sets, and layout to fit their preference.
  • Root Access
    It supports root access for rooted devices, enabling advanced file management tasks such as modifying system files.

Possible disadvantages of Solid Explorer

  • Payment Required
    Solid Explorer offers a 14-day trial period, after which a one-time payment is required to continue using the app, which might deter some users.
  • Occasional Bugs
    Some users have reported occasional bugs and crashes, which can disrupt the file management experience.
  • Storage Permissions
    The app requires extensive storage permissions, which some users might find concerning from a privacy standpoint.
  • Resource Intensive
    Solid Explorer can be resource-intensive, consuming more battery and memory compared to some of its competitors.
  • Limited Free Features
    While the app is feature-rich, the free version has limited functionalities, which could be a downside for users not willing to pay.

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 Solid Explorer

Overall verdict

  • Solid Explorer is generally considered a good file management app, appreciated for its comprehensive functionality and ease of use. It is well-regarded for providing solid performance and reliability.

Why this product is good

  • Solid Explorer is popular for its clean and intuitive user interface, robust file management features, and strong support for cloud storage integration. It offers dual-pane navigation, file encryption, and extensive customization options, making it versatile for various file management needs.

Recommended for

  • Users looking for a feature-rich file manager with cloud integration
  • Those who appreciate customizable interfaces
  • Users who need efficient file management on Android devices
  • Individuals looking for secure file encryption options

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Solid Explorer videos

+ Add

Es File Explorer Vs Solid Explorer

More videos:

  • Review - 8 Cool Things You Can do with Solid Explorer - Best ES File Explorer Alternative
  • Review - best paid android apps 2016 - Solid explorer file manager (Review, Pros, Cons, Does It Worth It)

Category Popularity

0-100% (relative to OpenCV and Solid Explorer)

OpenCV

Solid Explorer

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
File Manager
0 0%
File Manager
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
File Explorer
0 0%
File Explorer
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 Solid Explorer

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

Solid Explorer Reviews

The best third-party file managers for Android
Keep it simple with Simple File Manager Pro. Like Solid Explorer, the app is designed within the Material Design schematic, including using one floating action button to add a new file or folder. Simple File Manager Pro only works with localized files, however, and though it doesn't offer access to exterior cloud accounts, you can navigate root files, SD cards, and USB files...
Source: www.androidpolice.com

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than Solid Explorer. While we know about 62 links to OpenCV, we've tracked only 1 mention of Solid Explorer. 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 (62)

  • Computer vision for code: What PVS-Studio saw in OpenCV
    OpenCV is the world's largest open-source computer vision library, supported by the non-profit organization, Open Source Computer Vision Foundation. It offers a wide range of algorithms that cover a variety of tasks, from basic image processing to advanced object recognition and motion analysis. - Source: dev.to / 7 months ago
  • What is the Most Effective AI Tool for App Development Today?
    Google's Gemini and other multimodal models also fit here, especially for mixed-input apps. James Allsopp, Founder of Ask Zyro, suggests, "For anything involving images or mixed inputs, tools like Claude 3 Opus (great for handling long context) or Google's Gemini can work well, depending on what you need for your user interface." These frameworks excel in scenarios requiring visual understanding, such as augmented... - Source: dev.to / 11 months ago
  • 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 isnโ€™t just a tool, itโ€™s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that donโ€™t just interpret visuals, but... - Source: dev.to / about 1 year ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 year 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 / over 1 year ago
View more

Solid Explorer mentions (1)

What are some alternatives?

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

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

MiXplorer - MiXplorer is a mobile app that was designed to make it easy to organize and manage the files on your Android device.

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

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

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

Amaze File Manager - Free and open-source Android file manager with no ads.

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