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Shadow VS OpenCV

Compare Shadow VS OpenCV and see what are their differences

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Shadow logo Shadow

Transform any device into a supercharged gaming machine.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Shadow Landing page
    Landing page //
    2023-10-04
  • OpenCV Landing page
    Landing page //
    2023-07-29

Shadow

Website
shadow.tech
$ Details
-
Release Date
2015 January
Startup details
Country
France
State
Ile-de-France
City
Paris
Founder(s)
Asher Kagan
Employees
100 - 249
Edit details

OpenCV

Website
opencv.org
$ Details
Release Date
-
Edit details

Shadow features and specs

  • High-Performance
    Shadow provides a high-performance virtual computer with dedicated resources, ensuring smooth operation for demanding applications and games.
  • Accessibility
    Users can access their Shadow PC from various devices including Windows, macOS, Android, and iOS, making it versatile and highly accessible.
  • Cost-Effective
    For users who require high-end hardware but cannot afford the upfront cost, Shadow's subscription model provides access to powerful technology for a manageable monthly fee.
  • Security and Updates
    The service includes regular updates and security measures, so users don’t need to worry about maintaining their hardware or software.
  • Storage
    Shadow offers substantial cloud storage, which can be a significant advantage for users needing large amounts of space for their projects and files.

Possible disadvantages of Shadow

  • Internet Dependency
    Shadow requires a stable and fast internet connection to function properly. Poor connectivity can result in lag and reduced performance.
  • Bandwidth Usage
    Streaming a virtual computer can consume a lot of data, which may be an issue for users with limited bandwidth or data caps.
  • Subscription Cost
    Although cost-effective for some, the subscription fee can become expensive over time compared to owning your own hardware outright.
  • Latency
    Despite high performance, users may still experience latency issues, especially in high-speed applications like competitive gaming.
  • Limited Offline Use
    The reliance on cloud means that there is no offline mode, so users can’t access their virtual machine without an internet connection.

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

Shadow videos

+ Add

Shadow - Movie Review

More videos:

  • Review - Shadow Cloud Gaming Review
  • Review - Shadow - Movie Review

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Shadow and OpenCV)

Shadow

OpenCV

Games
100 100%
Games
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Game Streaming
100 100%
Game Streaming
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Shadow and OpenCV. For example, how are they different and which one is better?
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Reviews

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

Shadow Reviews

11 Best Parsec Alternatives & Similar Apps
Still, it can consume your battery. All in all, Shadow is a worth-trying app for those who love games and want to always connect with their games regardless of the location.
Source: www.regendus.com
7 Best Cloud Gaming Services for 2020 (No. 3 is My Favorite)
Although games are a popular use of Shadow, and work well on it, Shadow’s core service is more than just games. While that’s a pro for some, it may be extra weight for people who want to keep things simple.
Source: hostingpill.com
Stream games with these Google Stadia alternatives
The Shadow cloud gaming model is about to be updated, and it will make it quite the formidable foe. For the basic monthly investment of £13, you gain access to a timeshare comprised of an Intel Xeon CPU, an Nvidia GTX 1080 equivalent graphics card, 12GB of DDR4, a 256GB SSD, and an internet connection that’ll make you weep in awe. It’s 1Gbps, so you absolutely don’t need to...
Source: www.pcgamesn.com
15 game streaming services you can try before Google Stadia arrives
You might not have heard of Shadow, but it’s a real cloud game streaming service based in the United States. Like other similar platforms, Shadow works by giving you a virtualized computer with the means to play 3D games. Currently, Shadow is operational in 38 out of the 50 states, with more on the way.
Source: www.theverge.com
The Best Cloud Gaming Services for Streaming Video Games
Shadow: Cloud gaming at a fixed price. Shadow functions as a subscription service, with a price of $35 a month no matter how much time you spend playing. For those of you that play way more than you should, this service may be for you. It’s also similar to Parsec in that it’s essentially a computer in the cloud, so you can run any app you want in it.
Source: www.howtogeek.com

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, Shadow should be more popular than OpenCV. It has been mentiond 320 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.

Shadow mentions (320)

  • 🚀 Get a 5€ Discount on Your ShadowPC Subscription with Code: 80EDA79
    Upgrade your gaming experience with ShadowPC! Use my referral code "80EDA79" at checkout to snag a cool 5€ off your first subscription. Game on! 🚀. Source: over 1 year ago
  • PCVR on Mac?
    I had Shadow. There quite affordable when I registered and the hardware was top line. I was using it as my gaming PC for a long time (mainly for PCVR). I live in Spain and these days there wasn't dedicated servers here so I connected through Paris nodes (and that increased a bit the latency) but I play HL Alyx and a lot of games that way with good graphics (in that moment Shadow has a GTX1080 GPU) and great... Source: almost 2 years ago
  • Journeyperson save on a potato? Or stuck to one large nation/several small ones?
    Https://shadow.tech/ It’s a cloud PC. I used to use it until I got my current laptop. Not cheap but very good. Source: about 2 years ago
  • Apple's game porting toolkit is fantastic. Cyperbunk 2077 at Ultra on an M1 MBP
    > But then Apple doesn't ship devices with actually powerful GPUs, so it can never compete with the gaming PCs which are far less expensive and far more powerfull graphics-wise. It is still expensive to have to use Windows just so you can game. Or put all the effort into dual booting Linux. Most people just use a Macbook and then get an Xbox/Ps5/Switch/Quest2. For games I can't use on those you can get Shadow PC... - Source: Hacker News / about 2 years ago
  • Stream pirated Games
    There is shadow.tech, which just gives you a full Windows Desktop with a little persistent disk. This should in theory work the way you want to. Source: about 2 years ago
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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 Shadow and OpenCV, you can also consider the following products

Parsec - Streams games locally or over the internet

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

Geforce Now - Underpowered PC can now pack the punch of high-performance GeForce GTX GPUs with GeForce NOW.

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

Stadia - A new gaming platform from Google

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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