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OpenCV vs TinyPNG

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OpenCV
1.3K
1K
+ 1
101
TinyPNG
14
24
+ 1
0
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OpenCV vs TinyPNG: What are the differences?

What is OpenCV? Open Source Computer Vision Library. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

What is TinyPNG? Uses smart compression techniques to reduce the file size of your PNG files. Make your website faster and save bandwidth. It optimizes your PNG images by 50-80% while preserving full transparency.

OpenCV and TinyPNG belong to "Image Processing and Management" category of the tech stack.

Some of the features offered by OpenCV are:

  • C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android
  • More than 47 thousand people of user community and estimated number of downloads exceeding 7 million
  • Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics

On the other hand, TinyPNG provides the following key features:

  • Perfect image resizing
  • Resize your images
  • Gamma scaling

OpenCV is an open source tool with 37.6K GitHub stars and 27.8K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.

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Pros of OpenCV
Pros of TinyPNG
  • 37
    Computer Vision
  • 18
    Open Source
  • 12
    Imaging
  • 10
    Face Detection
  • 10
    Machine Learning
  • 6
    Great community
  • 4
    Realtime Image Processing
  • 2
    Helping almost CV problem
  • 2
    Image Augmentation
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    What is OpenCV?

    OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

    What is TinyPNG?

    Make your website faster and save bandwidth. It optimizes your PNG images by 50-80% while preserving full transparency.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use OpenCV?
    What companies use TinyPNG?
    Manage your open source components, licenses, and vulnerabilities
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    What tools integrate with OpenCV?
    What tools integrate with TinyPNG?

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    What are some alternatives to OpenCV and TinyPNG?
    TensorFlow
    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
    CImg
    It mainly consists in a (big) single header file CImg.h providing a set of C++ classes and functions that can be used in your own sources, to load/save, manage/process and display generic images.
    OpenGL
    It is a cross-language, cross-platform application programming interface for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit, to achieve hardware-accelerated rendering.
    PyTorch
    PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
    OpenCL
    It is the open, royalty-free standard for cross-platform, parallel programming of diverse processors found in personal computers, servers, mobile devices and embedded platforms. It greatly improves the speed and responsiveness of a wide spectrum of applications in numerous market categories including gaming and entertainment titles, scientific and medical software, professional creative tools, vision processing, and neural network training and inferencing.
    See all alternatives

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