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GStreamer

40
73
+ 1
4
OpenCV

1.1K
1K
+ 1
97
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GStreamer vs OpenCV: What are the differences?

GStreamer: Open source multimedia framework. GStreamer is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing; 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.

GStreamer and OpenCV can be categorized as "Image Processing and Management" tools.

Some of the features offered by GStreamer are:

  • Multiplatform
  • Comprehensive Core Library
  • Intelligent Plugin Architecture

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

  • 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

OpenCV is an open source tool with 37.1K GitHub stars and 27.4K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.

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Pros of GStreamer
Pros of OpenCV
  • 2
    Ease of use
  • 1
    Cross Platform
  • 1
    Open Source
  • 36
    Computer Vision
  • 17
    Open Source
  • 12
    Imaging
  • 9
    Machine Learning
  • 9
    Face Detection
  • 6
    Great community
  • 4
    Realtime Image Processing
  • 2
    Helping almost CV problem
  • 2
    Image Augmentation

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What is GStreamer?

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

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.

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What companies use GStreamer?
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What tools integrate with GStreamer?
What tools integrate with OpenCV?

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What are some alternatives to GStreamer and OpenCV?
FFMPEG
The universal multimedia toolkit.
WebRTC
It is a free, open project that enables web browsers with Real-Time Communications (RTC) capabilities via simple JavaScript APIs. The WebRTC components have been optimized to best serve this purpose.
Cloudinary
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
imgix
imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.
scikit-image
scikit-image is a collection of algorithms for image processing.
See all alternatives