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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.
Pros of GStreamer
- Ease of use2
- Cross Platform1
- Open Source1
Pros of OpenCV
- Computer Vision36
- Open Source17
- Imaging12
- Machine Learning9
- Face Detection9
- Great community6
- Realtime Image Processing4
- Helping almost CV problem2
- Image Augmentation2
