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OpenCV vs PixTeller: What are the differences?
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; PixTeller: Turn your words into amazing images. With this tool you can create targeted image quotes, personalized greeting cards or other amazing images.
OpenCV and PixTeller can be primarily classified as "Image Processing and Management" tools.
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, PixTeller provides the following key features:
- Create images based on themes
- Image editor
- The easiest design program
OpenCV is an open source tool with 40.1K GitHub stars and 30.3K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.
Pros of OpenCV
- Computer Vision37
- Open Source18
- Imaging12
- Face Detection10
- Machine Learning10
- Great community6
- Realtime Image Processing4
- Helping almost CV problem2
- Image Augmentation2