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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. | A content aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper |
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 | Customizable command line support; Support for both shrinking or enlarging the image;
Resize image both vertically and horizontally; Can resize all the images from a directory;
Does not require any third party library;
Use of sobel threshold for fine tuning;
Use of blur filter for increased edge detection |
Statistics | |
GitHub Stars - | GitHub Stars 10.4K |
GitHub Forks - | GitHub Forks 385 |
Stacks 1.4K | Stacks 0 |
Followers 1.1K | Followers 5 |
Votes 102 | Votes 1 |
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