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Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).
On top of the networks, the medical application level with viewers and UI panels can be added. Panels are written in the MeVisLab Definition Language (MDL), can be scripted with Python or JavaScript and styled using MeVisLab-internal mechanisms or Qt features. The development of own modules written in C++ or Python is supported by wizards.
pyFAI, [99] Fast Azimuthal Integration in Python; Random123, [100] library of counter-based random number generators; SecondSpace, [101] simulation software for waves in 2D space; StarPU, [102] task programming library; Theano: Python array library [103] [104] UFO, [105] [106] data processing framework; VexCL, [107] [108] vector expression ...
This is a list of free and open-source software packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
Whether you’re looking for a delicious one-pot meal, a veggie-packed salad or a hearty casserole, these flavorful dinner recipes highlight one of our favorite protein sources: chicken!
Python mahotas, an open source computer vision package which includes an implementation of LBPs. OpenCV's Cascade Classifiers support LBPs as of version 2. VLFeat, an open source computer vision library in C (with bindings to multiple languages including MATLAB) has an implementation.
In today’s Inside Coverage, Jason Fitz, Charles Robinson, and Frank Schwab dive into a wild NFL week filled with coaching rumors, locker room tension and playoff implications.