{ "info": { "author": "Mick Thomure", "author_email": "thomure@cs.pdx.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: MacOS", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: C++", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Software Development" ], "description": "Glimpse, a General Layer-wise IMage ProceSsing Engine\r\n=====================================================\r\n\r\nThe Glimpse project [IJCNN2013]_ is a library for implementing hierarchical\r\nvisual models in C++ and Python. The goal of this project is to allow a\r\nbroad range of feed-forward, hierarchical models to be encoded in a\r\nhigh-level declarative manner, with low-level details of the implementation\r\nhidden from view. This project combines an efficient implementation with the\r\nability to leverage parallel processing facilities and is designed to run on\r\nmultiple operating systems using only common, freely-available components. A\r\nprototype of Glimpse has been used to encode an HMAX-like model, achieving\r\nresults comparable with those found in the literature. The project has been\r\nsupported by NSF Grant 1018967 (PIs: Melanie Mitchell and Garrett Kenyon).\r\n\r\nSource code_ and documentation_ are available for the project, as well as an\r\ninstallable package_.\r\n\r\n.. _code: http://github.com/mthomure/glimpse-project\r\n.. _documentation: http://pythonhosted.org/glimpse/\r\n.. _package: http://pypi.python.org/pypi/glimpse\r\n\r\n.. [IJCNN2013] Michael D. Thomure, Melanie Mitchell, Garrett T. Kenyon\r\n (2013). 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