{ "info": { "author": "David Nicholson", "author_email": "nicholdav@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: BSD License", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: Implementation :: CPython" ], "description": "\n# aver\nactive vision models, built with the [Nengo neural simulator](https://www.nengo.ai/).\n\n## installation\n\n```console\n$ pip install aver\n```\n\n## about\n### background\nThe phrase \"active vision\" is meant to refer to any model of vision that incorporates \neye movements. For background, please see:\n* Findlay, John M., and Iain D. Gilchrist. *Active vision: The psychology of looking and seeing.* \nNo. 37. Oxford University Press, 2003. \n\n* Hulleman, J., & Olivers, C. (2017). The impending demise of the item in visual search. \nBehavioral and Brain Sciences, 40, E132. doi:10.1017/S0140525X15002794\n\n* Yang, Scott Cheng-Hsin, Daniel M. Wolpert, and Mate Lengyel. \"Theoretical perspectives on active sensing.\" \nCurrent Opinion in Behavioral Sciences 11 (2016): 100-108.\n\n\nFor a brief introduction to active vision models, and how they relate to the typical tasks \nused to investigate visual search in the laboratory, please see \n[this notebook](./doc/notebooks/fvf-model-results.ipynb). The notebook contains results \nfrom a replication of an active vision-type model described in the Hulleman and Olivers \ncommentary cited above.\n\n### license\n[BSD](./LICENSE)\n\n### name\n![definition of \"a ver\"](./doc/static/aver.png)\n(from )\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/NickleDave/active-vision-nengo", "keywords": "", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "aver", "package_url": "https://pypi.org/project/aver/", "platform": "", "project_url": "https://pypi.org/project/aver/", "project_urls": { "Homepage": "https://github.com/NickleDave/active-vision-nengo" }, "release_url": "https://pypi.org/project/aver/0.1.0a1/", "requires_dist": [ "numpy", "scipy", "matplotlib", "jupyterlab", "nengo", "tqdm" ], "requires_python": ">=3.6.0", "summary": "Active Vision models, built with the Nengo neural simulator", "version": "0.1.0a1" }, "last_serial": 4906464, "releases": { "0.1.0a1": [ { "comment_text": "", "digests": { "md5": "85195b79c8f34fb4aa74b853e9d53215", "sha256": "1e44f9a88f2518d2ff3fbf46cbb590c5d9879d097e0afdb7e91b34cf3e082bdd" }, "downloads": -1, "filename": "aver-0.1.0a1-py3-none-any.whl", "has_sig": false, "md5_digest": "85195b79c8f34fb4aa74b853e9d53215", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.6.0", "size": 13513, "upload_time": "2019-03-06T17:29:57", "url": "https://files.pythonhosted.org/packages/7d/d6/2c87fb180adcca82e72d56baaa9f93b51120d8544647e78dff9246d036c5/aver-0.1.0a1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "4244080c452dcd71467adba25a1a6c1a", "sha256": "8042c31ddc7ec463a9f779796b2922cf9c85ef010d3e8d59518cc5d748acc36e" }, "downloads": -1, "filename": "aver-0.1.0a1.tar.gz", "has_sig": false, "md5_digest": "4244080c452dcd71467adba25a1a6c1a", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6.0", "size": 12552, "upload_time": "2019-03-06T17:30:00", "url": "https://files.pythonhosted.org/packages/2b/de/4d2926b36e6661c9348259f953a0a5c17763c58c787df64389a095ace5ce/aver-0.1.0a1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "85195b79c8f34fb4aa74b853e9d53215", "sha256": "1e44f9a88f2518d2ff3fbf46cbb590c5d9879d097e0afdb7e91b34cf3e082bdd" }, "downloads": -1, "filename": "aver-0.1.0a1-py3-none-any.whl", "has_sig": false, "md5_digest": "85195b79c8f34fb4aa74b853e9d53215", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.6.0", "size": 13513, "upload_time": "2019-03-06T17:29:57", "url": "https://files.pythonhosted.org/packages/7d/d6/2c87fb180adcca82e72d56baaa9f93b51120d8544647e78dff9246d036c5/aver-0.1.0a1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "4244080c452dcd71467adba25a1a6c1a", "sha256": "8042c31ddc7ec463a9f779796b2922cf9c85ef010d3e8d59518cc5d748acc36e" }, "downloads": -1, "filename": "aver-0.1.0a1.tar.gz", "has_sig": false, "md5_digest": "4244080c452dcd71467adba25a1a6c1a", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6.0", "size": 12552, "upload_time": "2019-03-06T17:30:00", "url": "https://files.pythonhosted.org/packages/2b/de/4d2926b36e6661c9348259f953a0a5c17763c58c787df64389a095ace5ce/aver-0.1.0a1.tar.gz" } ] }