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        "author": "David Nicholson",
        "author_email": "nicholdav@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
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        "description": "\n[![Build Status](https://travis-ci.com/NickleDave/searchstims.svg?branch=master)](https://travis-ci.com/NickleDave/searchstims)\n[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)\n[![DOI](https://zenodo.org/badge/134479044.svg)](https://zenodo.org/badge/latestdoi/134479044)\n[![PyPI version](https://badge.fury.io/py/searchstims.svg)](https://badge.fury.io/py/searchstims)\n\n# searchstims\n\nPython package to make stimuli like those used in classic visual search experiments  \nhttps://en.wikipedia.org/wiki/Visual_search  \n... but with the exact size to feed them to your favorite neural network.\n\n![feature_search](doc/redvert_v_greenvert_set_size_4_target_present_55.png)\n![spatial_config_search](doc/two_v_five_set_size_6_target_present_78.png)\n\nThere are links to example configuration files below.\n\nFor a recent review of factors influencing visual search, please see:  \n<http://search.bwh.harvard.edu/new/pubs/FiveFactors_Wolfe-Horowitz_2017.pdf>\n\nFor a dataset of human subjects performing a similar visual search task, please see:\n<http://search.bwh.harvard.edu/new/data_set_files.html>\n\n## Installation\n`pip install searchstims`\n\nIf you want to download and install locally into an environment with Anaconda:\n`/home/you/Documents $ conda create -n searchstims-env python=3.6 numpy pygame`  \n`/home/you/Documents $ source activate searchstims-env`  \n`(searchstims-env) /home/you/Documents $ git clone`  \n`(searchstim) /home/you/Documents $ cd searchstims`  \n`(searchstim) /home/you/Documents/searchstims $ pip install -e .`  \n\n## Usage\nThe `searchstims` package installs itself so that you can run it from the\ncommand line. You will use a config.ini file to specify the visual search stimuli \nyou want the package to generate.  \n\n`/home/you/Documents $ searchstims config.ini`  \n\nRunning the example script will create a folder `~/output` with visual search stimuli. \nFor more detail on the structure of `config.ini` files used with this package, see \n[./doc/config.md](./doc/config/md).\n\nFor examples of config.ini files, see [./doc/configs/](./doc/configs/).\nThese examples were used in this project:  \n<https://github.com/NickleDave/visual-search-nets>\n\n### `.json` output file\nIn addition to saving visual search stimuli in the output folder, `searchstims` \nsaves information about stimuli in a `.json` output file.  This `.json` file is \nprovided to make it easier to work with the visual search image files, \nand analyze results obtained with them. For more detail, see [./doc/json.md](./doc/json.md)\n\n## License\n[BSD-3](./LICENSE.txt)\n\n## Citation\nIf you use this library, please cite this repository using the DOI:  \n[![DOI](https://zenodo.org/badge/134479044.svg)](https://zenodo.org/badge/latestdoi/134479044)\n\n## Acknowledgments\n- Research funded by the Lifelong Learning Machines program, \nDARPA/Microsystems Technology Office, \nDARPA cooperative agreement HR0011-18-2-0019\n\n\n",
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