Metadata-Version: 2.1
Name: searchstims
Version: 0.1
Summary: generate images like the stimuli used in visual search experiments
Home-page: https://github.com/NickleDave/main.py
Author: David Nicholson
Author-email: nicholdav@gmail.com
License: BSD-3
Description: # searchstims
        
        Python package to make stimuli like those used in classic visual search experiments.  
        https://en.wikipedia.org/wiki/Visual_search
        
        ![efficient_search](redvert_v_greenvert_set_size_4_target_present_55.png)
        ![inefficient_search](two_v_five_set_size_6_target_present_78.png)
        
        ## Installation
        `pip install searchstims`
        
        If you want to download locally and put install an environment with Anaconda:
        `/home/you/Documents $ conda create -n searchstim python=3.6`  
        `/home/you/Documents $ source activate searchstim`  
        `(searchstim) /home/you/Documents $ git clone`  
        `(searchstim) /home/you/Documents $ cd searchstims`  
        `(searchstim) /home/you/Documents/searchstims $ pip install -e .`  
        
        ## Usage
        The `searchstims` package installs itself so that you can run it from the
        command line. You will use a config.ini file to specify what you want the
        package to generate. See the example [config.ini](./config.ini) for details.
        Running the example script will create a folder `~/output` with feature
        search stimuli.  
        `/home/you/Documents $ searchstims -c config.ini`
        
Keywords: visual search,pygame
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3
Description-Content-Type: text/markdown
