Metadata-Version: 1.1
Name: easyLDA
Version: 0.2.7.3
Summary: easily bult LDA Topic Models with just a list of docs (e.g. a list of twitter posts in CSV/TXT
Home-page: https://github.com/shichaoji/easyLDA
Author: Shichao(Richard) Ji
Author-email: jshichao@vt.edu
License: MIT
Download-URL: https://github.com/shichaoji/easyLDA/archive/0.1.tar.gz
Description-Content-Type: UNKNOWN
Description: 
        picutils
        --------
        
        |PyPI version|
        
        json2df is a library does batch processing pictures
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        github: https://github.com/shichaoji/picutils
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        -  If you would like to run a image hosting website, it is handy to
           process a large number of images
        
        I have used the library processed almost 1 million photos for my other project face similarity searching & indexing, landmark detecting
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        http://iridescent.date/
        ^^^^^^^^^^^^^^^^^^^^^^^
        
        .. |PyPI version| image:: https://badge.fury.io/py/picutils.svg
           :target: https://badge.fury.io/py/picutils
        
        installation
        ~~~~~~~~~~~~
        
        pip install pictutils
        ^^^^^^^^^^^^^^^^^^^^^
        
        
        usage example
        ~~~~~~~~~~~~~
        
        Batch reducing pics size to about 200kb each, if you have many HD pics saved in a folder, run the library will batch coverting pics in the folder to .jpg and then resizing all pics till 100-200 kb each.R
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        -  Run $ python -m picutils.process\_pics , and then pass the images
           folder's name, in the directory where that folder resides
        
        .. image:: https://user-images.githubusercontent.com/20619704/34473164-3901bc16-ef3d-11e7-9f78-6c62fd4b3f15.jpg
           :alt: Demo 1
           :align: left
        
        
        
        
        Making index.html webbrowser file for a folder of pics for overall viewing, or hosting in a webpage
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        -  Run $ python -m picutils.html\_index , and then pass the images
           folder's name, in the directory where that folder resides
        
           -  the program will make a sub-thumbnail folder, so even if image
              sizes in the folder are very large, the small view pics in the
              index html will load instantly, for the purpose of hosting picture
              website when visitors has slow internet
           -  Thanks to myphotopack.com for those pretty pictures
        
        .. image:: https://user-images.githubusercontent.com/20619704/34473402-1d233422-ef40-11e7-9bb2-ab373c5a6377.jpg
           :width: 80%
           :alt: Demo 2
           :align: left
        
        
           
           
        Making a viewer.html webbrowser file for a folder of pics for single viewing, e.g. hosting a manga Website
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        -  Run $ python -m picutils.html\_viewer , and then pass the images
           folder's name, in the directory where that folder resides
        
           -  click right side of the photo will view next, while clicking left
              side turns to previous photo
        
        .. image:: https://user-images.githubusercontent.com/20619704/34473527-e93fd4ce-ef41-11e7-94b9-85873cd9219e.jpg
           :width: 80%
           :alt: Demo 3
           :align: left
Keywords: topic model,LDA,easy,text mining,natual language processing
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
