Metadata-Version: 1.1
Name: duckgoose
Version: 0.1
Summary: Utility functions for the fast ai mooc
Home-page: http://github.com/svenski/duckgoose
Author: Sergiusz Bleja
Author-email: duckgoose@bleja.org
License: MIT
Download-URL: https://github.com/svenski/duckgoose/archive/0.1.tar.gz
Description-Content-Type: UNKNOWN
Description: # duckgoose
        Utils for the online [fast.ai](www.fast.ai) course
        
        ## Installation
        
        ## Prerequisites 
        
        ## `fetchImagesAndPrepForClassification`
        
        Utility for Lesson 1 experimentation with external classes. The script:
        * Downloads images from google images download for specific classes
        * Sanity check that images can be opened and have three channels
        * Organises the images into separate folders (train/valid/test + classes) as expected by the fast.ai library
        
        ### Quick example
        
        ```python
        from duckgoose import fetchImagesAndPrepForClassification
        
        # dictionary structure `class_name => search term`
        image_classes = { 'ducks' : 'ducks -rubber' , 'geese' : 'geese' }
        download_path = '/home/myuser/data/downloaded_from_google'
        output_path = '/home/myuser/data/ducksgeese/'
        number_of_images = 100
        
        fetchImagesAndPrepForClassification(image_classes, download_path, output_path, number_of_images)
        ```
        
        
        # License
        [The MIT License (MIT)](LICENSE.txt)
        
Keywords: fastai,image-classification,deep-learning
Platform: UNKNOWN
