Metadata-Version: 2.1
Name: jmd-imagescraper
Version: 0.0.1
Summary: Image scraper for DuckDuckGo for creating deep learning datasets
Home-page: https://github.com/joedockrill/jmd_imagescraper/tree/master/
Author: Joe Dockrill
Author-email: joedockrill@gmail.com
License: Apache Software License 2.0
Description: # jmd_imagescraper
        > An image scraping library for creating deep learning datasets.
        
        
        This library is for creating deep learning datasets. 
        
        It uses DuckDuckGo for the image scraping as they have return nice big images and have some rather nice parameters to make your life easier, for example we can filter the searches to only return square images which are photos.
        
        `jmd_imagescraper.core` contains the main scraping/downloading functionality. \
        `jmd_imagescraper.imagecleaner` contains an image cleaner you can use from within your notebook to clean up the results and delete anything unsuitable.
        
        ## Install
        
        `pip install jmd_imagescraper`
        
        ## How to use
        
        ```python
        from jmd_imagescraper.core import *
        from pathlib import Path
        
        root = Path().cwd()/"images"
        duckduckgo_search(root, "Puppies", "cute puppies", max_results=10)
        ```
        
            Duckduckgo search: cute puppies
            Downloading results into C:\Users\Joe\Documents\GitHub\jmd_imagescraper\images\Puppies
            
        
        
        
        <div>
            <style>
                /* Turns off some styling */
                progress {
                    /* gets rid of default border in Firefox and Opera. */
                    border: none;
                    /* Needs to be in here for Safari polyfill so background images work as expected. */
                    background-size: auto;
                }
                .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {
                    background: #F44336;
                }
            </style>
          <progress value='10' class='' max='10' style='width:300px; height:20px; vertical-align: middle;'></progress>
          100.00% [10/10 00:02<00:00 Images downloaded]
        </div>
        
        
        
        
        
        
            [WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/001.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/002.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/003.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/004.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/005.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/006.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/007.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/008.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/009.jpg'),
             WindowsPath('C:/Users/Joe/Documents/GitHub/jmd_imagescraper/images/Puppies/010.jpg')]
        
        
        
        ```python
        from jmd_imagescraper.imagecleaner import *
        display_image_cleaner(root)
        ```
        
        ![](image_cleaner.jpg)
        
Keywords: image scraper deep learning dataset
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
