Metadata-Version: 2.1
Name: imgo
Version: 2.0.0
Summary: Image data processing and augmentation
Home-page: https://github.com/elbydata/imgo
Author: Elby Data
Author-email: info@elbydata.com
License: UNKNOWN
Description: # IMGO
        
        ## Compile, Process, and Augment Image Data
        
        This library is designed to facilitate the preprocessing phase of image classification projects. 
        
        ### Features:
        
        Imgo is composed of two distinct but related modules: **uptools** and **augtools**.
        
        **Uptools** helps to streamline various image data preprocessing tasks, such as:
        
         - Reading images from a local disk
         - Rescaling images
         - Normalizing and standardizing pixel values
         - Converting image datasets into numpy-arrays
         - One-hot-encoding label data
         - Splitting image datasets into training, validation, and testing subsets
         - Merging data subsets into single dataset
         - Saving numpy-arrays as images in class subdirectories
         
        **Augtools** allows the user to quickly and efficiently apply augmentation to image data. With Augtools, users can perform the following augmentation tasks using very few lines of code:
        
         - Apply a small but powerful collection of transformation and corruption functions
         - Augment images saved on a local disk
         - Save augmented images in class subdirectories
         - Augment entire image datasets
         - Augment training data in place in preparation for machine learning projects
         
        Here is a sample image augmented using Imgo:
        
        ![imgo_aug_demo](aux/imgo_aug_demo.jpg)
        
        ### Installation
        
        It's as easy as `pip install imgo`!
        
        ### Quickstart
        
        Have a look at the demos [here](https://github.com/elbydata/imgo/tree/master/demos)!
        
        ### Documentation
        
        Documentation is currently available in the form of docstrings.
        
        ### Requirements and Dependencies
        
        Please see the `requirements.txt` file for all requirements and dependencies.
         
        ### Support
        
        The source code is available [here](https://github.com/elbydata/imgo/tree/master/imgo).
        Please direct any queries or issues to info@elbydata.com.
        
        ### License
        
        The project is licensed under the MIT license.
        
        ### Acknowledgements
        
        The **Augtools** library is built as a wrapper around **Imgaug**, a powerful image augmentation library. For more information, please see https://imgaug.readthedocs.io/en/latest/.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
