Metadata-Version: 2.1
Name: transcendental
Version: 0.5.5
Summary: Minimal IA for image recognition
Home-page: https://github.com/4383/transcendental
Author: hervé beraud
Author-email: herveberaud.pro@gmail.com
License: UNKNOWN
Description: # Transcendental (π)
        
        Artificial Intelligence image recognition.
        
        Learn from input data and generate model, predict from previous generated model
        
        ## Disclaimer
        
        This is testing project purpose so it's currently in development and features
        are minimal don't juge me :)
        
        ## Features
        
        - Recognize cats
        - Recognize dogs
        
        ## Install
        
        ```shell
        $ pip install transcendental
        ```
        
        ## Usage
        
        ### trans-predict
        
        This command allow you to recognize an image passed in argument.
        
        Predict take exactly one argument who is the image to predict
        ```shell
        $ trans-predict --help 
        usage: trans-predict [-h] image
        
        Recognize cat and dogs
        
        positional arguments:
          image       an image to analyze
        
          optional arguments:
            -h, --help  show this help message and exit
        
        $ trans-predict ./image.png
        ```
        
        ### trans-train
        
        This command allow you to train your IA.
        
        This command generate models automaticaly used by predict at launch
        
        Currently in development!
        
        ### Requires
        
        - python 2.7+
        - keras
        - tensorflow
        - Pillow
        - h5py
        
        ## Resources
        - https://becominghuman.ai/building-an-image-classifier-using-deep-learning-in-python-totally-from-a-beginners-perspective-be8dbaf22dd8
        - https://drive.google.com/drive/folders/1XaFM8BJFligrqeQdE-_5Id0V_SubJAZe
        - https://machinelearningmastery.com/save-load-keras-deep-learning-models/
        - https://www.quora.com/How-do-artificial-neural-networks-work
        - http://torch.ch/blog/2015/11/13/gan.html
        
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires: pbd
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: devel
