Metadata-Version: 2.1
Name: ML_APIs
Version: 0.0.3
Summary: A package for google ML_APIs.
Home-page: https://santhoshse7en.github.io/ML_APIs
Author: M Santhosh Kumar
Author-email: santhoshse7en@gmail.com
License: UNKNOWN
Description: [![PyPI Version](https://img.shields.io/pypi/v/ML_APIs.svg)](https://pypi.org/project/ML_APIs)
        [![Coverage Status](https://coveralls.io/repos/github/santhoshse7en/ML_APIs/badge.svg?branch=master)](https://coveralls.io/github/santhoshse7en/ML_APIs?branch=master)
        [![License](https://img.shields.io/pypi/l/ML_APIs.svg )](https://choosealicense.com/licenses/gpl-3.0/#)
        [![Documentation Status](https://readthedocs.org/projects/pip/badge/?version=latest&style=flat)](https://santhoshse7en.github.io/ML_APIs/doc)
        
        ### ML_APIs
        ML_APIs enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use. It quickly classifies images into thousands of categories (e.g., “sailboat”, “lion”, “Eiffel Tower”), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage.
        
        | Source          | Link                                            |
        | :---            |    :----:                                       |
        | PyPI            | [https://pypi.org/project/ML_APIs/](https://pypi.org/project/ML_APIs/)                 |
        | Repository      | [https://santhoshse7en.github.io/ML_APIs](https://santhoshse7en.github.io/ML_APIs)                |
        | Documentation   | [https://santhoshse7en.github.io/ML_APIs/doc](https://santhoshse7en.github.io/ML_APIs/doc)      |
        
        
        ### Quick Start
        **In order to use this library, you first need to go through the following steps:**
        
        1. [Select or create a Cloud Platform project.](https://console.cloud.google.com/project)
        2. [Enable billing for your project.](https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project)
        3. [Enable the Google Cloud Vision API.](https://cloud.google.com/vision)
        4. [Setup Authentication.](https://googleapis.dev/python/google-api-core/latest/auth.html)
        
        ## Installation
        Install this library in a [virtualenv](https://virtualenv.pypa.io/en/latest/) using pip. [virtualenv](https://virtualenv.pypa.io/en/latest/) is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.
        
        With [virtualenv](https://virtualenv.pypa.io/en/latest/), it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.
        
        ### Supported Python Versions
        Python >= 3.5
        
        ### Deprecated Python Versions
        Python == 2.7. Python 2.7 support will be removed on January 1, 2020.
        
        #### Windows 
        ```console
        se7en@bar:~$ pip install virtualenv
        se7en@bar:~$ virtualenv <your-env>
        se7en@bar:~$ <your-env>\Scripts\activate
        (<your-env>)se7en@bar:~$ 
        ```
        ### Dependencies Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install following
        ```bash
        pip install -r requirements.txt
        ```
        
        The easiest way to install the latest stable version of ML_APIs is with pip:
        ```console
        pip install ML_APIs
        ```
        ### Example Usage Google Vision A.I. on local media file
        ```python3
        from ML_APIs.google import vision_ai_local
        
        path = <your-image>
        model = 'logos'
        credentials = <your-credentials.json>
        
        image_classification = vision_ai_local(path, model, credentials)
        image_classification.logos
        ```
        ### Next Steps
        Read the [Product documentation](https://santhoshse7en.github.io/ML_APIs/doc) to learn more about the product and see How-to Guides.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Communications :: Email
Classifier: Topic :: Office/Business
Classifier: Topic :: Software Development :: Bug Tracking
Description-Content-Type: text/markdown
