Metadata-Version: 2.1
Name: cornea
Version: 1.1.0
Summary: A PyPI package to extract insightful information about an image using Machine Intelligence
Home-page: https://github.com/pravinba9495/cornea
Author: Praveen Ravichandran
Author-email: pravinba9495@gmail.com
License: MIT
Description: # Cornea
        
        ![PyPI - License](https://img.shields.io/pypi/l/cornea)
        [![Codacy Badge](https://api.codacy.com/project/badge/Grade/ea8ff99a54fb4f51990ae09014fd0978)](https://www.codacy.com/app/pravinba9495/cornea?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=pravinba9495/cornea&amp;utm_campaign=Badge_Grade)
        ![PyPI](https://img.shields.io/pypi/v/cornea)
        
        A PyPI package to extract insightful information about an image using Machine Intelligence
        
        ## Requirements
        -   Python >=3.7
        
        ## Installation
        The recommended method to install this package is by using `pip` or `pip3`
        
        ```bash
        pip3 install cornea
        or
        python3 -m pip install cornea
        ```
        
        ## Setup
        The package requires that you specify your Microsoft Azure API credentials as environment variables. Type the following commands in your terminal. ALternatively, you can also add the following lines at the end of `.bashrc` or `.bash_profile`.
        
        ```bash
        export AZURE_API_KEY={{{YOUR_API_KEY}}}
        export AZURE_API_BASE_ENDPOINT={{{YOUR_API_REGION_BASE_URL}}}
        export AZURE_API_VERSION={{{AZURE_API_VERSION}}}
        ```
        
        **Example**:
        ```bash
        export AZURE_API_KEY=QmQZdzdQXftzrOOvCUC7tjx8wzZed8Wk
        export AZURE_API_BASE_ENDPOINT=https://eastus.api.cognitive.microsoft.com
        export AZURE_API_VERSION=v2.0
        ```
        
        ## Usage
        ```python
        from cornea import descImgFromURL
        
        analysis = descImgFromURL("https://upload.wikimedia.org/wikipedia/commons/b/b9/CyprusShorthair.jpg")
        print(analysis)
        ```
        
        ## Output
        ```bash
        {'categories': [{'name': 'animal_cat', 'score': 0.99609375}], 'color': {'dominantColorForeground': 'Grey', 'dominantColorBackground': 'Grey', 'dominantColors': ['Grey'], 'accentColor': '5C4E3C', 'isBwImg': False, 'isBWImg': False}, 'description': {'tags': ['cat', 'indoor', 'laying', 'bed', 'sitting', 'white', 'brown', 'lying', 'small', 'large', 'sleeping'], 'captions': [{'text': 'a cat lying on a bed', 'confidence': 0.9512938154506553}]}, 'requestId': 'ef807a48-ecbf-4c30-883b-64a7d25683f2', 'metadata': {'width': 1024, 'height': 768, 'format': 'Jpeg'}}
        ```
        
Keywords: python,image-classification,pip,pypi-package,cognitive-services,microsoft-azure,image-analysis
Platform: UNKNOWN
Requires-Python: ~=3.7
Description-Content-Type: text/markdown
