semvec/pypi-packages huggingface dataset:
cornea 1.1.0
A PyPI package to extract insightful information about an image using Machine Intelligence
License: MIT
Requires Python: ~=3.7
Keywords: python,image-classification,pip,pypi-package,cognitive-services,microsoft-azure,image-analysis

# 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'}}
```