semvec/pypi-packages huggingface dataset:
regula.facerecognition.webclient 3.0.0b0
Regula's Face Recognition python client
Requires Python: >=3.5
Keywords: face-recognition-client,face recognition,facer,regulaforensics,regula

# Regula Face Recognition web API Python 3.5+ client

[![OpenAPI](https://img.shields.io/badge/OpenAPI-defs-8c0a56?style=flat-square)](https://github.com/regulaforensics/FaceRecognition-web-openapi)
[![documentation](https://img.shields.io/badge/docs-en-f6858d?style=flat-square)](https://support.regulaforensics.com/hc/en-us/articles/115000916306-Documentation)
[![live](https://img.shields.io/badge/live-demo-0a8c42?style=flat-square)](https://api.regulaforensics.com/)

Face recognition as easy as reading two bytes.

If you have any problems with or questions about this client, please contact us
through a [GitHub issue](https://github.com/regulaforensics/FaceRecognition-web-python-client/issues).
You are invited to contribute [new features, fixes, or updates](https://github.com/regulaforensics/FaceRecognition-web-python-client/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22), large or small; 
We are always thrilled to receive pull requests, and do our best to process them as fast as we can.
See [dev guide](./dev.md)

## Install package
`regula.facerecognition.webclient` is on the Python Package Index (PyPI):

```bash
pip install regula.facerecognition.webclient
```

Or using `pipenv`
```bash
pipenv install regula.facerecognition.webclient
```

## Example
Performing request:
```python
from regula.facerecognition.webclient import *

with open("face1.jpg", "rb") as f:
    face_1_bytes = f.read()

with open("face2.jpg", "rb") as f:
    face_2_bytes = f.read()


with MatchingApi(host="http://0.0.0.0:41101/api") as api:
    images = [
        CompareImage(index=1, data=face_1_bytes, type=ImageSource.LIVE),
        CompareImage(index=2, data=face_1_bytes, type=ImageSource.DOCUMENT_RFID),
        CompareImage(index=3, data=face_2_bytes)
    ]
    compare_request = CompareRequest(images=images)
    compare_response = api.compare(compare_request)
    
    detect_request = DetectRequest(face_1_bytes)
    detect_response = api.detect(detect_request)
```

You can find more detailed guide and run this sample in [example](./example) folder.