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**Deepface** is a lightweight facial analysis framework including [face recognition](https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/) and demography ([age](https://sefiks.com/2019/02/13/apparent-age-and-gender-prediction-in-keras/), [gender](https://sefiks.com/2019/02/13/apparent-age-and-gender-prediction-in-keras/), [emotion](https://sefiks.com/2018/01/01/facial-expression-recognition-with-keras/) and [race](https://sefiks.com/2019/11/11/race-and-ethnicity-prediction-in-keras/)) for Python. You can apply facial analysis with a few lines of code. It plans to bridge a gap between software engineering and machine learning studies.
# Installation
The easiest way to install deepface is to download it from [PyPI](https://pypi.org/project/deepface/).
```python
!pip install deepface
```
# Face Recognition
Verify function under the DeepFace interface is used for face recognition.
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BTW, you should use regular slash ( / ) instead of backslash ( \ ) in Windows OS while passing the path to stream function. E.g. `DeepFace.stream("C:/User/Sefik/Desktop/database")`.
# Installation
The easiest way to install deepface is to download it from [PyPI](https://pypi.org/project/deepface/).
```
pip install deepface
```
Alternatively, you can directly download the source code from this repository. **GitHub repo might be newer than the PyPI version**.
```
git clone https://github.com/serengil/deepface.git
cd deepface
pip install -e .
```
Initial tests are run for Python 3.5.5 on Windows 10 but this is an OS-independent framework. Even though pip handles to install dependent libraries, the framework basically needs the dependencies defined in the [requirements](https://github.com/serengil/deepface/blob/master/requirements.txt). You might need the specified library requirements if you install the source code from scratch.
# API
Deepface offers an API as well. You can clone [`/api/api.py`](https://github.com/serengil/deepface/tree/master/api/api.py) and pass it to python command as an argument. This will get a rest service up.