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@ -2,7 +2,8 @@
<div align="center"> <div align="center">
[![Downloads](https://pepy.tech/badge/deepface)](https://pepy.tech/project/deepface) [![Downloads via PyPI](https://pepy.tech/badge/deepface)](https://pepy.tech/project/deepface)
[![Downloads via Conda](https://anaconda.org/conda-forge/deepface/badges/downloads.svg)](https://anaconda.org/conda-forge/deepface)
[![Stars](https://img.shields.io/github/stars/serengil/deepface?color=yellow&style=flat)](https://github.com/serengil/deepface/stargazers) [![Stars](https://img.shields.io/github/stars/serengil/deepface?color=yellow&style=flat)](https://github.com/serengil/deepface/stargazers)
[![License](http://img.shields.io/:license-MIT-green.svg?style=flat)](https://github.com/serengil/deepface/blob/master/LICENSE) [![License](http://img.shields.io/:license-MIT-green.svg?style=flat)](https://github.com/serengil/deepface/blob/master/LICENSE)
[![Support me on Patreon](https://img.shields.io/endpoint.svg?url=https%3A%2F%2Fshieldsio-patreon.vercel.app%2Fapi%3Fusername%3Dserengil%26type%3Dpatrons&style=flat)](https://www.patreon.com/serengil?repo=deepface) [![Support me on Patreon](https://img.shields.io/endpoint.svg?url=https%3A%2F%2Fshieldsio-patreon.vercel.app%2Fapi%3Fusername%3Dserengil%26type%3Dpatrons&style=flat)](https://www.patreon.com/serengil?repo=deepface)
@ -20,14 +21,20 @@ Deepface is a lightweight [face recognition](https://sefiks.com/2018/08/06/deep-
Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level. Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level.
## Installation [![PyPI](https://img.shields.io/pypi/v/deepface.svg)](https://pypi.org/project/deepface/) ## Installation [![PyPI](https://img.shields.io/pypi/v/deepface.svg)](https://pypi.org/project/deepface/) [![Conda](https://img.shields.io/conda/vn/conda-forge/deepface.svg)](https://anaconda.org/conda-forge/deepface)
The easiest way to install deepface is to download it from [`PyPI`](https://pypi.org/project/deepface/). It's going to install the library itself and its prerequisites as well. The library is mainly powered by TensorFlow and Keras. The easiest way to install deepface is to download it from [`PyPI`](https://pypi.org/project/deepface/). It's going to install the library itself and its prerequisites as well.
```python ```shell
pip install deepface pip install deepface
``` ```
DeepFace is also available at [`Conda`](https://anaconda.org/conda-forge/deepface).
```shell
conda install deepface
```
Then you will be able to import the library and use its functionalities. Then you will be able to import the library and use its functionalities.
```python ```python