# MTCNN face recognition

Implementation of the [MTCNN face detection algorithm](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7553523). This project converted the code from [ipazc/mtcnn](https://github.com/ipazc/mtcnn) to TF Lite.

## Installation

You can install the package through pip:

```
pip install mtcnn-tflite
```

## Quick start

Similar to [the original implementation](https://github.com/ipazc/mtcnn), the following example illustrates the ease of use of this package:

```
>>> from mtcnn_tflite.MTCNN import MTCNN
>>> import cv2
>>>
>>> img = cv2.cvtColor(cv2.imread("ivan.jpg"), cv2.COLOR_BGR2RGB)
>>> detector = MTCNN()
>>> detector.detect_faces(img)
[
    {
        'box': [276, 88, 51, 68],
        'confidence': 0.9989245533943176,
        'keypoints': {
            'left_eye': (291, 117),
            'right_eye': (314, 114),
            'nose': (303, 130),
            'mouth_left': (296, 143),
            'mouth_right': (314, 141)
        }
    }
]
```


## Benchmark

| Image size | TF version                            | Process time * |
|------------|---------------------------------------|----------------|
| 561x561    | [TF2](https://github.com/ipazc/mtcnn) | 698ms          |
| 561x561    | **This repository** (TF Lite)         | 445ms          |

\* executed on a CPU: Intel i7-10510U

## License

[MIT License](https://github.com/mobilesec/mtcnn-tflite/blob/master/LICENSE)




MTCNN face detection implementation in Tensorflow Lite. 

mtcnn-tflite

MTCNN face detection implementation in Tensorflow Lite.

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mtcnn-tflite

MTCNN face recognition

Installation

Quick start

Benchmark

License

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