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MTCNN face detection implementation in Tensorflow Lite.

Project description

MTCNN face recognition

Implementation of the MTCNN face detection algorithm. This project converted the code from ipazc/mtcnn to TF Lite.

Installation

You can install the package through pip:

pip install mtcnn-tflite

Quick start

Similar to the original implementation, the following example illustrates the ease of use of this package:

>>> from mtcnn_tflite 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 698ms
561x561 This repository (TF Lite) 445ms

* executed on a CPU: Intel i7-10510U

License

MIT License

Project details


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mtcnn_tflite-0.0.1.tar.gz (2.3 MB view hashes)

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mtcnn_tflite-0.0.1-py3-none-any.whl (2.3 MB view hashes)

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