Implementation of the MTCNN face detection algorithm. This project converted the code from ipazc/mtcnn to TF Lite.
You can install the package through pip:
pip install mtcnn-tflite
Similar to the original implementation, 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)
}
}
]
| Image size | TF version | Process time * |
|---|---|---|
| 561x561 | TF2 | 698ms |
| 561x561 | This repository (TF Lite) | 445ms |
* executed on a CPU: Intel i7-10510U
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