Need help with mtcnn-pytorch?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

TropComplique
559 Stars 157 Forks MIT License 11 Commits 14 Opened issues

Description

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Services available

!
?

Need anything else?

Contributors list

# 83,164
Python
pytorch
Keras
topic-m...
7 commits
# 175,797
Jupyter...
Python
pytorch
mtcnn
1 commit
# 224,455
Jupyter...
Python
convolu...
pytorch
1 commit

MTCNN

pytorch
implementation of inference stage of face detection algorithm described in
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks.

Example

example of a face detection

How to use it

Just download the repository and then do this ```python from src import detect_faces from PIL import Image

image = Image.open('image.jpg') boundingboxes, landmarks = detectfaces(image) ``

For examples see
testonimages.ipynb`.

Requirements

  • pytorch 0.2
  • Pillow, numpy

Credit

This implementation is heavily inspired by: * pangyupo/mxnetmtcnnface_detection

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.