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27 lines
731 B
Markdown
27 lines
731 B
Markdown
# MTCNN
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`pytorch` implementation of **inference stage** of face detection algorithm described in
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[Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks](https://arxiv.org/abs/1604.02878).
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## Example
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
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## How to use it
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Just download the repository and then do this
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```python
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from src import detect_faces
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from PIL import Image
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image = Image.open('image.jpg')
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bounding_boxes, landmarks = detect_faces(image)
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```
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For examples see `test_on_images.ipynb`.
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## Requirements
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* pytorch 0.2
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* Pillow, numpy
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## Credit
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This implementation is heavily inspired by:
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* [pangyupo/mxnet_mtcnn_face_detection](https://github.com/pangyupo/mxnet_mtcnn_face_detection)
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