{ "info": { "author": "Dan Antoshchenko", "author_email": "", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "The original work of this project is always belong to the original creator (https://github.com/TropComplique/mtcnn-pytorch). I just make this available on pypi for easy installation. To install this project just type `pip install torch-mtcnn`\n\n# MTCNN\n\n`pytorch` implementation of **inference stage** of face detection algorithm described in \n[Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks](https://arxiv.org/abs/1604.02878).\n\n## Example\n![example of a face detection](https://github.com/TropComplique/mtcnn-pytorch/blob/master/images/example.png)\n\n## How to use it\nInstall the package with pip: `pip install torch-mtcnn`\n```python\nfrom torch_mtcnn import detect_faces\nfrom PIL import Image\n\nimage = Image.open('image.jpg')\nbounding_boxes, landmarks = detect_faces(image)\n```\nFor a few more examples available on the original repository (link above).\n\n## Requirements\n* pytorch 0.2\n* Pillow, numpy\n\n## Credit\nThis implementation is heavily inspired by:\n* [pangyupo/mxnet_mtcnn_face_detection](https://github.com/pangyupo/mxnet_mtcnn_face_detection) \n\n\n", "description_content_type": "text/markdown", "docs_url": 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