Metadata-Version: 1.1
Name: bob.ip.mtcnn
Version: 1.0.3
Summary: Face detection and landmark extraction using MTCNN pretrained model
Home-page: https://gitlab.idiap.ch/bob/bob.ip.mtcnn
Author: Tiago de Freitas Pereira
Author-email: tiago.pereira@idiap.ch
License: BSD
Description: .. vim: set fileencoding=utf-8 :
        .. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
        .. Fri 17 Jul 02:49:53 2016 CEST
        
        .. image:: http://img.shields.io/badge/docs-v1.0.3-yellow.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.mtcnn/v1.0.3/index.html
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           :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.mtcnn/master/index.html
        .. image:: https://gitlab.idiap.ch/bob/bob.ip.mtcnn/badges/v1.0.3/build.svg
           :target: https://gitlab.idiap.ch/bob/bob.ip.mtcnn/commits/v1.0.3
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           :target: https://gitlab.idiap.ch/bob/bob.ip.mtcnn/commits/v1.0.3
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           :target: https://gitlab.idiap.ch/bob/bob.ip.mtcnn
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           :target: https://pypi.python.org/pypi/bob.ip.mtcnn
        
        
        =====================================================
         Bob interface for MTCNN face and landmark detection
        =====================================================
        
        This package wraps the MTCNN face and landmark detection from the paper
        
            @ARTICLE{7553523, 
                author={K. Zhang and Z. Zhang and Z. Li and Y. Qiao}, 
                journal={IEEE Signal Processing Letters}, 
                title={Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks}, 
                year={2016}, 
                volume={23}, 
                number={10}, 
                pages={1499-1503}, 
                keywords={Benchmark testing;Computer architecture;Convolution;Detectors;Face;Face detection;Training;Cascaded convolutional neural network (CNN);face alignment;face detection}, 
                doi={10.1109/LSP.2016.2603342}, 
                ISSN={1070-9908}, 
                month={Oct},}
        
        
        Installation
        ------------
        
        Complete Bob's `installation`_ instructions. Then, to install this package,
        run::
        
          $ conda install bob.ip.mtcnn
        
        
        Documentation
        -------------
        For further documentation on this package, please read the `Latest Version <https://www.idiap.ch/software/bob/docs/bioidiap/bob.ip.mtcnn/master/index.html>`_ of the documentation.
        
        
        
        .. _bob: https://www.idiap.ch/software/bob
        
Keywords: bob,biometric recognition,evaluation
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
