Metadata-Version: 2.1
Name: CEREBRO8
Version: 0.0.1
Summary: Recognizing facial expressions from images, videos and real-time stream
Home-page: https://github.com/AmrSaber/Cerebro
Author: AmrSaber, WafaaIsmail, MohamedAhmed, SalmaSayed, MuhammadAref, ManarArabi
Author-email: amr.m.saber.mail@gmail.com, wafaaismail595@gmail.com, mohamedmaim97@gmail.com, Salmasayed797@gmail.com, muhammad.aref224@gmail.com, manar.araby.ma@gmail.com
License: gpl-3.0
Download-URL: https://github.com/AmrSaber/Cerebro/archive/v1.0.tar.gz
Description: # Cerebro
        Cerebro is a python package for **Facial Expression Detection**, we provide a trained model with accuracy around 98% of 8 emotions [Happy, surprise, contempt, sad ,angry,disgust,Neutral,Fear], with a very simple interface for detection from image,video with any rotation and Real time streaming.
        
        **Documentation**
        
        **Example**
        In this Example we get an image , predict an emotion then save it with the emotion.
        ```python
        from interface import video_stream as vs
        from interface import process_image as pi
        
        def main():
        	im = cv2.imread("interface/7.jpg")
        	items =pi.extract_faces_emotions(im)
        	im =pi.mark_faces_emotions(im)
        	cv2.imwrite("interface/77.jpg",im)
        	cv2.imshow("detected emotions",im)
        	cv2.waitKey(0)
            
        if __name__ == '__main__': main()
        
        ```
        ![alt text](https://github.com/AmrSaber/Cerebro/blob/master/images/BeFunky-collage.jpg "Example")
        
        **Installition**
        Cerebro depends on some python packages, once you install Cerebro any missing Module will be automatically installed, 
        for ***FFmpeg*** use this [link](https://github.com/adaptlearning/adapt_authoring/wiki/Installing-FFmpeg).
        
        ***Installation by hand***: download the sources, either from [PyPI](https://test.pypi.org/project/CEREBRO1/#description) or, if you want the development version, from GitHub, clone the project then use this command in terminal to setup.
        
        ```$ (sudo) python setup.py install```
        
        ***Installation with pip***: if you have pip installed, just type this in a terminal:
        
        ```$ (sudo) pip install CEREBRO8```
        ***Using Model*** : once You install Cerebro You have to dowenload our trained model from this [link](https://github.com/AmrSaber/Cerebro/blob/master/Cerebro/saved-models/emotions_model_specs.bin) and full model [link](https://github.com/AmrSaber/Cerebro/blob/master/Cerebro/saved-models/emotions_model.f5) then add them to new foldercalled ```saved-models```
        ***Using Landmark*** : if you want to use Landmark feature extractor you have to dowenload this file landmarks with 68 point using this [link](https://github.com/AmrSaber/Cerebro/tree/master/Cerebro/saved-models/face-landmarks) in this path
        ```saved-models/face-landmarks``` "create new folder called landmarks in saved-models" 
        
        **Video demo**
        
        **Real Time demo**
        
        **Maintainers** 
        
        * [AmrSaber](https://github.com/AmrSaber)
        * [Wafaaismail](https://github.com/Wafaaismail)
        * [aim97](https://github.com/aim97)
        * [ManarArabi](https://github.com/ManarArabi)
        * [SalmaSayed](https://github.com/SalmaSayed)
        * [MuhammeaAef](https://github.com/MuhammadAref)
        
        
        
Keywords: emotions,expressions,real-time stream
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
