Metadata-Version: 1.1
Name: partypi
Version: 0.1.0
Summary: Party Pi is a computer vision emotion detection game with OpenCV and Microsoft Oxford Emotion API.
Home-page: https://github.com/JustinShenk/party-pi
Author: Justin Shenk
Author-email: shenk.justin@gmail.com
License: MIT
Download-URL: https://github.com/JustinShenk/party-pi/tarball/0.1.0
Description: # Party Pi
        Emotion detection game for parties using computer vision.
        
        ## Description
        Interactive game that prompts players to show an emotion (eg, "Show surprise"), and displays the winner. Can be used on raspberry pi with piCamera module.
        
        ## Demo
        ![happiness](demo.png)
        
        ## Install
        Install OpenCV3 with python3 bindings
        
        ### Mac
        
        #### Brew
        `brew install opencv3 --with-python3 --with-contrib`
        
        #### Anaconda
        `conda install -c menpo opencv3=3.1.0`
        
        ### Ubuntu
        
        [Installing OpenCV3 on Ubuntu](http://www.pyimagesearch.com/2015/07/20/install-opencv-3-0-and-python-3-4-on-ubuntu/)
        
        ### Windows
        
        [Installing OpenCV3 on Windows](https://www.solarianprogrammer.com/2016/09/17/install-opencv-3-with-python-3-on-windows/)
        
        ## Get authorization keys
        
        [Microsoft/Oxford Emotion API](https://dev.projectoxford.ai/docs/services/5639d931ca73072154c1ce89)
        - Place your subscription key in config.json: "Ocp-Apim-Subscription-Key: {subscription key}"
        
        [Imgur API](https://api.imgur.com/endpoints)
        
        ## Getting Started
        
        Clone repository
        
        `git clone https://github.com/JustinShenk/party-pi.git`
        
        `cd party-pi`
        
        `pip install -r requirements.txt`
        
        Change auth.json.example to config.json and add your Emotion_API and Imgur keys.
        
        `python main.py`
        
        Additional arguments: `--picam` for piCamera module and `--resolution` to specify resolution.
        
        Select Easy or Hard Mode (left or right arrow keys)
        
        ## TODO
         - [ ] Fix alignment of analyzing text
         - [ ] Redesign mode selection boxes
         - [ ] Add PyQT for font and sizing support
        
        ## Author
        
        [Justin Shenk](https://github.com/JustinShenk/)
Keywords: OpenCV,cv2,emotion,detection,game
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Games/Entertainment
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Multimedia :: Video :: Display
