A photo booth game that can detect if you're happy or sad then answer relevant questions
This is photobooth that can detect (using your webcamera) emotions. It allows users to play different emotion based games using a graphical interface made in Tkinter. At the end of the game the user is able to take a snapshot, print and place text on their image.
Clone and change directory to the repository
git clone https://github.com/smerkousdavid/EmotionPhotoBooth ~/EmotionPhotoBooth
cd ~/EmotionPhotoBooth
Install the dependencies
sudo pip install -r requirements.txt
**If you want to build your own facial recognition dataset**
Make sure to read these instructions
Create the required directories
cd ~/EmotionPhotoBooth
mkdir sorted_set source_emotion source_images dataset
Download the CK+ and Emotion Labels datasets from Cohn-Kanade
Once completed unzip the folder(s) near the EmotionPhotoBooth folder
**You must register via a valid email**
http://www.consortium.ri.cmu.edu/ckagree/
Organizing the datasets
1. Move all of the folders containing *.txt into the source_emotion folder
2. Move all of the folders containing the images into the source_images folder
Run the premade cascade training (Modify the main file or import emotionset.py)
from config import Config
from emotionset import Emotions
config = Config()
emotions = Emotions(config)
emotions.calibrateCascades() # Crop the current datasets and just get the sorted cascade images (This will open a new window for every image)
emotions.createDataset() # Create the organized image data set with the cropped images
emotions.train() # Train and write the image datasets to the trainer.txt
emotions.run_test() # Test the trainer (It will print the success rate, the emotion labels must be present)
**You're done!**
To run the EmotionPhotoBooth just use either Python2.7 or above with the file main.py
python main.py
MIT License
Copyright (c) 2017 David Smerkous
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Paul van Gent, 2016
van Gent, P. (2016). Emotion Recognition With Python, OpenCV and a Face Dataset.
A tech blog about fun things with Python and embedded electronics. Retrieved from:
http://www.paulvangent.com/2016/04/01/emotion-recognition-with-python-opencv-and-a-face-dataset/
Cohn, &Tian and Lucey, 2000
Cohn, T., & L. (n.d.). Cohn-Kanade (CK and CK ) database Download Site. Retrieved March 02, 2017, from http://www.consortium.ri.cmu.edu/ckagree/