A simple app that classifies a user's emotion based on facial landmarks!
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The project as of now has 3 running functionalities
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To run the Emotion Classifier on Jeffa dataset:
cd /path/to/your/directory
python emotrainer.py-
After which the program will show you a set of 5 images that are chosen at random as test images:
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Closing that shows us the histogram plotted using LPB:
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Closing that gives us the output with red text representing wrong prediction and green being right:
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The terminal has information about the mean accuracy:
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Sometimes output will have errors :
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To run the webscraping application for emotion to genre selection:
cd /path/to/your/directory
python emovie.py- To run the face and features detector:
This uses the 68 landmarks method:
cd /path/to/your/directory
python facial_landmarks.py --shape-predictor shape_predictor_68_face_landmarks.dat --image images/<imagename>.jpg