The project deals with categorizing the facial emotions of a person into the time series of the five universal emotions –happiness, surprise, anger, disgust, fear. The project takes the image pixels captured from the video feed as an input and then the input is processed through the three separate models to produce a class label emotion and the probability percentage of the emotion being correct. Trained on Cohn-Kanade (Ck+) dataset
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The project deals with categorizing the facial emotions of a person into the time series of the six universal emotions –happiness, surprise, anger, disgust, fear, sadness. The project takes the image pixels captured from the video feed as an input and then the input is processed through the three separate models to produce a class label emotion …
gitshanks/facialemotionrecognition
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The project deals with categorizing the facial emotions of a person into the time series of the six universal emotions –happiness, surprise, anger, disgust, fear, sadness. The project takes the image pixels captured from the video feed as an input and then the input is processed through the three separate models to produce a class label emotion …
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