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Copy file name to clipboardExpand all lines: Facial-Expression-Recognition/readme.md
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__Facial Expression Recognition__
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# Facial Expression Recognition
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***
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Facial expression recognition is a technology which detects emotions in human faces. More precisely, this technology is a sentiment analysis tool and is able to automatically detect the basic or universal expressions: happiness, sadness, anger, surprise, fear, and disgust etc.
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__Dependencies__
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## Dependencies
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<code>
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</code>
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__Implementation of OpenCV HAAR CASCADES__
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## Implementation of OpenCV HAAR CASCADES
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Here "Frontal Face Alt" Classifier is used for detecting the presence of Face in the WebCam.
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</code>
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__ReTraining the Network - Tensorflow Image Classifier__
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## ReTraining the Network - Tensorflow Image Classifier
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Create an Image classifier that identifies whether a person is sad, happy and so on and then show this text on the OpenCV Window.
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</code>
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__Importing the ReTrained Model and Setting Everything Up__
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## Importing the ReTrained Model and Setting Everything Up
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Now run the "label.py" program by typing the following in Terminal:
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It will open a new window of OpenCV and then identifies your Facial Expression. ##You can express your emotions and get the results.##
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