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Facial Expression Recognition A Survey
In this project author is describing concept to detect user mood in images by applying Facial Expression Technique. In this technique with all possible images a deep neural network model will be trained by extracting features from images and later test images features will be applied on this train model to predict user mood in images.
This project consists of following modules.
1) Upload Train Images: in this module we will upload a folder of images which contains various users mood images
2) Preprocessing or Extract Features: In this module we will convert images into gray scale format and extract features from images such as its RGB values from edge detection.
3) Generate DNN Training Model: In this module we will generate deep neural network model using training data generated in above step.
4) Upload Test Image & Predict Emotion: In this module we will upload test image and extract features and apply that features on DNN train model to detect user mood based on facial expression.
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