saikrithik / Emotion-Detector

Modified version of Emotion Detector

Emotion-Detector

Emotion-Detector to detect angry,sad,disgust emotions.

Dependencies

• Python 3, OpenCV, Tensorflow
• To install the required packages, run pip install -r requirements.txt.

Data Preparation (optional)

• The original FER2013 dataset in Kaggle is available as a single csv file. I had converted into a dataset of images in the PNG format for training/testing and provided this as the dataset in the previous section.
• In case you are looking to experiment with new datasets, you may have to deal with data in the csv format. I have provided the code I wrote for data preprocessing in the dataset_prepare.py file which can be used for reference.
• Download the FER-2013 dataset from here and unzip it inside the src folder. This will create the folder data.
• If you want to train this model, use:
• Reference

Algorithm

• First, the haar cascade method is used to detect faces in each frame of the webcam feed.
• The region of image containing the face is resized to 48x48 and is passed as input to the CNN.
• The network outputs a list of softmax scores for the seven classes of emotions.
• The emotion with maximum score is displayed on the screen.