emotion-recognition-1: A Python repository from sourcedexter

Facial Emotion Recognition using TensorFlow!

DATA SET:

Download Data Set: fer2013.bin (63M) and test_batch.bin (7.9M) from https://goo.gl/ffmy2h

Image Properties: Size of an image - 48 x 48 pixels (2304 bytes), Size of a label - number in (0..6) (1 byte) (0=Angry, 1=Fear, 2=Happy, 3=Sad, 4=Disgust, 5=Surprise, 6=Neutral).

Data Set Format: 1st byte is the label number and the next 2304 bytes are the image pixels.
Create a data directory in your system: /tmp/fer2013_data/
Put the training data set (28,709 images) in: /tmp/fer2013_data/fer2013-batches-bin/fer2013.bin
Put the testing data set (3,589 images) in: /tmp/fer2013_data/fer2013-batches-bin/test_batch.bin

Install TensorFlow: https://www.tensorflow.org/versions/r0.7/get_started/os_setup.html#pip-installation
Run python fer2013_train.py (Takes ~20hrs on a quad core laptop!)
Run python fer2013_eval.py on fer2013.bin data (Training Precision)
Run python fer2013_eval.py on test_batch.bin data (Evaluation Precision)

Run tensorboard --logdir "/tmp"
Go to http://0.0.0.0:6006/
This displays events, images, graphs and histograms for the train and eval runs on the model.