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face-expression-recognition's Introduction

MLProject: Human Face Expression Recognition

Prerequisite

  1. Download FER2013 dataset from kaggle and put train.csv test.csv under ./dataset. Note that you need to manually add label column in test.csv.
  2. Then run python generate_data.py, which will create training, validation and test images set under ./dataset/images.

How to run

  • SVM: run python svm.py. Refer to the code to change some settings.
  • CNN: run python train_cnn.py to train. run python test_cnn.py to test. You can set your own arguments (please refer to the code). demo.py provides a simple demo to predict expression probability given an image.

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