Detect Emotion Using Deeplearning
I made this project structured almost in similar to my Face Recognition Project,
- Python 3.6
- OpenCV 3.4.1
- Numpy
- Keras
- clone the repo
- Create an empty Folder named "dataSet" in the same directory where the python scripts are
- Create an empty folder called trainer In same directory
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run the datasetGenerator.py and enter the face expression that you want to add to your dataset.
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press "S" once you are ready to save/capture the expression, keep capturing save expression in different lighting and background
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press "Q" to quit or it will automatically exit after 20 samples. Once you have saved a set of samples for one expression, repeat the process for more expressions
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run trainer.py. it till take some time to complete the training wait until it completes
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run detector.py