Facial Recognition using Bayesian Classifier, KNN, Kernel SVM, Boosted SVM, PCA, and MDA

To run the code keep your data in ./Data/ folder and use the following command:

pyhon <filename>.py --task_id <task_id> --transform <transform_name> --data_name <data_name>

Given the filename and the other input arguments the default parameters will load and the you can obtain the results as mentioned in the report. filename can take bayes, knn, kernel_svm, boosted_svm as its values. task_id can take 1 or 2 based on the task you want to do. Task_id 1 is identifying the label and task_id 2 is neutral vs expression classification. transform_name can take PCA or MDA. data_name can take data, pose, illum for task1 and just data for task2. Some of the example commands to run the code are:

python knn.py --transform PCA --task_id 1 --data_name data
python kernel_svm.py --kernel rbf --transform MDA
python boosted_svm.py --transform MDA

Note: If you want to plot the plots then uncomment the plotting code in each .py file 
create the folder path in your system