Directory Architecture.txt

Folder Architecture:
---------------------------

Website Saliency Prediction
  |
  |-----Initial_Data_Preprocessing
  |       |----heatmapGeneration.py
  |
  |-----Machine Learning Approach
  |       |----datafilegeneration.py
  |       |----datasegregation.py
  |       |----randomforest.py
  |       |----saliency.py
  |       |----svm.py
  |       
  |-----Model Training Scripts
  |       |----GDI_FCN_TRAIN.ipynb
  |       |---- WEBSITE_SALIENCY_PREDICTION_Final.ipynb
  |
  |-----Prediction_and_Analysis
  |       |----Evaluation Metric Scripts
  |       |       |----AUC_Calculation.ipynb
  |       |       |----cross_correlation_and_NSS_Calculation.ipynb
  |       |----Evaluation Data
  |       |       |----Deep Gaze II (predited data)
  |       |       |----FCN16 (predited data)
  |       |       |----Ground_Truth_Eyemap (Test)
  |       |       |----Test case Stimuli
  |       |       |----etc...
  |       |----Evaluation Result
  |       |----Generalization Scripts
  |       |       |----AUC_Calculation.ipynb
  |       |       |----cross_correlation_and_NSS_Calculation.ipynb
  |       |----Generalization Data
  |       |       |----FiWi (test stimuli, test grounf truth and predited data)
  |       |       |----MASSVIS (test stimuli, test grounf truth and predited data)
  |       |       |----MIT Data (test stimuli, test grounf truth and predited data)
  |       |----Generalization Results
  |-----Pretrained models