UCL-ELEC0134_assignment

UCL ELEC0134 course final assignment

This readme file shows the structure of the codes and how to use it.

Python libraries used

• tensorflow
• scikit-learn
• numpy
• matplotlib
• cmake
• dlib
• opencv-python
• xgboost

Dlib is quite complicated to install. This website is quite helpful:How to Install dlib Library for python in windows 10 - GeeksforGeeks

Program structure

-- AMLS_22-23_SN22212102

  -- main.py

  -- A1

   -- CNN.py

   -- landmark_XGBoost.py

   -- landmark_MLP.py

  -- A2

   -- landmark_MLP.py

  -- B1

   -- EfficientNet.py

   -- VGG.py

  -- B2

   -- EfficientNet.py

   -- EfficientNet_Cropping.py

Program run instruction

The main function is composed of several sub function and you can run each function separately by commenting out the functions you don't want to run.

  -- solve_A1_landmark_XGBoost()

  -- solve_A1_landmark_MLP()

  -- solve_A1_CNN()

  -- solve_A2_MLP()

  -- solve_B1_VGG()

  -- solve_B1_EfficientNet_V2()

  -- solve_B2_EfficientNet()

  -- solve_B2_EfficientNet_Cropping()

Without commenting anything, all tasks will be run one by one when you run "main.py". Please remember to change the working dirctory to the loacation of the folder "AMLS_22-23_SN22081179".