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Leith-Benali/LayerID

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Training

1. Open the file layerID_train_new.py

2. Enter the parameters and run the program (refer to the list of parameters for details on the information to give for each parameter)

3. For the img_file use an image of a sample of which the layers have already been identified

- Note that when cropping the image the y-values increase going from top to bottom

- The out_file should be an empty/nonexistent file. It will be filled/created when the code is run (remember to change this parameter for each new material/substrate combination)

4. When the processed image loads, write down the thicknesses and number of each cluster

- The cluster number is found by hovering the mouse over a cluster and looking at the number in brackets at the bottom right of the figure (these numbers are random and are not yet correlated to the cluster thickness)

5. Close the figures and enter the cluster thicknesses as prompted

Master catalog

1. Open master_cataloger.py

2. Enter the parameters and run the program

Image Processing

1. Open ImageProcessing.py

2. Enter the parameters and run the program

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