#Repository to test out creating a custom model for TensorFlow ###Training and Testing Instructions:

####Step 1: Convert the input dataset to a common resolution

    python rename.py

####Step 2 : Convert the training dataset to train-ready state.

    python pre_works_train.py

####Step 3 : Train the model.

for a channel training

    python create_model.py -a 

for b channel training

    python create_model.py -b 

####Step 4 : Convert the testing dataset to test-ready state

    python pre_works_test.py

####Step 5 : Test the model

for a channel testing

    python test.py -a 

for b channel testing

    python test.py -b

for ab channel testing

     python test.py -ab

######Note:

1: To test the model in ab-mode, test the model in a and b mode first.

2: For running the project for first time.

    sh do_first.sh

3: For clearing temp files and model.

    sh delete_temps.sh