getting_started.rst

Getting started

path = '../data/nested_class_folder'

# Prepare your data
train, val, test =                                       \
   do.load_folder_class_data(path)                      \
      .set_item_names('data','label')                    \  
      .as_img('data').resize((240,240)).as_numpy('data') \
      .one_hot('label')                                  \
      .shuffle(seed=42)                                  \
      .split([0.6,0.2,0.3])      

# Do your magic using Tensorflow
train_tf = trian.to_tf() 

# Rule the world with PyTorch
train_pt = trian.to_pytorch() #coming up!

# Do your own thing
for img, label in train:
   ...