Getting startedΒΆ
import datasetops as do
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:
...