  import paz.abstract as pz
import paz.backend.image as pz_img
import paz.backend.box as pz_box

# Define the image augmentation pipeline
image_augmentation_pipeline = pz.SequentialPipeline([
    pz_img.RandomContrast(),
    pz_img.RandomBrightness(),
    pz_img.RandomSaturation(),
    pz_img.RandomHue()
])

# Define the box augmentation pipeline
box_augmentation_pipeline = pz.SequentialPipeline([
    pz_box.ToImageBoxCoordinates(),
    pz_box.Expand(),
    pz_box.RandomSampleCrop(),
    pz_box.RandomFlipLeftRight()
])

# Define the preprocessing pipeline
preprocessing_pipeline = pz.SequentialPipeline([
    pz_box.MatchToDefaultBoxes(),
    pz_box.EncodeBoxes(),
    pz_box.ExpandClassLabelToOneHotVector()
])

# Define the drawing pipeline
drawing_pipeline = pz.SequentialPipeline([
    pz_box.DrawBoxes()
])

# Define the sequence generator
sequence_generator = pz.SequenceGenerator(
    image_augmentation_pipeline,
    box_augmentation_pipeline,
    preprocessing_pipeline,
    drawing_pipeline
)

# Generate a batch of data
batch = sequence_generator.generate(10)

# Print the batch
print(batch)