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import numpy as np
from PIL import Image
from pathlib import Path
"""Class to interface the training and testing data."""
class DatasetUtils:
def __init__(self) -> None:
self.data_path = Path('./data')
"""Convert the dataset to a 2 dimension array."""
def data_to_arrays(self):
for dir in self.data_path.iterdir():
if not dir.is_dir(): continue
for file in dir.glob('*.png'):
image = Image.open(str(file)).convert(mode='L')
# Return the image's pixel values as an array alongside
# the character that it represents.
yield (dir.name, np.asarray(image))
"""
Get an image from the dataset.
"""
def get_image(self, path: str):
return np.asarray(Image.open(f"{self.data_path}/{path}").convert('1'))
"""Search for a file in the dataset."""
def search(self, filename: str):
pass
def get_random_sample(self):
pass
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