File size: 1,392 Bytes
5f0437a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | """
Created by Myung-Joon Kwon
mjkwon2021@gmail.com
July 14, 2020
modified by Fabrizio Guillaro
fabrizio.guillaro@unina.it
September 2022
"""
from project_config import project_root, dataset_paths
from dataset.AbstractDataset import AbstractDataset
import os
import numpy as np
from PIL import Image
class CASIA(AbstractDataset):
"""
directory structure:
CASIA2.0_revised
├── Au
├── Tp
└── groundtruth
"""
def __init__(self, crop_size, grid_crop, img_list: str, max_dim=None, aug=None):
super().__init__(crop_size, grid_crop, max_dim, aug=aug)
self._root_path = dataset_paths['CA']
with open(project_root / img_list, "r") as f:
self.img_list = [t.strip().split(',') for t in f.readlines()]
def get_img(self, index):
assert 0 <= index < len(self.img_list), f"Index {index} is not available!"
root = self._root_path
mask_path = os.path.join(root, self.img_list[index][1])
rgb_path = os.path.join(root, self.img_list[index][0])
if self.img_list[index][1] == 'None':
mask = None
else:
mask = np.array(Image.open(mask_path).convert("L"))
mask[mask > 0] = 1
assert os.path.isfile(rgb_path)
return self._create_tensor(mask=mask, rgb_path=rgb_path) |