/
dataset.py
37 lines (26 loc) · 923 Bytes
/
dataset.py
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# python train.py --cuda --dataset aesthetics-full
from os import listdir
from os.path import join
import os
import torch.utils.data as data
from util import is_image_file, load_img
from pandas import HDFStore
import numpy as np
import torch
import random
from PIL import Image
class DatasetFromFolder(data.Dataset):
def __init__(self, image_dir, transform=None):
super(DatasetFromFolder, self).__init__()
self.image_dir = image_dir
self.image_filenames = [ x for x in listdir(image_dir) if is_image_file(x)]
if transform:
self.transform = transform
def __getitem__(self, index):
# Load Image
image = Image.open(join(self.image_dir, self.image_filenames[index])).convert('RGB')
if self.transform is not None:
image = self.transform(image)
return image
def __len__(self):
return len(self.image_filenames)