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from PIL import Image
from pathlib import Path
import torch
import numpy as np
from tqdm import tqdm
class ImageWithPathDataset(torch.utils.data.Dataset):
def __init__(self, root_image_path, output_path, transform=None):
self.root_image_path = root_image_path
self.image_paths = list(root_image_path.glob("**/*.jpg"))
self.transform = transform
self.output_path = output_path
def __len__(self):
return len(self.image_paths)
def __getitem__(self, idx):
image_path = self.image_paths[idx]
image = Image.open(image_path).convert("RGB")
if self.transform:
image = self.transform(image)
output_emb_path = self.output_path / image_path.parent.relative_to(
self.root_image_path
)
output_emb_path.mkdir(exist_ok=True, parents=True)
output_emb_path = output_emb_path / image_path.stem
return image, output_emb_path
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