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67 lines
2.2 KiB
67 lines
2.2 KiB
import os
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import io
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import torch
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import tarfile
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from .parser import Parser
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from .class_map import load_class_map
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from .constants import IMG_EXTENSIONS
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from PIL import Image
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from timm.utils.misc import natural_key
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def extract_tar_info(tarfile, class_to_idx=None, sort=True):
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files = []
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labels = []
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for ti in tarfile.getmembers():
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if not ti.isfile():
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continue
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dirname, basename = os.path.split(ti.path)
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label = os.path.basename(dirname)
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ext = os.path.splitext(basename)[1]
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if ext.lower() in IMG_EXTENSIONS:
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files.append(ti)
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labels.append(label)
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if class_to_idx is None:
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unique_labels = set(labels)
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sorted_labels = list(sorted(unique_labels, key=natural_key))
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class_to_idx = {c: idx for idx, c in enumerate(sorted_labels)}
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tarinfo_and_targets = [(f, class_to_idx[l]) for f, l in zip(files, labels) if l in class_to_idx]
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if sort:
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tarinfo_and_targets = sorted(tarinfo_and_targets, key=lambda k: natural_key(k[0].path))
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return tarinfo_and_targets, class_to_idx
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class ParserImageTar(Parser):
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def __init__(self, root, load_bytes=False, class_map=''):
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super().__init__()
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class_to_idx = None
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if class_map:
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class_to_idx = load_class_map(class_map, root)
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assert os.path.isfile(root)
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self.root = root
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with tarfile.open(root) as tf: # cannot keep this open across processes, reopen later
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self.samples, self.class_to_idx = extract_tar_info(tf, class_to_idx)
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self.imgs = self.samples
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self.tarfile = None # lazy init in __getitem__
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self.load_bytes = load_bytes
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def __getitem__(self, index):
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if self.tarfile is None:
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self.tarfile = tarfile.open(self.root)
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tarinfo, target = self.samples[index]
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iob = self.tarfile.extractfile(tarinfo)
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img = iob.read() if self.load_bytes else Image.open(iob).convert('RGB')
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return img, target
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def __len__(self):
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return len(self.samples)
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def _filename(self, index, basename=False, absolute=False):
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filename = self.samples[index][0].name
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if basename:
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filename = os.path.basename(filename)
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return filename
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