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65 lines
2.2 KiB
65 lines
2.2 KiB
import os
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import io
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import torch
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from timm.utils.misc import natural_key
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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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def find_images_and_targets(folder, types=IMG_EXTENSIONS, class_to_idx=None, leaf_name_only=True, sort=True):
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labels = []
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filenames = []
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for root, subdirs, files in os.walk(folder, topdown=False):
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rel_path = os.path.relpath(root, folder) if (root != folder) else ''
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label = os.path.basename(rel_path) if leaf_name_only else rel_path.replace(os.path.sep, '_')
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for f in files:
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base, ext = os.path.splitext(f)
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if ext.lower() in types:
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filenames.append(os.path.join(root, f))
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labels.append(label)
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if class_to_idx is None:
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# building class index
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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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images_and_targets = [(f, class_to_idx[l]) for f, l in zip(filenames, labels) if l in class_to_idx]
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if sort:
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images_and_targets = sorted(images_and_targets, key=lambda k: natural_key(k[0]))
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return images_and_targets, class_to_idx
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class ParserImageFolder(Parser):
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def __init__(
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self,
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root,
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class_map=''):
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super().__init__()
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self.root = root
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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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self.samples, self.class_to_idx = find_images_and_targets(root, class_to_idx=class_to_idx)
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if len(self.samples) == 0:
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raise RuntimeError(
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f'Found 0 images in subfolders of {root}. Supported image extensions are {", ".join(IMG_EXTENSIONS)}')
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def __getitem__(self, index):
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path, target = self.samples[index]
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return open(path, 'rb'), 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]
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if basename:
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filename = os.path.basename(filename)
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elif not absolute:
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filename = os.path.relpath(filename, self.root)
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return filename
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