Sergio Jimenez Jimenez
68efb27a1e
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74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
# Imports
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import os
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from PIL import Image
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class ImageTextDataset:
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def __init__(self, root):
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self.samples = []
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for folder in sorted(os.listdir(root)):
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sub = os.path.join(root, folder)
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img_dir = os.path.join(sub, "img")
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txt_dir = os.path.join(sub, "txt")
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if not (os.path.isdir(img_dir) and os.path.isdir(txt_dir)):
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continue
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for fname in sorted(os.listdir(img_dir)):
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if not fname.lower().endswith((".png", ".jpg", ".jpeg")):
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continue
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img_path = os.path.join(img_dir, fname)
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# text file must have same name but .txt
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txt_name = os.path.splitext(fname)[0] + ".txt"
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txt_path = os.path.join(txt_dir, txt_name)
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if not os.path.exists(txt_path):
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continue
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self.samples.append((img_path, txt_path))
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def __len__(self):
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return len(self.samples)
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def __getitem__(self, idx):
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img_path, txt_path = self.samples[idx]
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# Load image
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image = Image.open(img_path).convert("RGB")
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# Load text
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with open(txt_path, "r", encoding="utf-8") as f:
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text = f.read()
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return image, text
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def get_output_path(self, idx, output_subdir, debugset_root="/app/debugset"):
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"""Get output path for saving OCR result to debugset folder.
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Args:
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idx: Sample index
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output_subdir: Subdirectory name (e.g., 'paddle_text', 'doctr_text')
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debugset_root: Root folder for debug output (default: /app/debugset)
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Returns:
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Path like /app/debugset/doc1/{output_subdir}/page_001.txt
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"""
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img_path, _ = self.samples[idx]
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# img_path: /app/dataset/doc1/img/page_001.png
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# Extract relative path: doc1/img/page_001.png
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parts = img_path.split("/dataset/", 1)
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if len(parts) == 2:
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rel_path = parts[1] # doc1/img/page_001.png
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else:
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rel_path = os.path.basename(img_path)
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# Replace /img/ with /{output_subdir}/
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rel_parts = rel_path.rsplit("/img/", 1)
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doc_folder = rel_parts[0] # doc1
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fname = os.path.splitext(rel_parts[1])[0] + ".txt" # page_001.txt
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out_dir = os.path.join(debugset_root, doc_folder, output_subdir)
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os.makedirs(out_dir, exist_ok=True)
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return os.path.join(out_dir, fname) |