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--- |
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pretty_name: InkEraser |
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license: apache-2.0 |
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language: |
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- zh |
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- en |
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task_categories: |
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- image-to-image |
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size_categories: |
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- 1K<n<10K |
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tags: |
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- image-to-image |
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- inpainting |
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- handwriting |
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- paired-images |
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configs: |
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- config_name: default |
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drop_labels: true |
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--- |
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# ynyg/InkEraser |
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筆跡擦除數據集，用於將含有筆跡的圖像（source）轉換為去除筆跡的目標圖像（target）。 |
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## 文件結構 |
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``` |
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data/ |
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train/ |
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source/ # 原圖（含筆跡） |
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target/ # 目標（去筆跡） |
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val/ |
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source/ |
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target/ |
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``` |
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## 配對規則 |
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- `source/` 與 `target/` 中使用**完全相同的文件名**進行一一對應。 |
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- 圖像格式：`.jpg`。 |
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## 數據量（當前倉庫） |
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- train：1511 對 |
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- val：115 對 |
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- 合計：1626 對 |
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## 使用示例（Python） |
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```python |
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from huggingface_hub import snapshot_download |
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from pathlib import Path |
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from PIL import Image |
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root = Path(snapshot_download("ynyg/InkEraser", repo_type="dataset")) |
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for split in ["train", "val"]: |
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src_dir = root / "data" / split / "source" |
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tgt_dir = root / "data" / split / "target" |
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for src_path in src_dir.glob("*.jpg"): |
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tgt_path = tgt_dir / src_path.name |
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# 成對讀取 |
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src_img = Image.open(src_path) |
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tgt_img = Image.open(tgt_path) |
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# TODO: your training code |
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``` |
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## 授權 |
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Apache-2.0 |
