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"cells": [
{
"cell_type": "code",
"execution_count": 5,
"id": "a745b33b",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import shutil\n",
"\n",
"# 原始資料所在的根目錄（包含 2、3、7、10 等子資料夾）\n",
"root = \"class01\"\n",
"\n",
"# 整理後的資料集輸出位置\n",
"out_img = \"dataset/images\" # 用來存放所有圖片\n",
"out_label = \"dataset/label.txt\" # 用來存放合併後的標註檔\n",
"\n",
"# 先確保輸出資料夾存在\n",
"os.makedirs(out_img, exist_ok=True)\n",
"\n",
"# 開啟輸出的 label.txt 準備寫入\n",
"with open(out_label, \"w\", encoding=\"utf-8\") as fout:\n",
"\n",
" # 走訪 root 底下所有子資料夾（例如 2、3、10、11…）\n",
" for folder in sorted(os.listdir(root)):\n",
" folder_path = os.path.join(root, folder)\n",
"\n",
" # 每個子資料夾裡的 PPOCR 標註檔名稱固定為 Label.txt\n",
" label_file = os.path.join(folder_path, \"Label.txt\")\n",
"\n",
" # 如果該子資料夾真的有 Label.txt → 才處理\n",
" if os.path.isfile(label_file):\n",
"\n",
" # 讀取這個子資料夾的 Label.txt\n",
" with open(label_file, \"r\", encoding=\"utf-8\") as fin:\n",
" for line in fin:\n",
"\n",
" # 每一行格式為：圖片相對路徑 + 標註 JSON\n",
" # e.g. \"10/class01_10_001.jpg [ {...}, {...} ]\"\n",
" img_rel, ann = line.strip().split(\"\\t\", 1)\n",
"\n",
" # 取得圖片原始檔（實際位置）\n",
" # img_rel 有可能包含路徑 10/class01_10_xxx.jpg → 我們只取檔案名\n",
" img_name = img_rel.split(\"/\")[-1]\n",
" img_src = os.path.join(folder_path, img_name)\n",
"\n",
" # 設定圖片輸出位置（統一搬到 dataset/images/)\n",
" img_dst = os.path.join(out_img, img_name)\n",
"\n",
" # 如果圖片真的存在才複製\n",
" if os.path.exists(img_src):\n",
" shutil.copy(img_src, img_dst)\n",
"\n",
" # 將標註寫入整合後的 label.txt\n",
" # 格式改成 dataset 可讀形式：images/檔名 + 標註 JSON\n",
" fout.write(f\"images/{img_name}\\t{ann}\\n\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "e336ad20",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/Users/jiangyanhong/Desktop/data/作文資料\n"
]
}
],
"source": [
"import os\n",
"print(os.getcwd())"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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