{ "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 }