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Colab: git clone で GIT_TERMINAL_PROMPT=0 を使用して認証エラーを回避
Made-with: Cursor
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Lines changed: 55 additions & 43 deletions

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‎MediSeg_AI_Colab.ipynb‎

Lines changed: 55 additions & 43 deletions
Original file line numberDiff line numberDiff line change
@@ -32,28 +32,38 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# リポジトリのクローン\n",
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"# このリポジトリ (shingo257/MediSeg-AI) をクローン。フォークした場合は URL を書き換えてください。\n",
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"# GIT_TERMINAL_PROMPT=0 で Colab 環境での認証プロンプトエラーを防ぐ\n",
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"REPO_URL = \"https://github.com/shingo257/MediSeg-AI.git\"\n",
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"REPO_DIR = \"/content/MediSeg-AI\"\n",
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"\n",
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"import os\n",
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"if not os.path.exists(REPO_DIR):\n",
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" !git clone {REPO_URL} {REPO_DIR}\n",
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" print(\"Repository cloned\")\n",
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" import subprocess\n",
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" r = subprocess.run(\n",
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" [\"git\", \"clone\", REPO_URL, REPO_DIR],\n",
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" env={**os.environ, \"GIT_TERMINAL_PROMPT\": \"0\"},\n",
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" capture_output=True,\n",
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" text=True,\n",
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" )\n",
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" if r.returncode == 0:\n",
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" print(\"Repository cloned\")\n",
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" else:\n",
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" print(\"Clone failed:\", r.stderr or r.stdout)\n",
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" raise SystemExit(r.returncode)\n",
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"else:\n",
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" print(\"Repository already exists\")\n"
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]
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" print(\"Repository already exists\")\n",
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""
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 作業ディレクトリに移動\n",
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"import os\n",
@@ -68,7 +78,9 @@
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"# セットアップスクリプトの実行\n",
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"print(\"\\n🔧 Running setup script...\")\n",
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"!python colab_setup.py\n"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -83,9 +95,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Google Driveのマウント\n",
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"try:\n",
@@ -103,7 +113,9 @@
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"except Exception as e:\n",
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" print(f'⚠️ Google Drive mount failed: {e}')\n",
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" print(' Continuing without Drive (data will be lost when session ends)')\n"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -119,9 +131,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# ngrokトークンを設定（オプション）\n",
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"# ⚠️ ここにngrokトークンを貼り付けてください\n",
@@ -132,7 +142,9 @@
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"else:\n",
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" print(\"⚠️ No ngrok token - using local access only\")\n",
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" print(\" Get free token at: https://dashboard.ngrok.com/get-started/your-authtoken\")\n"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -145,9 +157,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# GPUの確認\n",
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"import torch\n",
@@ -168,7 +178,9 @@
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" _token = \"\"\n",
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"from colab_launcher import launch_web_gui\n",
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"launch_web_gui(ngrok_token=_token if _token else None)\n"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -181,9 +193,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# デモ（データ不要・数秒で完了）\n",
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"!python main.py demo\n",
@@ -193,7 +203,9 @@
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"# d = RealDatasetDownloader(data_dir=\"/content/MediSeg-AI/data\")\n",
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"# d.download_dataset(\"medical_small\")\n",
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"# !python main.py train-medical --data-dir /content/MediSeg-AI/data/medical_small --save-dir /content/MediSeg-AI/results"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -290,9 +302,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# システム情報の表示\n",
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"import torch\n",
@@ -341,7 +351,9 @@
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" print(f\"\\n⚠️ Could not load dataset information: {e}\")\n",
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"\n",
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"print(\"=\"*60)\n"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -354,9 +366,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# データセットのダウンロード\n",
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"# ⚠️ データセットによっては時間がかかります\n",
@@ -382,7 +392,9 @@
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"\n",
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"# 例: 小さな医療データセットをダウンロード（コメントアウトを外して実行）\n",
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"# downloader.download_dataset('medical_small')\n"
385-
]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
@@ -395,9 +407,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# メモリ管理ヘルパー関数\n",
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"\n",
@@ -440,7 +450,9 @@
440450
"print(\"✅ Memory management functions loaded\")\n",
441451
"print(\" Use clear_memory() to free memory\")\n",
442452
"print(\" Use show_memory_usage() to check GPU memory\")\n"
443-
]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 環境テスト: すべてのコンポーネントが正しく動作するか確認\n",
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"\n",
@@ -528,7 +538,9 @@
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"\n",
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"print(\"=\"*60)\n",
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"print(\"✅ Environment test complete!\")\n"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 便利なヘルパー関数\n",
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"\n",
@@ -616,7 +626,9 @@
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"print(\" - load_from_drive(file_name): Load file from Google Drive\")\n",
617627
"print(\" - check_session_time(): Check session information\")\n",
618628
"print(\" - list_files(directory): List files in directory\")\n"
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]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 使用例: 画像のセグメンテーション処理\n",
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"\n",
@@ -668,13 +678,13 @@
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"\n",
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"# 実行（コメントアウトを外して実行）\n",
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"# example_segmentation()\n"
671-
]
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# クイックスタート: すべてのセットアップを一度に実行\n",
680690
"# ⚠️ 上記のセルを個別に実行することを推奨します\n",
@@ -705,7 +715,9 @@
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"NGROK_TOKEN = \"\" # オプション: ngrokトークンを設定\n",
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"from colab_launcher import launch_web_gui\n",
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"launch_web_gui(ngrok_token=NGROK_TOKEN if NGROK_TOKEN else None)\n"
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]
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],
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"execution_count": null,
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"outputs": []
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}
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],
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"metadata": {
@@ -715,4 +727,4 @@
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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}

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