이미지 리사이즈 준비

resized_images/temp.py

@@ -0,0 +1 @@
+asd

test.ipynb

@@ -2,10 +2,19 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "ecf4c973",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "'sed'��(��) ���� �Ǵ� �ܺ� ����, ������ �� �ִ� ���α׷�, �Ǵ�\n",
+      "��ġ ������ �ƴմϴ�.\n"
+     ]
+    }
+   ],
    "source": [
     "# 설치된 라이브러리 txt로 추출하기\n",
     "!pip freeze | sed -E 's/ @ file:\\/\\/.*//' > clean_requirements.txt"
@@ -60,22 +69,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "False\n",
-      "0\n"
-     ]
-    },
-    {
-     "ename": "RuntimeError",
-     "evalue": "Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mRuntimeError\u001b[39m                              Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 5\u001b[39m\n\u001b[32m      3\u001b[39m \u001b[38;5;28mprint\u001b[39m(torch.cuda.is_available())  \u001b[38;5;66;03m# 👉 True면 GPU 사용 가능\u001b[39;00m\n\u001b[32m      4\u001b[39m \u001b[38;5;28mprint\u001b[39m(torch.cuda.device_count())  \u001b[38;5;66;03m# 👉 연결된 GPU 수\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m5\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[43mtorch\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcuda\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget_device_name\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m)  \u001b[38;5;66;03m# 👉 GPU 이름\u001b[39;00m\n",
-      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\human\\.conda\\envs\\portfolio\\Lib\\site-packages\\torch\\cuda\\__init__.py:544\u001b[39m, in \u001b[36mget_device_name\u001b[39m\u001b[34m(device)\u001b[39m\n\u001b[32m    532\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget_device_name\u001b[39m(device: Optional[_device_t] = \u001b[38;5;28;01mNone\u001b[39;00m) -> \u001b[38;5;28mstr\u001b[39m:\n\u001b[32m    533\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33mr\u001b[39m\u001b[33;03m\"\"\"Get the name of a device.\u001b[39;00m\n\u001b[32m    534\u001b[39m \n\u001b[32m    535\u001b[39m \u001b[33;03m    Args:\u001b[39;00m\n\u001b[32m   (...)\u001b[39m\u001b[32m    542\u001b[39m \u001b[33;03m        str: the name of the device\u001b[39;00m\n\u001b[32m    543\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m544\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mget_device_properties\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m)\u001b[49m.name\n",
-      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\human\\.conda\\envs\\portfolio\\Lib\\site-packages\\torch\\cuda\\__init__.py:576\u001b[39m, in \u001b[36mget_device_properties\u001b[39m\u001b[34m(device)\u001b[39m\n\u001b[32m    564\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mget_device_properties\u001b[39m(device: Optional[_device_t] = \u001b[38;5;28;01mNone\u001b[39;00m) -> _CudaDeviceProperties:\n\u001b[32m    565\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33mr\u001b[39m\u001b[33;03m\"\"\"Get the properties of a device.\u001b[39;00m\n\u001b[32m    566\u001b[39m \n\u001b[32m    567\u001b[39m \u001b[33;03m    Args:\u001b[39;00m\n\u001b[32m   (...)\u001b[39m\u001b[32m    574\u001b[39m \u001b[33;03m        _CudaDeviceProperties: the properties of the device\u001b[39;00m\n\u001b[32m    575\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m576\u001b[39m     \u001b[43m_lazy_init\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# will define _get_device_properties\u001b[39;00m\n\u001b[32m    577\u001b[39m     device = _get_device_index(device, optional=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m    578\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m device < \u001b[32m0\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m device >= device_count():\n",
-      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\human\\.conda\\envs\\portfolio\\Lib\\site-packages\\torch\\cuda\\__init__.py:372\u001b[39m, in \u001b[36m_lazy_init\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m    370\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m\"\u001b[39m\u001b[33mCUDA_MODULE_LOADING\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m os.environ:\n\u001b[32m    371\u001b[39m     os.environ[\u001b[33m\"\u001b[39m\u001b[33mCUDA_MODULE_LOADING\u001b[39m\u001b[33m\"\u001b[39m] = \u001b[33m\"\u001b[39m\u001b[33mLAZY\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m372\u001b[39m \u001b[43mtorch\u001b[49m\u001b[43m.\u001b[49m\u001b[43m_C\u001b[49m\u001b[43m.\u001b[49m\u001b[43m_cuda_init\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    373\u001b[39m \u001b[38;5;66;03m# Some of the queued calls may reentrantly call _lazy_init();\u001b[39;00m\n\u001b[32m    374\u001b[39m \u001b[38;5;66;03m# we need to just return without initializing in that case.\u001b[39;00m\n\u001b[32m    375\u001b[39m \u001b[38;5;66;03m# However, we must not let any *other* threads in!\u001b[39;00m\n\u001b[32m    376\u001b[39m _tls.is_initializing = \u001b[38;5;28;01mTrue\u001b[39;00m\n",
-      "\u001b[31mRuntimeError\u001b[39m: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx"
+      "True\n",
+      "1\n",
+      "NVIDIA GeForce GTX 1070 Ti\n"
      ]
     }
    ],
@@ -2712,6 +2708,16 @@
     "# GPU 지원 버전으로 다시 설치\n",
     "!pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "36fa8394",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 이미지 크기 64x64로 변경 (input_images -> resized_images)"
+   ]
   }
  ],
  "metadata": {