Eval 데이터셋 생성 Notebook 추가

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ahead-paste",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from glob import glob\n",
+    "import cv2\n",
+    "\n",
+    "images = sorted(glob(\"./tennis_test_1080p/*.png\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "rapid-tension",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "Path(\"./dataset/Urban100/x2\").mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "visible-texas",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 125/125 [00:18<00:00,  6.61it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tqdm import tqdm\n",
+    "for image in tqdm(images):\n",
+    "    hr = cv2.imread(image, cv2.IMREAD_COLOR)\n",
+    "    lr = cv2.resize(hr, dsize=(960, 540), interpolation=cv2.INTER_CUBIC)\n",
+    "\n",
+    "    cv2.imwrite(\"./dataset/Urban100/x2/\" + Path(image).stem + \"_HR.png\", hr)\n",
+    "    cv2.imwrite(\"./dataset/Urban100/x2/\" + Path(image).stem + \"_LR.png\", lr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fallen-religion",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}