{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dkDVPxxu6JPf"
   },
   "source": [
    "## $\\large{Quiz}$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ENJLS4vq6JPh"
   },
   "source": [
    "請使用 Laplacian Filter 將跑車的輪廓找出來<br>\n",
    "\n",
    "<img src=\"https://drive.google.com/uc?export=view&id=13i8nSfDxiub6XQB0oMua6RcybWWEQdsr\" width=\"400\">  <img src=\"https://drive.google.com/uc?export=view&id=1iYWVAYf6gB5cHrzLikhkAgG9GFQ7h3Jo\" width=\"400\">\n",
    "\n",
    "Laplacian Filter (5x5)：\n",
    "$\\begin{bmatrix}\n",
    "0 & 0 &-1 & 0 & 0 \\\\\n",
    "0 & -1 & -2 & -1 & 0\\\\\n",
    "-1 & -2 & 16 & -2 & -1\\\\\n",
    "0 & -1 & -2 & -1 & 0\\\\\n",
    "0 & 0 &-1 & 0 & 0\n",
    "\\end{bmatrix}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "rZ65aUaxN4Mg"
   },
   "outputs": [],
   "source": [
    "# upload Data\n",
    "!wget -q https://github.com/TA-aiacademy/course_3.0/releases/download/CVCNN_Data/CVCNN_part1.zip\n",
    "!unzip -q CVCNN_part1.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "jATKig6n_gpX"
   },
   "outputs": [],
   "source": [
    "path = \"car.png\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "XSJTKs4J6JPj"
   },
   "outputs": [],
   "source": [
    "def load_img(path):\n",
    "    \n",
    "    \"請寫下你如何作開檔及影像處理\"\n",
    "  \n",
    "  \n",
    "    return \"請回傳一張影像\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "sI1YfQF46JPj"
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "quiz_img = cv2.imread(\"car_ans.png\")[:,:,::-1]\n",
    "assert np.array_equiv(load_img(path), quiz_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "DaBERNzp9cW3"
   },
   "outputs": [],
   "source": []
  }
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