{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2lpyuBqXKTtq"
      },
      "source": [
        "## $\\large{Quiz}$"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b2ySR-zAKTtu"
      },
      "source": [
        "請將左圖中的龍貓完成底下這幾個影像處理，以得到右圖<br>\n",
        "1. 以一半影像長、寬減 1 的 index 作為中心點，將旋轉 45 度角\n",
        "2. 使用鏡像反射補值法\n",
        "3. 將影像放大 2 倍\n",
        "\n",
        "![](https://hackmd.io/_uploads/rkOHU2DG6.png)\n"
      ]
    },
    {
      "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": "h65aeBmzKTtv"
      },
      "outputs": [],
      "source": [
        "path = \"totoro.png\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nMh7rtR-KTtw"
      },
      "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": "vFmqH8ZJKTtw"
      },
      "outputs": [],
      "source": [
        "import cv2\n",
        "import numpy as np\n",
        "quiz_img = cv2.imread(\"totoro_ans.png\")[:,:,::-1]\n",
        "assert np.array_equiv(load_img(path), quiz_img)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Echlst-dNPFq"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "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": "3.7.12"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}