pil_crop.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPcbPFaO0z3YCWatWWcmmQM",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/hihunjin/Code-snippet-for-everything/blob/main/pil_crop.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "dMr3Smus1Xvb"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "from PIL import Image\n",
        "\n",
        "imarray = np.random.rand(100,100,3) * 255\n",
        "im = Image.fromarray(imarray.astype('uint8')).convert('RGBA')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "im"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 117
        },
        "id": "n02WAXhK1bAj",
        "outputId": "c558481c-2a0b-416f-8bb9-d6326c45a6d4"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGBA size=100x100 at 0x7F97056B09D0>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "im.size"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jgPwsaMV1cop",
        "outputId": "94fdff44-c56a-4151-ef52-9bd70be76178"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(100, 100)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "out = im.crop((-3, -3, 10, 10))\n",
        "out2 = im.crop((0, 0, 13, 13))"
      ],
      "metadata": {
        "id": "a1gZLbN41dWL"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "out.size"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5JpxUllQ1eBu",
        "outputId": "adb85972-2c79-41f2-a37e-916f739260bf"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(13, 13)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "display(out)\n",
        "display(out2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "X__iaOI-1evh",
        "outputId": "96974635-ea8a-4099-805c-957fea5a014b"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGBA size=13x13 at 0x7F9701BB4D10>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGBA size=13x13 at 0x7F9701BB4D90>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* 0값으로 채워짐"
      ],
      "metadata": {
        "id": "iooOp8Z314y_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(np.array(out))\n",
        "print(\"==============\")\n",
        "print(np.array(out2))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YrdPdK081gtm",
        "outputId": "9ebb4d34-6668-4b7f-93a7-d2f1c2abb3d2"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[[  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]]\n",
            "\n",
            " [[  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]]\n",
            "\n",
            " [[  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
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            "  [  0   0   0   0]]\n",
            "\n",
            " [[  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [204  95 173 255]\n",
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            "  [ 46  51 190 255]\n",
            "  [124 127 175 255]\n",
            "  [ 66 161  61 255]\n",
            "  [232 142 215 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [ 31 252  28 255]\n",
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            "  [210 146 253 255]\n",
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            "  [138   9 141 255]\n",
            "  [ 62 187 232 255]\n",
            "  [  9 121  67 255]\n",
            "  [ 15 202 229 255]\n",
            "  [157 199 225 255]\n",
            "  [221  92 223 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
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            "  [  0   0   0   0]\n",
            "  [132 227 163 255]\n",
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            "  [184  28  75 255]\n",
            "  [ 58 161  75 255]\n",
            "  [ 25  22  11 255]\n",
            "  [ 79 149  47 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
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            "  [  0   0   0   0]\n",
            "  [189 131 197 255]\n",
            "  [248  36 183 255]\n",
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            "  [195 216 191 255]\n",
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            "  [228 100  92 255]\n",
            "  [178 224 153 255]\n",
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            "  [125  44 158 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
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            "  [ 45  28  89 255]\n",
            "  [ 93  91 103 255]\n",
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            "  [100  18  30 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
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            "  [251 189 246 255]\n",
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            "\n",
            " [[  0   0   0   0]\n",
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            "  [  0   0   0   0]\n",
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            "  [242  55  98 255]\n",
            "  [ 88 222  48 255]\n",
            "  [157 143  16 255]\n",
            "  [ 78 138 176 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
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            "  [  0   0   0   0]\n",
            "  [191 110 165 255]\n",
            "  [ 52  15 213 255]\n",
            "  [132 162  34 255]\n",
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            "  [ 45  44  73 255]\n",
            "  [ 77 145  49 255]\n",
            "  [142   4 140 255]\n",
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            "  [ 60 234 126 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
            "  [148   4 167 255]\n",
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            "  [182 220 108 255]\n",
            "  [233  69  51 255]\n",
            "  [ 79   1  20 255]\n",
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            "  [161  25 168 255]]\n",
            "\n",
            " [[  0   0   0   0]\n",
            "  [  0   0   0   0]\n",
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            "  [ 98 229 104 255]\n",
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            "  [195 189 124 255]\n",
            "  [191 114 247 255]\n",
            "  [194   4 224 255]\n",
            "  [178 176 101 255]]]\n",
            "==============\n",
            "[[[204  95 173 255]\n",
            "  [204 212 152 255]\n",
            "  [202 185 112 255]\n",
            "  [ 34 113 235 255]\n",
            "  [ 76 173 111 255]\n",
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            "  [232 142 215 255]\n",
            "  [ 46 244 130 255]\n",
            "  [ 51 134 116 255]\n",
            "  [172   5 139 255]]\n",
            "\n",
            " [[ 31 252  28 255]\n",
            "  [182  51 172 255]\n",
            "  [210 146 253 255]\n",
            "  [237 241  93 255]\n",
            "  [138   9 141 255]\n",
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            "  [ 15 202 229 255]\n",
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            "  [221  92 223 255]\n",
            "  [ 95 184 196 255]\n",
            "  [ 35  54 171 255]\n",
            "  [150  91  83 255]]\n",
            "\n",
            " [[132 227 163 255]\n",
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            "  [ 56  79 219 255]\n",
            "  [125 204 246 255]\n",
            "  [218 107  84 255]\n",
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            "  [ 58 161  75 255]\n",
            "  [ 25  22  11 255]\n",
            "  [ 79 149  47 255]\n",
            "  [245 245 161 255]\n",
            "  [ 13 224 146 255]\n",
            "  [229 141 118 255]]\n",
            "\n",
            " [[189 131 197 255]\n",
            "  [248  36 183 255]\n",
            "  [ 73  27  58 255]\n",
            "  [195 216 191 255]\n",
            "  [ 47 236 197 255]\n",
            "  [  5  84  98 255]\n",
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            "  [125  44 158 255]\n",
            "  [254 152 217 255]\n",
            "  [109 167 160 255]\n",
            "  [198 200 176 255]]\n",
            "\n",
            " [[ 46  39  62 255]\n",
            "  [168 133  27 255]\n",
            "  [229 138 247 255]\n",
            "  [ 98 204 121 255]\n",
            "  [ 50 155  27 255]\n",
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            "  [ 45  28  89 255]\n",
            "  [ 93  91 103 255]\n",
            "  [229 126 130 255]\n",
            "  [100  18  30 255]\n",
            "  [ 97   3 210 255]\n",
            "  [ 53  79  16 255]\n",
            "  [140  40 149 255]]\n",
            "\n",
            " [[180 122 144 255]\n",
            "  [ 54  74  54 255]\n",
            "  [153 109 204 255]\n",
            "  [201 220  42 255]\n",
            "  [188  82 118 255]\n",
            "  [182 235 234 255]\n",
            "  [105  32 248 255]\n",
            "  [251 189 246 255]\n",
            "  [ 90  59 173 255]\n",
            "  [  1 220 218 255]\n",
            "  [ 25 154 203 255]\n",
            "  [ 25 224  82 255]\n",
            "  [ 78  76 223 255]]\n",
            "\n",
            " [[ 78 240 157 255]\n",
            "  [204  78   7 255]\n",
            "  [218  34  85 255]\n",
            "  [249 199  50 255]\n",
            "  [186 212  38 255]\n",
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            "  [242  55  98 255]\n",
            "  [ 88 222  48 255]\n",
            "  [157 143  16 255]\n",
            "  [ 78 138 176 255]\n",
            "  [ 99 123  75 255]\n",
            "  [207  36  40 255]\n",
            "  [ 14 248 125 255]]\n",
            "\n",
            " [[191 110 165 255]\n",
            "  [ 52  15 213 255]\n",
            "  [132 162  34 255]\n",
            "  [ 46   9  62 255]\n",
            "  [128  79  77 255]\n",
            "  [ 45  44  73 255]\n",
            "  [ 77 145  49 255]\n",
            "  [142   4 140 255]\n",
            "  [186  12  68 255]\n",
            "  [ 60 234 126 255]\n",
            "  [182  48 161 255]\n",
            "  [115 129 204 255]\n",
            "  [ 29  39   1 255]]\n",
            "\n",
            " [[148   4 167 255]\n",
            "  [130 237  46 255]\n",
            "  [168  42 236 255]\n",
            "  [  7 211  55 255]\n",
            "  [238  75  74 255]\n",
            "  [182 220 108 255]\n",
            "  [233  69  51 255]\n",
            "  [ 79   1  20 255]\n",
            "  [109  96   1 255]\n",
            "  [161  25 168 255]\n",
            "  [190 210 163 255]\n",
            "  [ 34  55  10 255]\n",
            "  [203 242 171 255]]\n",
            "\n",
            " [[ 98 229 104 255]\n",
            "  [212 122 199 255]\n",
            "  [ 53 121 229 255]\n",
            "  [102 212   9 255]\n",
            "  [137 230 115 255]\n",
            "  [202   2 135 255]\n",
            "  [195 189 124 255]\n",
            "  [191 114 247 255]\n",
            "  [194   4 224 255]\n",
            "  [178 176 101 255]\n",
            "  [ 70 204  15 255]\n",
            "  [224 207 159 255]\n",
            "  [ 24 184  20 255]]\n",
            "\n",
            " [[ 81  39 155 255]\n",
            "  [ 27 151  40 255]\n",
            "  [212 194 125 255]\n",
            "  [102 192  93 255]\n",
            "  [177  10 206 255]\n",
            "  [156 114 239 255]\n",
            "  [160   0 159 255]\n",
            "  [ 71 196  75 255]\n",
            "  [ 50 235  74 255]\n",
            "  [ 99 107 100 255]\n",
            "  [103 200 140 255]\n",
            "  [170   5  18 255]\n",
            "  [213 248 104 255]]\n",
            "\n",
            " [[ 80 132 184 255]\n",
            "  [249 138  27 255]\n",
            "  [ 29 228  81 255]\n",
            "  [143 141 129 255]\n",
            "  [160 136  88 255]\n",
            "  [181 127 133 255]\n",
            "  [106 221 251 255]\n",
            "  [ 72 172 114 255]\n",
            "  [232 178  67 255]\n",
            "  [ 14 173  51 255]\n",
            "  [239 147 238 255]\n",
            "  [203 247 133 255]\n",
            "  [ 77  74 249 255]]\n",
            "\n",
            " [[162  61 187 255]\n",
            "  [ 53  84 250 255]\n",
            "  [ 81 219 227 255]\n",
            "  [243 246 231 255]\n",
            "  [115  65  80 255]\n",
            "  [254 126 122 255]\n",
            "  [ 80  40 252 255]\n",
            "  [151  34 125 255]\n",
            "  [137 189 248 255]\n",
            "  [ 11  92 132 255]\n",
            "  [210 101  20 255]\n",
            "  [233 124 221 255]\n",
            "  [148  84  96 255]]]\n"
          ]
        }
      ]
    }
  ]
}