unstructured/examples/custom-layout-order/visualise_and_reorder.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8c7a952c-1b24-4e6f-843c-bd01cf02ea37",
   "metadata": {},
   "source": [
    "The purpose of this notebook is to provide two helper methods (plot and reorder) that can be customised to fit specific document layouts. This type of solutions only apply to textual-images (jpeg or png)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c621f72-9e15-41c5-98c0-d999da295b90",
   "metadata": {},
   "source": [
    "### Dependencies and Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f49030e9-81e4-4fae-99ec-19be2ee8e610",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "from unstructured_inference.inference.layout import DocumentLayout\n",
    "from PIL import Image\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "47fb2b0b-7d86-443b-9fe3-e993d38aa24b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_image_with_bounding_boxes_coloured(\n",
    "    image_path, bounding_boxes, text_labels=None, desired_width=None\n",
    "):\n",
    "    # Load the image\n",
    "    image = Image.open(image_path)\n",
    "\n",
    "    if desired_width:\n",
    "        # Calculate the desired height based on the original aspect ratio\n",
    "        aspect_ratio = image.width / image.height\n",
    "        desired_height = desired_width / aspect_ratio\n",
    "\n",
    "        # Create a figure with the desired size and aspect ratio\n",
    "        fig, ax = plt.subplots(figsize=(desired_width, desired_height))\n",
    "    else:\n",
    "        # Create figure and axes\n",
    "        fig, ax = plt.subplots()\n",
    "\n",
    "    # Display the image\n",
    "    ax.imshow(image)\n",
    "\n",
    "    # Split the image vertically\n",
    "    image_width = image.width\n",
    "    vertical_line_x = image_width // 2\n",
    "\n",
    "    # Add bounding boxes and custom text labels to the plot\n",
    "    for bbox, label in zip(bounding_boxes, text_labels):\n",
    "        # Extract coordinates\n",
    "        x_min, y_min = bbox[0]\n",
    "        x_max, y_max = bbox[2]\n",
    "\n",
    "        # Calculate width and height\n",
    "        width = x_max - x_min\n",
    "        height = y_max - y_min\n",
    "\n",
    "        # Create a rectangle patch\n",
    "        rect = patches.Rectangle(\n",
    "            (x_min, y_min), width, height, linewidth=1, edgecolor=\"black\", facecolor=\"none\"\n",
    "        )\n",
    "\n",
    "        # Determine the color based on the position of the bounding box\n",
    "        if x_min < vertical_line_x and x_max < vertical_line_x:\n",
    "            # Left side: color is red\n",
    "            rect.set_edgecolor(\"red\")\n",
    "            rect.set_facecolor((1.0, 0.0, 0.0, 0.05))\n",
    "\n",
    "            # Add the rectangle to the plot\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            # Add custom text label above the bounding box\n",
    "            ax.text(\n",
    "                x_min,\n",
    "                y_min - 5,\n",
    "                label,\n",
    "                fontsize=12,\n",
    "                weight=\"bold\",\n",
    "                color=\"red\",\n",
    "                bbox=dict(\n",
    "                    facecolor=(1.0, 1.0, 1.0, 0.8), edgecolor=(0.95, 0.95, 0.95, 0.0), pad=0.5\n",
    "                ),\n",
    "            )\n",
    "\n",
    "        elif x_min > vertical_line_x and x_max > vertical_line_x:\n",
    "            # Right side: color is blue\n",
    "            rect.set_edgecolor(\"blue\")\n",
    "            rect.set_facecolor((0.0, 0.0, 1.0, 0.05))\n",
    "\n",
    "            # Add the rectangle to the plot\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            # Add custom text label above the bounding box\n",
    "            ax.text(\n",
    "                x_min,\n",
    "                y_min - 5,\n",
    "                label,\n",
    "                fontsize=12,\n",
    "                weight=\"bold\",\n",
    "                color=\"blue\",\n",
    "                bbox=dict(\n",
    "                    facecolor=(1.0, 1.0, 1.0, 0.8), edgecolor=(0.95, 0.95, 0.95, 0.0), pad=0.5\n",
    "                ),\n",
    "            )\n",
    "\n",
    "        else:\n",
    "            # Spanning both sides: color is green\n",
    "            rect.set_edgecolor(\"green\")\n",
    "            rect.set_facecolor((0.0, 1.0, 0.0, 0.05))\n",
    "\n",
    "            # Add the rectangle to the plot\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            # Add custom text label above the bounding box\n",
    "            ax.text(\n",
    "                x_min,\n",
    "                y_min - 5,\n",
    "                label,\n",
    "                fontsize=12,\n",
    "                weight=\"bold\",\n",
    "                color=\"green\",\n",
    "                bbox=dict(\n",
    "                    facecolor=(1.0, 1.0, 1.0, 0.8), edgecolor=(0.95, 0.95, 0.95, 0.0), pad=0.5\n",
    "                ),\n",
    "            )\n",
    "\n",
    "    # Draw the vertical line to split the image\n",
    "    ax.axvline(x=vertical_line_x, color=\"black\", linestyle=\"--\", linewidth=1)\n",
    "\n",
    "    # Show the plot\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fc839a8d-d604-411a-a5e0-0ab849daf2f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def reorder_elements_in_double_columns(image_path, bounding_boxes):\n",
    "    # todo: if first element of left and\n",
    "\n",
    "    # Load the image\n",
    "    image = Image.open(image_path)\n",
    "\n",
    "    # Split the image vertically\n",
    "    image_width = image.width\n",
    "    vertical_line_x = image_width // 2\n",
    "\n",
    "    # Determine the order of the bounding boxes\n",
    "    left_boxes = []\n",
    "    right_boxes = []\n",
    "    both_sided_boxes = []\n",
    "\n",
    "    new_bounding_boxes_ix = []\n",
    "    for i, bbox in enumerate(bounding_boxes):\n",
    "        x_min = bbox[0][0]\n",
    "        x_max = bbox[-1][0]\n",
    "        if x_min < vertical_line_x and x_max < vertical_line_x:\n",
    "            left_boxes.append(i)\n",
    "        elif x_min > vertical_line_x and x_max > vertical_line_x:\n",
    "            right_boxes.append(i)\n",
    "        else:\n",
    "            both_sided_boxes.append(i)\n",
    "\n",
    "    # Create new order\n",
    "    new_bounding_boxes_ix.extend(both_sided_boxes)\n",
    "    new_bounding_boxes_ix.extend(left_boxes)\n",
    "    new_bounding_boxes_ix.extend(right_boxes)\n",
    "    return new_bounding_boxes_ix"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4d98f67-cb88-4d82-8fb9-8c4c735497d1",
   "metadata": {},
   "source": [
    "### Federal Regulation Documents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2e4de53c-ef60-4dfa-93b9-4c99045eef87",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Width: 1248\n",
      "Height: 1664\n"
     ]
    }
   ],
   "source": [
    "image_path = \"../../example-docs/double-column-A.jpg\"\n",
    "image = Image.open(image_path)\n",
    "layout = DocumentLayout.from_image_file(image_path)  # from_file for pdfs\n",
    "width, height = image.size\n",
    "print(\"Width:\", width)\n",
    "print(\"Height:\", height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "260bb85b-c753-43d4-a60b-906d8602781c",
   "metadata": {},
   "outputs": [],
   "source": [
    "elements = layout.pages[0].elements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "820d55b2-a12e-4eaa-ae0b-ead399e37371",
   "metadata": {},
   "outputs": [],
   "source": [
    "elements_coordinates = [e.to_dict()[\"coordinates\"] for e in elements]\n",
    "elements_types = [f\"{ix}: {e.to_dict()['type']}\" for ix, e in enumerate(elements, start=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3176c13e-e15c-4dbc-9890-8ed6dad8811a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x1920 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_image_with_bounding_boxes_coloured(\n",
    "    image_path, elements_coordinates, elements_types, desired_width=20\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3f4ec817-0521-44e7-a5b0-f9f28277c338",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 2, 3, 4, 6, 7, 11, 13, 1, 5, 8, 9, 10, 12]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_ixs = reorder_elements_in_double_columns(image_path, elements_coordinates)\n",
    "new_ixs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "17c4c481-b950-4be4-979b-06ce56595eba",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🔥 element index: 0\n",
      "{\n",
      "  \"coordinates\": [\n",
      "    [\n",
      "      387.199541015625,\n",
      "      369.36095448369565\n",
      "    ],\n",
      "    [\n",
      "      387.199541015625,\n",
      "      402.3356487771739\n",
      "    ],\n",
      "    [\n",
      "      855.3382690429688,\n",
      "      402.3356487771739\n",
      "    ],\n",
      "    [\n",
      "      855.3382690429688,\n",
      "      369.36095448369565\n",
      "    ]\n",
      "  ],\n",
      "  \"text\": \"SUBCHAPTER A\\u2014CIVIL SERVICE RULES\\n\",\n",
      "  \"type\": \"Title\"\n",
      "}\n",
      "\n",
      "🔥🔥 now is:\n",
      "{\n",
      "  \"coordinates\": [\n",
      "    [\n",
      "      387.199541015625,\n",
      "      369.36095448369565\n",
      "    ],\n",
      "    [\n",
      "      387.199541015625,\n",
      "      402.3356487771739\n",
      "    ],\n",
      "    [\n",
      "      855.3382690429688,\n",
      "      402.3356487771739\n",
      "    ],\n",
      "    [\n",
      "      855.3382690429688,\n",
      "      369.36095448369565\n",
      "    ]\n",
      "  ],\n",
      "  \"text\": \"SUBCHAPTER A\\u2014CIVIL SERVICE RULES\\n\",\n",
      "  \"type\": \"Title\"\n",
      "}\n",
      "\n",
      "🔥 element index: 1\n",
      "{\n",
      "  \"coordinates\": [\n",
      "    [\n",
      "      634.0365966796875,\n",
      "      438.10726147342996\n",
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      "    [\n",
      "      634.0365966796875,\n",
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      "    ],\n",
      "    [\n",
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      "    ],\n",
      "    [\n",
      "      980.589873046875,\n",
      "      438.10726147342996\n",
      "    ]\n",
      "  ],\n",
      "  \"text\": \"(c) Competitive status shall mean basic\\neligibility to be noncompetitively se-\\nlected to fill a vacancy in a competi-\\ntive position. A competitive status\\nshall be acquired by career-conditional\\nor career appointment through open\\ncompetitive examination upon satis-\\nfactory completion of a probationary\\nperiod, or may be granted by statute,\\nexecutive order, or the Civil Service\\nRules without competitive examina-\\ntion. A person with competitive status\\nmay be promoted, transferred, reas-\\nsigned, reinstated, or demoted without\\ntaking an open competitive examina-\\ntion, subject to the conditions pre-\\nscribed by the Civil Service Rules and\\nRegulations.\\n\\n(a) An employee shall be considered\\n\",\n",
      "  \"type\": \"Text\"\n",
      "}\n",
      "\n",
      "🔥🔥 now is:\n",
      "{\n",
      "  \"coordinates\": [\n",
      "    [\n",
      "      262.8152014160156,\n",
      "      501.94208937198067\n",
      "    ],\n",
      "    [\n",
      "      262.8152014160156,\n",
      "      681.1295440821256\n",
      "    ],\n",
      "    [\n",
      "      612.7875476074219,\n",
      "      681.1295440821256\n",
      "    ],\n",
      "    [\n",
      "      612.7875476074219,\n",
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      "  \"text\": \"Sec.\\n\\n1.1 Positions and employees affected by the\\nrules in this subchapter.\\n\\n1.2 Extent of the competitive service.\\n\\n1.3 Definitions.\\n\\n1.4 Extent of the excepted service.\\n\\nU.S.C. 3301, 3302.\\n\\nSOURCE: 28 FR 10022, Sept. 14, 1963, unless\\notherwise noted.\\n\\nAUTHORITY:\\n\\n\",\n",
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      "  \"text\": \"Sec.\\n\\n1.1 Positions and employees affected by the\\nrules in this subchapter.\\n\\n1.2 Extent of the competitive service.\\n\\n1.3 Definitions.\\n\\n1.4 Extent of the excepted service.\\n\\nU.S.C. 3301, 3302.\\n\\nSOURCE: 28 FR 10022, Sept. 14, 1963, unless\\notherwise noted.\\n\\nAUTHORITY:\\n\\n\",\n",
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      "  \"text\": \"il\\n\\nThe rules in this subchapter shall\\napply to all positions in the competi-\\ntive service and to all incumbents of\\nsuch positions. Except as expressly pro-\\nvided in the rule concerned, the rules\\nin this subchapter shall not apply to\\npositions and employees in the ex-\\ncepted service.\\n\",\n",
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      "  \"text\": \"il\\n\\nThe rules in this subchapter shall\\napply to all positions in the competi-\\ntive service and to all incumbents of\\nsuch positions. Except as expressly pro-\\nvided in the rule concerned, the rules\\nin this subchapter shall not apply to\\npositions and employees in the ex-\\ncepted service.\\n\",\n",
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      "  \"text\": \"12 Extent of the competitive service.\\n\\n\",\n",
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      "  \"text\": \"(c) Competitive status shall mean basic\\neligibility to be noncompetitively se-\\nlected to fill a vacancy in a competi-\\ntive position. A competitive status\\nshall be acquired by career-conditional\\nor career appointment through open\\ncompetitive examination upon satis-\\nfactory completion of a probationary\\nperiod, or may be granted by statute,\\nexecutive order, or the Civil Service\\nRules without competitive examina-\\ntion. A person with competitive status\\nmay be promoted, transferred, reas-\\nsigned, reinstated, or demoted without\\ntaking an open competitive examina-\\ntion, subject to the conditions pre-\\nscribed by the Civil Service Rules and\\nRegulations.\\n\\n(a) An employee shall be considered\\n\",\n",
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      "    [\n",
      "      617.1382470703126,\n",
      "      1488.7708333333333\n",
      "    ],\n",
      "    [\n",
      "      617.1382470703126,\n",
      "      1448.8040760869565\n",
      "    ]\n",
      "  ],\n",
      "  \"text\": \"ge ee ee\\n(b) Competitive position shall mean a\\nposition in the competitive service.\\n\",\n",
      "  \"type\": \"Text\"\n",
      "}\n",
      "\n",
      "🔥🔥 now is:\n",
      "{\n",
      "  \"coordinates\": [\n",
      "    [\n",
      "      635.0781518554687,\n",
      "      1374.0345486111112\n",
      "    ],\n",
      "    [\n",
      "      635.0781518554687,\n",
      "      1487.53078955314\n",
      "    ],\n",
      "    [\n",
      "      979.6865698242187,\n",
      "      1487.53078955314\n",
      "    ],\n",
      "    [\n",
      "      979.6865698242187,\n",
      "      1374.0345486111112\n",
      "    ]\n",
      "  ],\n",
      "  \"text\": \"deed nears genta\\n\\n(b) Excepted service shall have the\\nsame meaning as the words \\u201c\\u2018unclassi-\\nfied service\\u2019, or \\u201cunclassified civil\\nservice\\u2019, or \\u2018\\u2018positions outside the\\ncompetitive civil service\\u2019 as used in\\nexisting statutes and executive orders.\\n\\n\",\n",
      "  \"type\": \"Text\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "elements_reord = [elements[i] for i in new_ixs]\n",
    "for ix, (e, e_fix) in enumerate(zip(elements, elements_reord)):\n",
    "    print(f\"\\n🔥 element index: {ix}\")\n",
    "    print(json.dumps(e.to_dict(), indent=2))\n",
    "    print(f\"\\n🔥🔥 now is:\")\n",
    "    print(json.dumps(e_fix.to_dict(), indent=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8b590b81-575a-4f7b-93ab-891b49510ee1",
   "metadata": {},
   "outputs": [],
   "source": [
    "elements_coordinates_fix = [e.to_dict()[\"coordinates\"] for e in elements_reord]\n",
    "elements_types_fix = [\n",
    "    f\"{ix}: {e.to_dict()['type']}\" for ix, e in enumerate(elements_reord, start=1)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2f384b7e-5e9a-4c88-a7aa-8d3df965194e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 1440x1920 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_image_with_bounding_boxes_coloured(\n",
    "    image_path, elements_coordinates_fix, elements_types_fix, desired_width=20\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c9ce09d4-a325-4414-b649-c22299e6300d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 1440x1920 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_path = \"../../example-docs/double-column-B.jpg\"\n",
    "image = Image.open(image_path)\n",
    "layout = DocumentLayout.from_image_file(image_path)  # from_file for pdfs\n",
    "width, height = image.size\n",
    "elements = layout.pages[0].elements\n",
    "elements_coordinates = [e.to_dict()[\"coordinates\"] for e in elements]\n",
    "elements_types = [f\"{ix}: {e.to_dict()['type']}\" for ix, e in enumerate(elements, start=1)]\n",
    "plot_image_with_bounding_boxes_coloured(\n",
    "    image_path, elements_coordinates, elements_types, desired_width=20\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7733a268-a58f-478f-9c31-9a38a02983a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 1440x1920 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_ixs = reorder_elements_in_double_columns(image_path, elements_coordinates)\n",
    "elements_reord = [elements[i] for i in new_ixs]\n",
    "elements_coordinates_fix = [e.to_dict()[\"coordinates\"] for e in elements_reord]\n",
    "elements_types_fix = [\n",
    "    f\"{ix}: {e.to_dict()['type']}\" for ix, e in enumerate(elements_reord, start=1)\n",
    "]\n",
    "plot_image_with_bounding_boxes_coloured(\n",
    "    image_path, elements_coordinates_fix, elements_types_fix, desired_width=20\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "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": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}