{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "058ab624-607b-4c6d-9608-554583bd05b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from aggme.aggregation import BboxAggregation\n",
    "from aggme.utils import AnnotationData, Visualizer\n",
    "from aggme.utils.processing import toloka_bboxes_to_template"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5727a247-f0b3-4ebf-b00f-19dc609a219e",
   "metadata": {},
   "source": [
    "# Loading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9b1beece-4df4-4818-8f5f-2d2e792f2d7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = AnnotationData(markup_type='bboxes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e1479acd-bf4c-4810-bf74-15f8bf0660e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OUTPUT:markup</th>\n",
       "      <th>ASSIGNMENT:assignment_id</th>\n",
       "      <th>INPUT:image</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[{'shape': 'rectangle', 'left': 0.37594, 'top'...</td>\n",
       "      <td>user_1</td>\n",
       "      <td>case_000_ov3_cl1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[{'shape': 'rectangle', 'left': 0.38454, 'top'...</td>\n",
       "      <td>user_2</td>\n",
       "      <td>case_000_ov3_cl1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[{'shape': 'rectangle', 'left': 0.39009, 'top'...</td>\n",
       "      <td>user_3</td>\n",
       "      <td>case_000_ov3_cl1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       OUTPUT:markup ASSIGNMENT:assignment_id  \\\n",
       "0  [{'shape': 'rectangle', 'left': 0.37594, 'top'...                   user_1   \n",
       "1  [{'shape': 'rectangle', 'left': 0.38454, 'top'...                   user_2   \n",
       "2  [{'shape': 'rectangle', 'left': 0.39009, 'top'...                   user_3   \n",
       "\n",
       "        INPUT:image  \n",
       "0  case_000_ov3_cl1  \n",
       "1  case_000_ov3_cl1  \n",
       "2  case_000_ov3_cl1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"./input_files/bboxes_data.csv\")\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd900776-2a70-4624-ab4d-e5871fb791ea",
   "metadata": {},
   "source": [
    "# Check and visualize the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "033ae649-24c4-478e-ae44-fa05d4c1b460",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MarkupGroup object\n",
       "name: case_000_ov3_cl2\n",
       "data_len: 6\n",
       "annotators_len: 3"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.load_markups(df, toloka_bboxes_to_template)\n",
    "group = data.groups[1]\n",
    "group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a9713edd-3a0d-44d3-8010-498f3832f9cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vis_group = Visualizer(group)\n",
    "vis_group.draw(group)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c74db3c-6667-429f-885f-85b31e67fa30",
   "metadata": {},
   "source": [
    "# Aggregate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "20aba9c6-2a54-4a62-bdaa-c2cab3102a58",
   "metadata": {},
   "outputs": [],
   "source": [
    "aggregator = BboxAggregation()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f23306d-4a79-40fe-8f91-384ef679aa5b",
   "metadata": {},
   "source": [
    "Total results of aggregation:\n",
    "- Every failed step sends markup group to next method in this order `['hard', 'drop', 'soft']`,\n",
    "- To make drop logic work, you shold have more than 3 markups on image and possibly a lower threshold/confidence value,\n",
    "- Every markup, that failed all the methods goes to `['fail']`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9571e1e4-0d8c-4f36-9699-ba3c1d4c43ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 28/28 [00:02<00:00, 11.09it/s]\n"
     ]
    }
   ],
   "source": [
    "data.load_markups(df, toloka_bboxes_to_template)\n",
    "results = aggregator.get_aggregation_results(data, threshold=0.5, confidence=0.6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f6fd8104-7a62-4a80-8e81-4573fceebda7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['hard', 'drop', 'soft', 'fail'])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2b55b455-fff5-4070-83b5-0d2752ba8a28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12, 4, 7, 5)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(results['hard']), len(results['drop']), len(results['soft']), len(results['fail'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d7955419-f198-4c3a-b039-bccd0e81d942",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'hard': [(MarkupGroup object\n",
       "   name: case_000_ov3_cl1\n",
       "   data_len: 3\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_000_ov3_cl1\n",
       "   data_len: 1\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_000_ov3_cl2\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_000_ov3_cl2\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_003_ov4_cl1_rm_box\n",
       "   data_len: 3\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_003_ov4_cl1_rm_box\n",
       "   data_len: 1\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_4'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_004_ov3_cl1_mix\n",
       "   data_len: 3\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_004_ov3_cl1_mix\n",
       "   data_len: 1\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_004_ov3_cl2_mix\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_004_ov3_cl2_mix\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_004_ov3_cl2_mix_2\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_004_ov3_cl2_mix_2\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_006_ov3_cl1_overlay\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_006_ov3_cl1_overlay\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_1\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_1\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_2\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_2\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_3\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_3\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set()),\n",
       "  (MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_4\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_006_ov3_cl2_overlay_4\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_3'},\n",
       "   set())],\n",
       " 'drop': [(MarkupGroup object\n",
       "   name: case_001_ov4_cl1_add_small_boxes\n",
       "   data_len: 7\n",
       "   annotators_len: 4,\n",
       "   MarkupGroup object\n",
       "   name: case_001_ov4_cl1_add_small_boxes\n",
       "   data_len: 1\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_4'},\n",
       "   {'user_3'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_001_ov4_cl2_add_small_boxes\n",
       "   data_len: 11\n",
       "   annotators_len: 4,\n",
       "   MarkupGroup object\n",
       "   name: case_001_ov4_cl2_add_small_boxes\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_4'},\n",
       "   {'user_3'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_002_ov4_cl1_add_box\n",
       "   data_len: 5\n",
       "   annotators_len: 4,\n",
       "   MarkupGroup object\n",
       "   name: case_002_ov4_cl1_add_box\n",
       "   data_len: 1\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_4'},\n",
       "   {'user_3'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_003_ov4_cl2_rm_box\n",
       "   data_len: 7\n",
       "   annotators_len: 4,\n",
       "   MarkupGroup object\n",
       "   name: case_003_ov4_cl2_rm_box\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2', 'user_4'},\n",
       "   {'user_3'})],\n",
       " 'soft': [(MarkupGroup object\n",
       "   name: case_003_ov3_cl2_rm_box\n",
       "   data_len: 5\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_003_ov3_cl2_rm_box\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_1', 'user_2'},\n",
       "   {'user_3'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_005_ov3_cl1_double\n",
       "   data_len: 4\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_005_ov3_cl1_double\n",
       "   data_len: 1\n",
       "   annotators_len: 1,\n",
       "   {'user_2', 'user_3'},\n",
       "   {'user_1'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_005_ov3_cl2_double\n",
       "   data_len: 8\n",
       "   annotators_len: 3,\n",
       "   MarkupGroup object\n",
       "   name: case_005_ov3_cl2_double\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_2', 'user_3'},\n",
       "   {'user_1'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_1\n",
       "   data_len: 13\n",
       "   annotators_len: 5,\n",
       "   MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_1\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_4', 'user_5'},\n",
       "   {'user_1', 'user_2', 'user_3'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_2\n",
       "   data_len: 13\n",
       "   annotators_len: 5,\n",
       "   MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_2\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_3', 'user_5'},\n",
       "   {'user_1', 'user_2', 'user_4'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_3\n",
       "   data_len: 12\n",
       "   annotators_len: 5,\n",
       "   MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_3\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   set(),\n",
       "   {'user_1', 'user_2', 'user_3', 'user_4', 'user_5'}),\n",
       "  (MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_4\n",
       "   data_len: 12\n",
       "   annotators_len: 5,\n",
       "   MarkupGroup object\n",
       "   name: case_007_ov5_cl2_overlay_4\n",
       "   data_len: 2\n",
       "   annotators_len: 1,\n",
       "   {'user_4'},\n",
       "   {'user_1', 'user_2', 'user_3', 'user_5'})],\n",
       " 'fail': [(MarkupGroup object\n",
       "   name: case_001_ov3_cl1_add_small_boxes\n",
       "   data_len: 6\n",
       "   annotators_len: 3,\n",
       "   None,\n",
       "   None,\n",
       "   None),\n",
       "  (MarkupGroup object\n",
       "   name: case_001_ov3_cl2_add_small_boxes\n",
       "   data_len: 9\n",
       "   annotators_len: 3,\n",
       "   None,\n",
       "   None,\n",
       "   None),\n",
       "  (MarkupGroup object\n",
       "   name: case_002_ov3_cl1_add_box\n",
       "   data_len: 4\n",
       "   annotators_len: 3,\n",
       "   None,\n",
       "   None,\n",
       "   None),\n",
       "  (MarkupGroup object\n",
       "   name: case_003_ov3_cl1_rm_box\n",
       "   data_len: 2\n",
       "   annotators_len: 2,\n",
       "   None,\n",
       "   None,\n",
       "   None),\n",
       "  (MarkupGroup object\n",
       "   name: case_007_ov4_cl2_overlay\n",
       "   data_len: 11\n",
       "   annotators_len: 4,\n",
       "   None,\n",
       "   None,\n",
       "   None)]}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9584b0b4-2de7-402a-b4a0-6ce57f298598",
   "metadata": {},
   "source": [
    "# Visualise results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31888a2e-f5ad-463a-93d9-984b64c1e0fa",
   "metadata": {},
   "source": [
    "<font color='green'> Green </font> color at the top of image shows that annotators are __correct__. <font color=\"red\">Red</font> color will be showing otherwise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "df0d95b8-b57f-4837-a996-b29c5075ded9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 0.1\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 1\n",
    "#    Method: HARD\n",
    "#    Result: GOOD\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_000_ov3_cl1')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0259ae50-1665-443e-bc6f-64f7e5c70638",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 0.2\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 2\n",
    "#    Method: HARD\n",
    "#    Result: GOOD\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_000_ov3_cl2')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fd378b95-4fac-48de-ab09-97981769439b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 1.1\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 1\n",
    "#    Method: HARD\n",
    "#    Result: BAD\n",
    "#\n",
    "#  We had 3 markups on image, but user_3 added small boxes and the hard-method do not work.\n",
    "#  We requested additional markup and hard-method worked after dropping one error markup.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_001_ov3_cl1_add_small_boxes')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_001_ov4_cl1_add_small_boxes')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6321a894-1db4-468a-a861-063b48627804",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 1.2\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 2\n",
    "#    Method: HARD\n",
    "#    Result: BAD\n",
    "#\n",
    "#  We had 3 markups on image, but user_3 added small boxes and the hard-method do not work.\n",
    "#  We requested additional markup and hard-method worked after dropping one error markup.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_001_ov3_cl2_add_small_boxes')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_001_ov4_cl2_add_small_boxes')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "af7f18c0-729d-494c-863e-c1dd576fe7e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 2\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 1\n",
    "#    Method: HARD\n",
    "#    Result: BAD\n",
    "#\n",
    "#  We had 3 markups on image, but user_3 added box and the hard-method do not work.\n",
    "#  We requested additional markup and hard-method worked after dropping one error markup.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_002_ov3_cl1_add_box')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_002_ov4_cl1_add_box')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cd86fb81-a19d-4828-9dde-a31e75171509",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 3.1\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 1\n",
    "#    Method: HARD\n",
    "#    Result: BAD\n",
    "#\n",
    "#  We had 3 markups on image, but user_3 added empty markup and the hard-method do not work.\n",
    "#  We requested additional markup and hard-method worked.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_003_ov3_cl1_rm_box')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_003_ov4_cl1_rm_box')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "182315b1-1963-4610-bf05-1c382c825526",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 3.2\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 2\n",
    "#    Method: SOFT\n",
    "#    Result: GOOD\n",
    "#\n",
    "#  We had 3 markups on image, but user_3 did not add box and the hard-method do not work, but soft-method worked.\n",
    "#  We requested additional markup and hard-method worked after dropping one error markup.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_003_ov3_cl2_rm_box')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_003_ov4_cl2_rm_box')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6fe24442-5706-49b3-aadb-13f9c8379a2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 4.1\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 1\n",
    "#    Method: HARD\n",
    "#    Result: GOOD\n",
    "#\n",
    "#  We had 3 markups on image, but the user_3 mixed up the class.\n",
    "#  Below is a comparison with the etalon, where the class is chosen correctly.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_004_ov3_cl1_mix')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_000_ov3_cl1')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9790f620-5e00-4a43-af1b-1c5912389686",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 4.2\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 2\n",
    "#    Method: HARD\n",
    "#    Result: GOOD\n",
    "#\n",
    "#  We had 3 markups on image, but the user_3 mixed up the class.\n",
    "#  Below is a comparison with the etalon, where the class is chosen correctly.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_004_ov3_cl2_mix')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_004_ov3_cl2_mix_2')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_000_ov3_cl2')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d8ea30a6-3269-4964-847e-b831435592cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 5.1\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 1\n",
    "#    Method: SOFT\n",
    "#    Result: GOOD\n",
    "#\n",
    "#  We had 3 markups on image, but the user_1 added duplicate boxes.\n",
    "#  Below is a comparison with the etalon, where the class is chosen correctly.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_005_ov3_cl1_double')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_000_ov3_cl1')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d4ee768e-9013-4538-8c38-0474b50b3bf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 5.2\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 2\n",
    "#    Method: SOFT\n",
    "#    Result: GOOD\n",
    "#\n",
    "#  We had 3 markups on image, but the user_1 added duplicate boxes.\n",
    "#  Below is a comparison with the etalon, where the class is chosen correctly.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_005_ov3_cl2_double')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_000_ov3_cl2')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "41ddcf33-42a6-4739-b536-500a2c277be6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 6\n",
    "#    Overlap: 3\n",
    "#    Number of classes: 1-2\n",
    "#    Method: HARD\n",
    "#    Result: GOOD\n",
    "#\n",
    "#  We had 3 markups on image with overlay.\n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_006_ov3_cl1_overlay')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_006_ov3_cl2_overlay')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_006_ov3_cl2_overlay_1')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_006_ov3_cl2_overlay_2')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_006_ov3_cl2_overlay_3')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_006_ov3_cl2_overlay_4')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3b871cde-364c-4e39-a662-e6c04ce88ffe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  Example 7\n",
    "#    Overlap: 4\n",
    "#    Number of classes: 1-2\n",
    "#    Method: SOFT\n",
    "#    Result: BAD\n",
    "#\n",
    "#  We had 4 markups on image with overlay, but the soft-method do not work.\n",
    "#  We requested additional different markups from user_5 and soft-method worked after manipulations. \n",
    "\n",
    "method, group = aggregator.get_group_by_name(results, 'case_007_ov4_cl2_overlay')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_007_ov5_cl2_overlay_1')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_007_ov5_cl2_overlay_2')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_007_ov5_cl2_overlay_3')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")\n",
    "method, group = aggregator.get_group_by_name(results, 'case_007_ov5_cl2_overlay_4')\n",
    "original_group, result_group, accepted, rejected = group\n",
    "vis = Visualizer(original_group)\n",
    "vis.draw(\n",
    "    data = original_group,\n",
    "    result = result_group,\n",
    "    accepted = accepted,\n",
    "    rejected = rejected\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52478ca5-2e2c-4863-bee6-a80a836001fb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}