{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d1418ef2",
   "metadata": {},
   "source": [
    "# Crowd detection evaluation\n",
    "\n",
    "This notebook aims at showing what kind of graph you can draw thank's to Lours crowd detection evaluator, as special case of detection evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d3f33081",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "\n",
    "%autoreload 2\n",
    "import warnings\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "from lours.dataset import from_coco_keypoints\n",
    "from lours.evaluation.detection import CrowdDetectionEvaluator as cde\n",
    "\n",
    "warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed31c9d5",
   "metadata": {},
   "source": [
    "## Loading the dataset and the predictions\n",
    "\n",
    "Note that they are both treated as datasets at first, and only when creating the eval object we have a detection evaluator\n",
    "\n",
    "As a second Note, you can add several prediction datasets at the same time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7a0a657c",
   "metadata": {},
   "outputs": [],
   "source": [
    "crowd_gt = from_coco_keypoints(\n",
    "    \"../../test_lours/test_data/coco_eval/instances_crowd.json\"\n",
    ")\n",
    "crowd_preds = from_coco_keypoints(\n",
    "    \"../../test_lours/test_data/coco_eval/instances_crowd_predictions.json\"\n",
    ")\n",
    "evaluator = cde(groundtruth=crowd_gt, predictions=crowd_preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8f2dba7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4f17ab117e64492c8076e20344bca75f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<b> Evaluation object, containing 300 images, 162,707 groundtruth objects, and 1 pr…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "evaluator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e8c2a41",
   "metadata": {},
   "source": [
    "## Computing count error metrics\n",
    "\n",
    "Here, we compute count error with absolute error (in number of person detected) and relative error (relative to the actual number of person).\n",
    "\n",
    "- Absolute error is computed with Mean Absolute Error (MAE), Root of Mean Square Error (RMSE), standard deviation of absolute error (std) and different quantiles of errors. the quantile at 50% (q0.50) is also known as the median of errors. If a model is well behaved, the minimum MAE should be at the same threshold as when the median of absolute error is 0.\n",
    "- Relative error is computed the same way. Mean Relative Error (MRE) and Root of Mean Square Relative Error (RMSRE) replace MAE and RMSE.\n",
    "\n",
    "More formally, for a dataset $D$ of $N$ images, with each image $I_i$ having a count $c_{I_i}$, and the corresponding prediction count $\\widehat{c}(I_i, t)$ with a model $\\widehat{c}$ and a detection threshold $t$. The count is thus the number of detections in a particular image such that their confidence if above the threshold $t$.\n",
    "\n",
    "We then get the following formulae:\n",
    "\n",
    "$$ MAE(\\widehat{c}, t) = \\frac{1}{N}\\sum_{i = 0}^N\\left|c_{I_i} - \\widehat{c}(I_i, t)\\right| = \\mathbb{E}_{I \\sim D}\\left|c_I - \\widehat{c}(I, t)\\right|$$\n",
    "$$ MAE(\\widehat{c}) = min_{t} MAE(\\widehat{c}, t)$$\n",
    "\n",
    "\n",
    "Similarly with other metrics :\n",
    "\n",
    "$$MRE(\\widehat{c}, t) = \\frac{1}{N}\\sum_{i = 0}^N\\left|\\frac{c_{I_i} - \\widehat{c}(I_i, t)}{c_{I_i}}\\right|$$\n",
    "\n",
    "$$RMSE(\\widehat{c}, t) = \\sqrt{\\frac{1}{N}\\sum_{i = 0}^N\\left(c_{I_i} - \\widehat{c}(I_i, t)\\right)^2}$$\n",
    "\n",
    "$$RMSRE(\\widehat{c}, t) = \\sqrt{\\frac{1}{N}\\sum_{i = 0}^N\\left(\\frac{c_{I_i} - \\widehat{c}(I_i, t)}{c_{I_i}}\\right)^2}$$\n",
    "\n",
    "For quantiles, we compute the quantiles of algebraic error / relative error distribution : for a share $\\alpha \\in [0,1]$, we compute the count error $e$ below which $\\alpha$ of the count predictions on images used for evaluation were for the pair $\\widehat{c}, t$\n",
    "\n",
    "$$q\\alpha(\\widehat{c}, t) = q(\\widehat{c}, t, \\alpha) = e \\text{ such that } \\mathop{\\mathbb{E}}_{I \\sim D}\\delta_{\\mathbb{R}^+}\\left(c_{I} - \\widehat{c}(I, t) - e\\right) = \\alpha$$\n",
    "\n",
    "$$qR\\alpha(\\widehat{c}, t) = qR(\\widehat{c}, t, \\alpha) = e \\text{ such that } \\mathop{\\mathbb{E}}_{I \\sim D}\\delta_{\\mathbb{R}^+}\\left(\\frac{c_{I} - \\widehat{c}(I, t)}{c_{I}} - e\\right) = \\alpha$$\n",
    "\n",
    "\n",
    "where $\\delta_{\\mathbb{R}^+}$ is the characteristic function of $\\mathbb{R}^+$\n",
    "\n",
    "$$ \\begin{array}{rccc}\\delta_{\\mathbb{R}^+}: & \\mathbb{R} & \\rightarrow & \\{0,1\\} \\\\ & x & \\mapsto & \\left\\{\\begin{array}{l} 1 \\text{ if } x > 0 \\\\ 0 \\text{ else} \\end{array}\\right. \\end{array}$$\n",
    "\n",
    "In addition to these curves, we get the detailed errors, that is the error per image, per confidence threshold. This will help us doing statistics with seaborn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4ed829de-c927-4e9b-9353-f0a044523e71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "13eb7739c18b42fe8916bd7d3ee71804",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/300 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "curves, detailed_errors = evaluator.compute_count_error(\n",
    "    groups=(), quantiles=np.linspace(0.1, 0.9, 7)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eac784c8-7d80-4e08-8230-2bbfbc136cdb",
   "metadata": {},
   "source": [
    "Let's display the relative and absolute error tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a7084d30-5def-4a72-92e0-3a59f55c019a",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MRE</th>\n",
       "      <th>RMSRE</th>\n",
       "      <th>std</th>\n",
       "      <th>q0.10</th>\n",
       "      <th>q0.23</th>\n",
       "      <th>q0.37</th>\n",
       "      <th>q0.50</th>\n",
       "      <th>q0.63</th>\n",
       "      <th>q0.77</th>\n",
       "      <th>q0.90</th>\n",
       "      <th>model</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>confidence</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <td>0.806905</td>\n",
       "      <td>1.098196</td>\n",
       "      <td>predictions</td>\n",
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       "      <td>0.730219</td>\n",
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      ],
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       "                 MRE     RMSRE       std     q0.10     q0.23     q0.37  \\\n",
       "confidence                                                               \n",
       "0.00        0.649522  0.730219  0.335279  0.279273  0.413445  0.513316   \n",
       "0.01        0.649522  0.730219  0.335279  0.279273  0.413445  0.513316   \n",
       "0.02        0.649522  0.730219  0.335279  0.279273  0.413445  0.513316   \n",
       "0.03        0.649522  0.730219  0.335279  0.279273  0.413445  0.513316   \n",
       "0.04        0.649522  0.730219  0.335279  0.279273  0.413445  0.513316   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "0.96        0.537497  0.556097  0.142859 -0.699791 -0.651725 -0.598796   \n",
       "0.97        0.593507  0.611315  0.146721 -0.755856 -0.709297 -0.661932   \n",
       "0.98        0.667382  0.683765  0.149028 -0.836331 -0.781949 -0.749009   \n",
       "0.99        0.772887  0.786162  0.144101 -0.916777 -0.880620 -0.853753   \n",
       "1.00        1.000000  1.000000  0.000000 -1.000000 -1.000000 -1.000000   \n",
       "\n",
       "               q0.50     q0.63     q0.77     q0.90        model  \n",
       "confidence                                                       \n",
       "0.00        0.613915  0.704724  0.806905  1.098196  predictions  \n",
       "0.01        0.613915  0.704724  0.806905  1.098196  predictions  \n",
       "0.02        0.613915  0.704724  0.806905  1.098196  predictions  \n",
       "0.03        0.613915  0.704724  0.806905  1.098196  predictions  \n",
       "0.04        0.613915  0.704724  0.806905  1.098196  predictions  \n",
       "...              ...       ...       ...       ...          ...  \n",
       "0.96       -0.549580 -0.504594 -0.426347 -0.333964  predictions  \n",
       "0.97       -0.619557 -0.561183 -0.484848 -0.392799  predictions  \n",
       "0.98       -0.697289 -0.647355 -0.561885 -0.459282  predictions  \n",
       "0.99       -0.810717 -0.775103 -0.690856 -0.565698  predictions  \n",
       "1.00       -1.000000 -1.000000 -1.000000 -1.000000  predictions  \n",
       "\n",
       "[101 rows x 11 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "curves[\"relative\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2965606a-2131-4f17-97d4-cbc06f2a4807",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th>MAE</th>\n",
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       "      <td>364.906667</td>\n",
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       "      <td>476.233333</td>\n",
       "      <td>796.5</td>\n",
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       "      <th>0.02</th>\n",
       "      <td>364.906667</td>\n",
       "      <td>531.806337</td>\n",
       "      <td>387.576233</td>\n",
       "      <td>60.0</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>172.633333</td>\n",
       "      <td>238.0</td>\n",
       "      <td>337.833333</td>\n",
       "      <td>476.233333</td>\n",
       "      <td>796.5</td>\n",
       "      <td>predictions</td>\n",
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       "      <td>364.906667</td>\n",
       "      <td>531.806337</td>\n",
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       "      <td>60.0</td>\n",
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       "      <td>172.633333</td>\n",
       "      <td>238.0</td>\n",
       "      <td>337.833333</td>\n",
       "      <td>476.233333</td>\n",
       "      <td>796.5</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.04</th>\n",
       "      <td>364.906667</td>\n",
       "      <td>531.806337</td>\n",
       "      <td>387.576233</td>\n",
       "      <td>60.0</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>172.633333</td>\n",
       "      <td>238.0</td>\n",
       "      <td>337.833333</td>\n",
       "      <td>476.233333</td>\n",
       "      <td>796.5</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.96</th>\n",
       "      <td>299.643333</td>\n",
       "      <td>417.398734</td>\n",
       "      <td>291.063514</td>\n",
       "      <td>-629.6</td>\n",
       "      <td>-383.033333</td>\n",
       "      <td>-279.366667</td>\n",
       "      <td>-214.0</td>\n",
       "      <td>-158.266667</td>\n",
       "      <td>-108.766667</td>\n",
       "      <td>-65.9</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.97</th>\n",
       "      <td>336.140000</td>\n",
       "      <td>472.472765</td>\n",
       "      <td>332.579480</td>\n",
       "      <td>-699.3</td>\n",
       "      <td>-422.933333</td>\n",
       "      <td>-319.366667</td>\n",
       "      <td>-227.5</td>\n",
       "      <td>-174.266667</td>\n",
       "      <td>-119.533333</td>\n",
       "      <td>-72.9</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.98</th>\n",
       "      <td>382.430000</td>\n",
       "      <td>540.884285</td>\n",
       "      <td>383.134980</td>\n",
       "      <td>-784.3</td>\n",
       "      <td>-487.700000</td>\n",
       "      <td>-354.100000</td>\n",
       "      <td>-253.5</td>\n",
       "      <td>-193.633333</td>\n",
       "      <td>-136.533333</td>\n",
       "      <td>-82.4</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.99</th>\n",
       "      <td>444.793333</td>\n",
       "      <td>631.669259</td>\n",
       "      <td>449.263549</td>\n",
       "      <td>-933.4</td>\n",
       "      <td>-571.000000</td>\n",
       "      <td>-404.933333</td>\n",
       "      <td>-299.0</td>\n",
       "      <td>-228.266667</td>\n",
       "      <td>-165.000000</td>\n",
       "      <td>-94.9</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.00</th>\n",
       "      <td>542.356667</td>\n",
       "      <td>740.684888</td>\n",
       "      <td>505.286451</td>\n",
       "      <td>-1142.6</td>\n",
       "      <td>-697.933333</td>\n",
       "      <td>-499.100000</td>\n",
       "      <td>-378.0</td>\n",
       "      <td>-285.900000</td>\n",
       "      <td>-224.300000</td>\n",
       "      <td>-141.0</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>101 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   MAE        RMSE         std   q0.10       q0.23  \\\n",
       "confidence                                                           \n",
       "0.00        364.906667  531.806337  387.576233    60.0  111.000000   \n",
       "0.01        364.906667  531.806337  387.576233    60.0  111.000000   \n",
       "0.02        364.906667  531.806337  387.576233    60.0  111.000000   \n",
       "0.03        364.906667  531.806337  387.576233    60.0  111.000000   \n",
       "0.04        364.906667  531.806337  387.576233    60.0  111.000000   \n",
       "...                ...         ...         ...     ...         ...   \n",
       "0.96        299.643333  417.398734  291.063514  -629.6 -383.033333   \n",
       "0.97        336.140000  472.472765  332.579480  -699.3 -422.933333   \n",
       "0.98        382.430000  540.884285  383.134980  -784.3 -487.700000   \n",
       "0.99        444.793333  631.669259  449.263549  -933.4 -571.000000   \n",
       "1.00        542.356667  740.684888  505.286451 -1142.6 -697.933333   \n",
       "\n",
       "                 q0.37  q0.50       q0.63       q0.77  q0.90        model  \n",
       "confidence                                                                 \n",
       "0.00        172.633333  238.0  337.833333  476.233333  796.5  predictions  \n",
       "0.01        172.633333  238.0  337.833333  476.233333  796.5  predictions  \n",
       "0.02        172.633333  238.0  337.833333  476.233333  796.5  predictions  \n",
       "0.03        172.633333  238.0  337.833333  476.233333  796.5  predictions  \n",
       "0.04        172.633333  238.0  337.833333  476.233333  796.5  predictions  \n",
       "...                ...    ...         ...         ...    ...          ...  \n",
       "0.96       -279.366667 -214.0 -158.266667 -108.766667  -65.9  predictions  \n",
       "0.97       -319.366667 -227.5 -174.266667 -119.533333  -72.9  predictions  \n",
       "0.98       -354.100000 -253.5 -193.633333 -136.533333  -82.4  predictions  \n",
       "0.99       -404.933333 -299.0 -228.266667 -165.000000  -94.9  predictions  \n",
       "1.00       -499.100000 -378.0 -285.900000 -224.300000 -141.0  predictions  \n",
       "\n",
       "[101 rows x 11 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "curves[\"absolute\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "117b60a5-0dbf-41b6-ac99-64105959985d",
   "metadata": {},
   "source": [
    "And now the detailed errors table which is much larger, but can be used to reconstruct the aforementioned error tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f78a9f09-f251-4887-8fbb-4e82deee7acf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>gt_count</th>\n",
       "      <th>error</th>\n",
       "      <th>rel_error</th>\n",
       "      <th>abs_error</th>\n",
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       "      <th>sq_rel_error</th>\n",
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       "      <th>image_id</th>\n",
       "      <th>confidence</th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
       "      <th>0.00</th>\n",
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       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
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       "      <td>290521.0</td>\n",
       "      <td>1.654815</td>\n",
       "      <td>predictions</td>\n",
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       "    <tr>\n",
       "      <th>0.01</th>\n",
       "      <td>958.0</td>\n",
       "      <td>419</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>290521.0</td>\n",
       "      <td>1.654815</td>\n",
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       "    <tr>\n",
       "      <th>0.02</th>\n",
       "      <td>958.0</td>\n",
       "      <td>419</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>290521.0</td>\n",
       "      <td>1.654815</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.03</th>\n",
       "      <td>958.0</td>\n",
       "      <td>419</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>290521.0</td>\n",
       "      <td>1.654815</td>\n",
       "      <td>predictions</td>\n",
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       "    <tr>\n",
       "      <th>0.04</th>\n",
       "      <td>958.0</td>\n",
       "      <td>419</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>539.0</td>\n",
       "      <td>1.286396</td>\n",
       "      <td>290521.0</td>\n",
       "      <td>1.654815</td>\n",
       "      <td>predictions</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">299</th>\n",
       "      <th>0.96</th>\n",
       "      <td>112.0</td>\n",
       "      <td>261</td>\n",
       "      <td>-149.0</td>\n",
       "      <td>-0.570881</td>\n",
       "      <td>149.0</td>\n",
       "      <td>0.570881</td>\n",
       "      <td>22201.0</td>\n",
       "      <td>0.325905</td>\n",
       "      <td>predictions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.97</th>\n",
       "      <td>101.0</td>\n",
       "      <td>261</td>\n",
       "      <td>-160.0</td>\n",
       "      <td>-0.613027</td>\n",
       "      <td>160.0</td>\n",
       "      <td>0.613027</td>\n",
       "      <td>25600.0</td>\n",
       "      <td>0.375802</td>\n",
       "      <td>predictions</td>\n",
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       "    <tr>\n",
       "      <th>0.98</th>\n",
       "      <td>80.0</td>\n",
       "      <td>261</td>\n",
       "      <td>-181.0</td>\n",
       "      <td>-0.693487</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.693487</td>\n",
       "      <td>32761.0</td>\n",
       "      <td>0.480924</td>\n",
       "      <td>predictions</td>\n",
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       "    <tr>\n",
       "      <th>0.99</th>\n",
       "      <td>56.0</td>\n",
       "      <td>261</td>\n",
       "      <td>-205.0</td>\n",
       "      <td>-0.785441</td>\n",
       "      <td>205.0</td>\n",
       "      <td>0.785441</td>\n",
       "      <td>42025.0</td>\n",
       "      <td>0.616917</td>\n",
       "      <td>predictions</td>\n",
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       "    <tr>\n",
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       "      <td>1.000000</td>\n",
       "      <td>68121.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>predictions</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>30300 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count  gt_count  error  rel_error  abs_error  \\\n",
       "image_id confidence                                                 \n",
       "0        0.00        958.0       419  539.0   1.286396      539.0   \n",
       "         0.01        958.0       419  539.0   1.286396      539.0   \n",
       "         0.02        958.0       419  539.0   1.286396      539.0   \n",
       "         0.03        958.0       419  539.0   1.286396      539.0   \n",
       "         0.04        958.0       419  539.0   1.286396      539.0   \n",
       "...                    ...       ...    ...        ...        ...   \n",
       "299      0.96        112.0       261 -149.0  -0.570881      149.0   \n",
       "         0.97        101.0       261 -160.0  -0.613027      160.0   \n",
       "         0.98         80.0       261 -181.0  -0.693487      181.0   \n",
       "         0.99         56.0       261 -205.0  -0.785441      205.0   \n",
       "         1.00          0.0       261 -261.0  -1.000000      261.0   \n",
       "\n",
       "                     abs_rel_error  sq_error  sq_rel_error        model  \n",
       "image_id confidence                                                      \n",
       "0        0.00             1.286396  290521.0      1.654815  predictions  \n",
       "         0.01             1.286396  290521.0      1.654815  predictions  \n",
       "         0.02             1.286396  290521.0      1.654815  predictions  \n",
       "         0.03             1.286396  290521.0      1.654815  predictions  \n",
       "         0.04             1.286396  290521.0      1.654815  predictions  \n",
       "...                            ...       ...           ...          ...  \n",
       "299      0.96             0.570881   22201.0      0.325905  predictions  \n",
       "         0.97             0.613027   25600.0      0.375802  predictions  \n",
       "         0.98             0.693487   32761.0      0.480924  predictions  \n",
       "         0.99             0.785441   42025.0      0.616917  predictions  \n",
       "         1.00             1.000000   68121.0      1.000000  predictions  \n",
       "\n",
       "[30300 rows x 9 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "detailed_errors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40c1faa3-c47b-4deb-bb5f-37318a76c424",
   "metadata": {},
   "source": [
    "## Using Seaborn with detailed errors\n",
    "\n",
    "The following graph can you grasp what quantiles are related to.\n",
    "\n",
    "The graph shows an histogram of algebraic error counts throughout the whole dataset, for the confidence thresholds 0.5 and 0.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9d58bc04-66fe-432f-b3c3-77e191d9f49a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(\n",
    "    detailed_errors.xs(0.5, level=\"confidence\")[\"error\"],\n",
    "    cumulative=True,\n",
    "    label=\"cumulative histogram\",\n",
    "    fill=False,\n",
    "    stat=\"percent\",\n",
    "    element=\"step\",\n",
    "    color=\"red\",\n",
    "    alpha=0.5,\n",
    ")\n",
    "dist = sns.histplot(\n",
    "    detailed_errors.xs(0.5, level=\"confidence\")[\"error\"],\n",
    "    label=\"histogram\",\n",
    ")\n",
    "ymin, ymax = dist.get_ylim()\n",
    "quantiles = curves[\"absolute\"].loc[0.5, [\"q0.10\", \"q0.50\", \"q0.90\"]]\n",
    "for name, q in quantiles.items():\n",
    "    plt.plot([q, q], [ymin, ymax], label=name, linestyle=\"dashed\")\n",
    "plt.ylim(ymin, ymax)\n",
    "plt.grid(axis=\"y\", color=\"0.95\")\n",
    "dist.set_axisbelow(True)\n",
    "plt.yticks(range(0, 110, 10))\n",
    "plt.legend()\n",
    "plt.title(\"Algebraic count error distribution and quantiles for threshold $t = 0.5$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bd1e3a2-8901-4f1b-a733-3290835cf794",
   "metadata": {},
   "source": [
    "Next Cell will plot the same distribution but as a 2D heatmap, with y axis set to the threshold.\n",
    "Each vertical slice will give the graph above.\n",
    "\n",
    "You can notice some image outliers where the detector consistently overestimate or underestimate the count by a very large margin, that might be interesting to check out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9cd62aeb-b9fd-4765-ae5a-9694a47c51c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='confidence', ylabel='error'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.histplot(detailed_errors, x=\"confidence\", y=\"error\", bins=100, cbar=True)\n",
    "quantiles = curves[\"absolute\"][[\"q0.10\", \"q0.50\", \"q0.90\"]]\n",
    "quantiles.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0ea2d3c-5096-4311-912a-7d219761872b",
   "metadata": {},
   "source": [
    "Same 2D hist plot can be made with absolute error instead of algebraic error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "166fa46a-d19e-4f97-9dad-64a797cfad4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='confidence', ylabel='abs_error'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.histplot(detailed_errors, x=\"confidence\", y=\"abs_error\", bins=100, cbar=True)\n",
    "curves[\"absolute\"][[\"MAE\", \"RMSE\"]].plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fbeacc4-8cf9-4889-a0f0-6847c2549e65",
   "metadata": {},
   "source": [
    "Finally, we can simply use the `lineplot` function to plot the error distribution across thresholds. The \"pi\" error bar is for percentage interval. See more info in [seaborn documentation](https://seaborn.pydata.org/tutorial/error_bars.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3f6b85ea-6183-4f66-9283-c4e390be8d77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x3198eb410>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(\n",
    "    detailed_errors, x=\"confidence\", y=\"error\", errorbar=(\"pi\", 80), label=\"percentage\"\n",
    ")\n",
    "sns.lineplot(detailed_errors, x=\"confidence\", y=\"error\", errorbar=\"sd\", label=\"std\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff2c6211",
   "metadata": {},
   "source": [
    "## Manual plotting\n",
    "\n",
    "Here, we use directly matplotlib and pandas to plot the different curves.\n",
    "\n",
    "MAE and RMSE give use info about lowest possible error wrt confidence threshold, std give use info about the expected variation of count quality across the different samples of the validation set.\n",
    "\n",
    "Ideally, you should aim for low Error AND low STD.\n",
    "\n",
    "First cell uses Absolute metrics (MAE, RMSE) while second cell uses Relative metrics (MRE, RMSRE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c6db8b91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "abs_curves = curves[\"absolute\"]\n",
    "error = abs_curves[[\"MAE\", \"RMSE\"]]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "abs_curves[[\"MAE\", \"RMSE\", \"std\"]].plot(ax=ax)\n",
    "plt.scatter(error.idxmin(), error.min(), marker=\"+\", zorder=10)\n",
    "for x, y in zip(error.idxmin(), error.min()):\n",
    "    ax.annotate(f\"{x:.2f}\", [x + 0.01, y + 20])\n",
    "fig, ax = plt.subplots()\n",
    "quantiles = [c for c in abs_curves.columns if c.startswith(\"q\")]\n",
    "abs_curves[quantiles].plot(ax=ax, colormap=\"coolwarm\")\n",
    "plt.grid()\n",
    "\n",
    "abs_median = abs_curves[\"q0.50\"].abs()\n",
    "plt.scatter(abs_median.idxmin(), abs_median.min(), marker=\"+\", zorder=10)\n",
    "plt.title(\"Absolute metric and corresponding optimal confidence values\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "43589412",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rel_curves = curves[\"relative\"]\n",
    "error = rel_curves[[\"MRE\", \"RMSRE\"]]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "rel_curves[[\"MRE\", \"RMSRE\", \"std\"]].plot(ax=ax)\n",
    "plt.scatter(error.idxmin(), error.min(), marker=\"+\", zorder=10)\n",
    "for x, y in zip(error.idxmin(), error.min()):\n",
    "    ax.annotate(f\"{x:.2f}\", [x + 0.01, y + 0.01])\n",
    "fig, ax = plt.subplots()\n",
    "quantiles = [c for c in rel_curves.columns if c.startswith(\"q\")]\n",
    "rel_curves[quantiles].plot(ax=ax, colormap=\"coolwarm\")\n",
    "plt.grid()\n",
    "\n",
    "abs_median = rel_curves[\"q0.50\"].abs()\n",
    "plt.scatter(abs_median.idxmin(), abs_median.min(), marker=\"+\", zorder=10)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.11.9"
  },
  "vscode": {
   "interpreter": {
    "hash": "abc9a1dac9bd8889ac80f2172f7e9696d54384b48ab3353122145881864117fe"
   }
  },
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          "text/plain": "        image_id category_str  category_id  split   box_x_min   box_y_min  \\\nid                                                                          \n0              0         head            0  crowd    8.689560  510.076174   \n1              0         head            0  crowd   13.804446  565.828422   \n2              0         head            0  crowd    6.643606  550.995255   \n3              0         head            0  crowd   32.218032  544.857393   \n4              0         head            0  crowd   54.723526  518.259990   \n...          ...          ...          ...    ...         ...         ...   \n162702       299         head            0  crowd  736.111655  275.163252   \n162703       299         head            0  crowd  970.642967  377.961970   \n162704       299         head            0  crowd  612.404084  403.774601   \n162705       299         head            0  crowd  937.710777  365.924451   \n162706       299         head            0  crowd  784.264224  307.614761   \n\n        box_width  box_height  \nid                             \n0             0.0         0.0  \n1             0.0         0.0  \n2             0.0         0.0  \n3             0.0         0.0  \n4             0.0         0.0  \n...           ...         ...  \n162702        0.0         0.0  \n162703        0.0         0.0  \n162704        0.0         0.0  \n162705        0.0         0.0  \n162706        0.0         0.0  \n\n[162707 rows x 8 columns]"
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