{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "71b1eb19-3148-46ca-8a9a-fdf18bd2b18d",
   "metadata": {},
   "source": [
    "# Demonstrating Resolution and Noise Transformations\n",
    "\n",
    "## Introduction\n",
    "This notebook is part of the NRTK demonstration suite, demonstrating how perturbations can be applied and their impact measured via MAITE evaluation workflows.\n",
    "\n",
    "## Layout\n",
    "This notebook demonstrates how particular sensor transformations (in this case, transformations affecting <b><i>Resolution</i></b> and <b><i>Noise</i></b>), can affect an object detection model, and how that impact can be measured. The overall structure is:\n",
    "\n",
    "- **Evaluation Guidance: Computing Mean Average Precision (mAP):**\n",
    "    - An overview of the evaluation strategy.\n",
    "- **Setup:**\n",
    "    - Notebook initialization, loading the supporting python code. Depending on if this is the first time you've run this notebook, this may take some time.\n",
    "    - Loading the source image, which will be used throughout the notebook.\n",
    "- **Image Perturbation Examples:**\n",
    "    - The NRTK perturbation is demonstrated on the source image.\n",
    "- **Baseline Detections:**\n",
    "    - The object detection model is loaded and run on the unperturbed image. These will serve as \\\"ground truth\\\" for comparisons against the perturbed images.\n",
    " \n",
    "At this point, we have the fundamental elements of our evaluation: the model, our reference image, and a mechanism for creating the perturbed test images. Next we adapt these elements to be used with the MAITE evaluation workflow:\n",
    "\n",
    "- **Wrapping the Detection Model**\n",
    "- **Wrapping the Reference Image as a Dataset**\n",
    "- **Wrapping the Perturbation as Augmentation Objects**\n",
    "- **Wrapping the Metrics**\n",
    "\n",
    "After the evaluation elements have been wrapped, we can run the evaluation:\n",
    "\n",
    "- **Preparing the Augmentations:**\n",
    "    - We specify the range of perturbation values to evaluate and optionally specify which ones we'd like to visualize.\n",
    "- **Evaluation of Augmented Data:**\n",
    "    - Each augmentation is run through MAITE's evaluation workflow, computing the absolute mAP metric of the detector on the perturbed datasets.\n",
    "- **Evaluation Analysis:**\n",
    "    - We plot and discuss the mAP@50 metric from each of the perturbed images, as well as per-class and per-area results.\n",
    "\n",
    "To run this notebook in Colab, use the link below:\n",
    "\n",
    "**Note: Running this notebook in Colab requires the v2-8 TPU runtime. To change runtime, go to the Runtime menu -> Change runtime type -> 2-8 TPU**\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Kitware/nrtk/blob/main/docs/examples/maite/nrtk_sensor_transformation_demo.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b2e1964-46e2-4497-88ff-274eaca17960",
   "metadata": {},
   "source": [
    "## Evaluation Guidance: Computing Mean Average Precision (mAP)\n",
    "\n",
    "This notebook evaluates the robustness of an Object Detector when exposed to NRTK (Natural, Physics-based) perturbations, using mean Average Precision (mAP) as the performance metric. The baseline case, where no perturbations are applied (identity augmentation), typically yields an mAP close to 1.0 and serves as the reference point. Unlike standard evaluations that focus on whether the detector can correctly identify and localize objects, our goal here is to measure how well the detector maintains its performance under realistic perturbations. \n",
    "\n",
    "By comparing the absolute mAP scores of the baseline against perturbed datasets, we can assess the detector's sensitivity to environmental variations and quantify its robustness in generating reliable predictions beyond controlled conditions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9268412-0d13-4fed-ae78-f6ee02c94c9c",
   "metadata": {},
   "source": [
    "## Setup: Notebook Initialization\n",
    "The next few cells import the python packages used in the rest of the notebook.\n",
    "\n",
    "**Note:** We are suppressing warnings within this notebook to reduce visual clutter for demonstration purposes. If any issues arise while executing this notebook, we recommend that the first cell is **not** executed so that any related warnings are shown.\n",
    "\n",
    "**Note for Colab users**: After setting up the environment, you may need to \"Restart Runtime\" in order to resolve package version conflicts (see the [README](https://github.com/Kitware/nrtk/blob/main/docs/examples/README.md#run-the-notebooks-from-colab) for more info)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "796743f8-2f1e-42aa-ad6b-f71e721602f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "# warning suppression\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2561179f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Beginning package installation...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installing nrtk's extras...\n"
     ]
    }
   ],
   "source": [
    "import sys  # noqa: F401\n",
    "\n",
    "print(\"Beginning package installation...\")\n",
    "!{sys.executable} -m pip install -qU pip\n",
    "\n",
    "print(\"Installing nrtk's extras...\")\n",
    "!{sys.executable} -c \"import nrtk\" || !{sys.executable} -m pip install -q \\\n",
    "  \"nrtk[maite,albumentations]>=0.25.0\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3c3fdddb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installing required packages...\n"
     ]
    }
   ],
   "source": [
    "print(\"Installing required packages...\")\n",
    "# Add temporary numpy<2.0 constraint to avoid dependency conflicts\n",
    "!{sys.executable} -m pip install -q \"matplotlib\" \"torchvision\" \"torchmetrics\" \"ultralytics\" \"numpy<2.0\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "570617ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Doing a fresh install of opencv-python-headless...\n"
     ]
    }
   ],
   "source": [
    "# opencv-python depends on libGL, which is unnecessary for running the notebook\n",
    "# and can cause failures in some environments (e.g., GitLab CI). To avoid this,\n",
    "# we uninstall all opencv variants and install opencv-python-headless instead.\n",
    "\n",
    "# OpenCV must be uninstalled and reinstalled last due to other packages installing OpenCV\n",
    "# Add temporary numpy<2.0 constraint to avoid dependency conflicts\n",
    "print(\"Doing a fresh install of opencv-python-headless...\")\n",
    "!{sys.executable} -m pip uninstall -qy \"opencv-python\" \"opencv-python-headless\"\n",
    "!{sys.executable} -m pip install -q \"opencv-python-headless\" \"numpy<2.0\" --no-cache-dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c18e6bd1-1c56-447a-b1e4-16df26269ed8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detected status of NRTK extras and their dependencies:\n",
      "\n",
      "[Pillow]\n",
      "  - Pillow                    ✓ 10.4.0\n",
      "\n",
      "[albumentations]\n",
      "  - albumentations            ✓ 2.0.5\n",
      "\n",
      "[diffusion]\n",
      "  - torch                     ✓ 2.8.0+cu128\n",
      "  - diffusers                 ✓ 0.34.0\n",
      "  - accelerate                ✓ 1.9.0\n",
      "  - Pillow                    ✓ 10.4.0\n",
      "  - transformers              ✓ 4.53.1\n",
      "  - protobuf                  ✗ missing\n",
      "\n",
      "[graphics]\n",
      "  - opencv-python             ✗ missing\n",
      "\n",
      "[headless]\n",
      "  - opencv-python-headless    ✓ 4.11.0\n",
      "\n",
      "[maite]\n",
      "  - maite                     ✓ 0.8.2\n",
      "  - fastapi                   ✓ 0.116.1\n",
      "  - pydantic                  ✓ 2.10.4\n",
      "  - pydantic_settings         ✓ 2.7.0\n",
      "  - uvicorn                   ✓ 0.34.0\n",
      "\n",
      "[notebook-testing]\n",
      "  - datasets                  ✓ 4.0.0\n",
      "  - matplotlib                ✓ 3.10.7\n",
      "  - numba                     ✓ 0.60.0\n",
      "  - tabulate                  ✓ 0.9.0\n",
      "  - torch                     ✓ 2.8.0+cu128\n",
      "  - torchmetrics              ✓ 1.6.2\n",
      "  - torchvision               ✓ 0.23.0+cu128\n",
      "  - transformers              ✓ 4.53.1\n",
      "  - ultralytics               ✓ 8.3.85\n",
      "  - jupytext                  ✓ 1.16.7\n",
      "  - albumentations            ✓ 2.0.5\n",
      "\n",
      "[pybsm]\n",
      "  - pybsm                     ✓ 0.12.0\n",
      "\n",
      "[scikit-image]\n",
      "  - scikit-image              ✓ 0.24.0\n",
      "\n",
      "[tools]\n",
      "  - kwcoco                    ✓ 0.8.7\n",
      "  - Pillow                    ✓ 10.4.0\n",
      "\n",
      "[waterdroplet]\n",
      "  - scipy                     ✓ 1.13.1\n",
      "  - shapely                   ✓ 2.0.7\n",
      "  - geopandas                 ✓ 0.14.0\n",
      "\n",
      "\n",
      "For details about installing NRTK extras, please visit:\n",
      "    https://nrtk.readthedocs.io/en/v0.25.0/installation.html#extras\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import urllib.request\n",
    "from collections.abc import Sequence\n",
    "from typing import Any\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "# some initial imports\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = \"jpeg\"  # Use JPEG format for inline visualizations\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from PIL import Image\n",
    "\n",
    "from nrtk.impls.perturb_image.pybsm.pybsm_perturber import PybsmPerturber\n",
    "from nrtk.impls.perturb_image.pybsm.scenario import PybsmScenario\n",
    "from nrtk.impls.perturb_image.pybsm.sensor import PybsmSensor\n",
    "from nrtk.utils._extras import print_extras_status\n",
    "\n",
    "print_extras_status()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "242e9bfa-fcea-4a1d-a8e0-9455b28777a2",
   "metadata": {},
   "source": [
    "## Setup: Source Image\n",
    "\n",
    "In the next cell, we'll download and display a source image from the __[VisDrone](https://github.com/VisDrone/VisDrone-Dataset)__ dataset. The image will be cached in a local `data` subdirectory.\n",
    "\n",
    "### A Note on Image Storage\n",
    "\n",
    "Typically in ML workflows, batches of images are processed as tensors of the color channels. Both our perturber (NRTK) and object detector (YOLO) accept numpy `ndarray` objects, and we will use [matplotlib.imshow](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html) to view them. The complication is that although YOLO inferences on `ndarray`, [it expects the color channels to be in BGR](https://docs.ultralytics.com/modes/predict/) order. If we naively view the same data YOLO inferences on, the colors will be wrong; if we naively inference on what we view, the detections will be wrong. (Our NRTK perturbation is agnostic to the channel order.)\n",
    "\n",
    "In this notebook, we'll convert the channel order to BGR when we load, and convert back whenever we explicitly call `imshow`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "57facb8b-4cb6-476b-a321-f48d70e773ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
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lUyRSwxybc8Z28npXR6bCZdJuLNjybaRd2P8APrXI+IpmjisVSFJXEQj+dN2QpPT8KiqrxOzCRvV9465JDcf2W3G1klO3aOowR2+tJPFnxVcBgNgWJ1G0cE4B7ZqtpUgk0rT51Cjy3KhVXAwy44HatC/UR61HPk5liUY7cH/61FLWCMqsWqjSGG3Xyb5yql2nCsdo5XzP8DVye3jYXTFF5twBx2wf8KZcK0cOoogLEAygep+U/wBKVruWWTHkECezLfRhnj9a1MtUZ2qRpbaza7F+Xyl4+hx/SktdZW6WJPJQCVzGwLkY4HTj3qHXZ2lNldMNrSQbtv45rEjvI7e0tz2U5Ct2bcf6CsK1Z0ldHVWk40os6C+lsrSI5tzvP3f3h49CazrS+VJmYgzBzhSp2hTz3rJm1Ar+7mfzc8EL0xnpmnQXyTCQMxRTg5x6dq462LxFSSm29DylTgtkX5vFF7HbRK5IjWZm9VY5/nzW3YeIFQ3l1NNvDAMIySQpOOn4H9K54rC5ZWSNlXggYA9M4/EVQjka3v3jYfupQVVdwPy9vp1rOnVnvEtSaPS1lYadaSpNGg35DNj5l9P0qu94baQyNOu5+Pl5Ax7VzNtdKunLYrLmIjeuRg9MdazYtWKSxRyBmV8j94eT2/A11rFuXwornPULPxXFGw8yU+ap7jII5FdDZeJ7WZGEjtvB5+XGBXiZvJPM2ltxzxjqa6/Q3PkKroDIVyc8HHWumhKU1eRKm2dhqviiBZdkF0yIAckDvWHrHiKLUre3hMvCOTu5DH6+1YeqwKczBZGLDP7s8VyzX78ggq+cYIq6rnDWIueSZ2ltc/Z79GEoVAMlpJc5z0xn3xTf7Sls9Tu91wAHyQoXIz259sdPeuJhvPNmMkoVoyVQAnuPSrU07SBmZ84G3C9SAP64FctTEyittR+0Z2Fv4iNrbpEwBKSiRmVyMgYGKsWvi6KUwpNH5m1jht3DZzgH8xXm8s88sLJGp84/Mcc5Pp+tatuxSLyEBcggHHcgY/z9a5ZYuslqCmux2+vaod0DwvGm2NS0asGGcnjNYureIxax+UsjLI68ngAdemPpXOx30nkXQuIH3hcIWzlST1+nWsW7uGufLxIBJtYHb3HQ5/KtvrTnGyVmU56aHpGl61bCLzbm9JLcncen+FWBJB9uaf7S+xlBCmU7R1ycZryyO+PlIvmAIzYcY9B1ru9FulvLIA8tGgXk8kds1vRqtvlkFyLXZotUW1iS4Eim5Aba2ccGkt4Es7dYIydq+pyaw9Vhm0tYzHOu4ybgdvQgGtSzuPM0+OSRwzMmScYrSq0l7yubQvYj1idxBarJIFTep+Xg4q9prwrbfLC0qg8MX6cA1x+vapb6hpwSFHRlVAwY5zntU2matdafp/kQRQlcsx3Zz0Aq031FJRWx10zRGT5IVjAwdpAPOP8AA02Pi6gUbQGkGQAB9az7S5lvbcTyoFdyMqCcDGB/So7vUjpCwXBh81kcnZuxn8efWuBTk61r9TblXJc7Voo1jwFAGegqnJGoFsMDHU/lWKfFcrR/8g9hnuJgf6VnN45EkkSCwkzkIP3g5PT0r0DnPQBpto9vEfKXIXnAx161A+m2Ue+V0UIvzN7YqFPElgd6eegZDtK5GQR17+1cRf6vPbxXMcd7H5Vzu85TyQ5z/wDWrOdRRB3RU8UQxQauzWt35kbfvNgOQv1xWFBfyRXSh1EibgcEcEdaknuXurhpA4ztKZUBe2DwPbis4oYnA3jcSOo4riaUm3Yjc0tRhgExeElYJPnUHqB6e+KrtFAEJWIsSOcsDn3zQ14JW5+RRwpAHUf/AK6rTTPncrhhnBHelFSegDi3yhANnrn0PvVh7mGPAdcqFwCQDj8PzrJeVn+QE9PyqLexU/MQByf6Vr7G+40i8Zo/MWWNjk54AwOvWlecFSGbJz0HaqIkJMe48A9WJxj0qSUxNhwzKe+0Vbpq47FlJ4LgEHhBwoPHPvTIp5bliiABE4Zg2AeeKoqBFubdk/wjv9auWUkykLsPlBsFSDj1z+dP2aSuFi2FlSBlcHORwT973qs0pK5AwR0AqzcXYu52kwke4/w9Bxjj8qqMSM4fjnqOprOMdSRkTEuGYfKTxnnJ9KQN5shTdtIyQcdBUZlEbMS6k/7PrVeCbDOWDFScED9K3SGW49uwl2UhDjBHU19S/CFt3wt0Y/8AXf8A9HSV8sPHJPGXVWODyPavqX4PoE+FmjKCSB5/X/rvJVQtcqO53NFFFaFhXE63BKfEU0oX5Mpzx/dFdtXhPi7WL+L4v3VkL+4W0MkS+SrkKMwqf5nP41MldAavilBG9vPsZgrENtXccEZ6fgK8ik0G1VzjUjjPT7LJkfpXtmu2zXWmTKjsrlMqynBBx1zXh90+r28aSXF3cosnKkyNzVJtsm6W48aHanrfyE+1o1TN4biRA5ubhgRkEWp/q1X/AAtLJca/bRTTTvHLGwxI5IJxn1rL1C0vbGcpNcTMpkZFw5OcHHrRd3sO1jpPB+h+RrMV1FLPuQ4KvEFBH1yfSvR2WBHKvcwqc/dZ8GuM+HIDpcbgSyyA5JycEf8A1qx/EOnLY+Ohd4DRzXak/wCycA/41Mlzbg3ys9Kt5bVbxFS7gZ842rICaljGy8Uf7ZFcvo1mLPxRdx4XGSy4HQbv/r1082VvM9w4NYVFaxcdTIW9s9RuLu2Ebs1nJ8wdcDIJHFWNE1GPVYt0cbIoJTa2O6g9qwZzLaa7rotx+9PzjHPUqf5E1e8LSQAzLapsjEi4UjGDhgf5VpyJMhSbKGgSPM8pZAhDvDt3Z7Z/pXI6vJdNo9nPACJpXdcKucYI9a7DSR9n1G8hYFdl4SuRjIJcf1FcvrSTnRjbQnbPFdOOuDtOOn/fNKr8J04Wb9ojQ0u4nfRLbfuWQXKCTcozjoauax9ql1jTPJm2wiFmcFcglf17msXRGmi0Cc3LMXiIc5OTgNW/K6Tizu4iQpLqAfRgOKVD4AxCftmW7ncZtQ+ZvnjwvPTMZ/qDV1VVp48AcwMo+mf/ALKsm6uxb30HmDFvNbrvf0OCB+hNUrbWFihsS9wm+NmEijumOP5CtHJI535jfEk6JZ2bIy7o02nBHGQDz+dcddSPNIPlLSliu0HP0xU19eNLLcIHMgY5Q+gGar2cqtqtm4bhJosL6jcK5ZLnldiqS5kl2LIjtYZC0rvcurBZI0O1euCN3f8ADFMmliErx2yLFEo34DFiR7579KobkWaRMlWDsODkg568+9BlxCqsx8xSQEHOTkcfTp+VTKL2MTWimlEgkVCrlsnJ46ccfrVe6jYSLOCgKfLJg579arW9xIYSd5zG27gjgk4qfzvLkDKiqjcsp5J9ax5HGWgWLNvdkoVPHynG31x/hUM7nAZVJBwVHo3GarWlwYrsSLkhTlevau8jkV47Z5FAKlWJdu+D7V00qSvcLXMvQbeSWYzzwFlAxGDxk+vP0rstNnPmFAz9CGD4496zo5hgFQSCMcOetX7KYCcoeGwMgnnNdkVyqyKSsSXgLxgqNp28kAc5Ncje6Z9oBnZ8ueQV4JHrj68cV2nLxMhA4PHtWXPCBIpYKwVdhOecj0q730Y+W5wEkVxbzqssTosY+XI4JPH+NPmuwy5BG/IG0DqTiug1a1nu7F1lkTz1bKqpHzDPTtziuTm82K58uWJkeNuVIwemc1xV6WtzOUdTRQiKMMCBsUkHjk9x79qrs/mMEY7TGd4J/i9aqGRmhBZzuGQo6HrToJ9rSSDDHBwCM5HH5f8A1q4/ZtXYrFm9uVkWQqSy7TtI479MVlwzlVWTaTt3DB6N/nNK793OWYZIHrj/ABqmZUjTClgB7+vatqVKyGkW1ktEjBmilJxgPG4x+RH9a3dGdi223uZGt5WCuVOxlOCRu/DOMGuSExY4JC56ADtW/p832HTLmaHDPG0anIz1J/wNdDVrDaN22iVTbx3TmQNOx/e8nGz+WavI8UttthC+XtIGONtcgLlJpMyXLE552nn9aswa4sMJt41wp4JPJPbk1FWrKT2LhNLRmtqWixNbWVlDNvPnyIzE9lIxz+FQJokk8cjRujKAygg5zzSi7tLgw3FzJGoXOYySQScjr+NXLWW2ii+WYeSp5aOVcAds12SUpax1CE4Ws9xqo9uPLbI2Eg/nUF5YXupQRC2RpPnweRitqJ4JgzJLkEkg5znk1JbTBNUhttyhCPNyWxyOPxrmpqTlrH5nTKouSyMU6VqcSAGCQYHPGaz9P029W5s3mtnCNcpyU5ABGSfTvXp5IZevXmq0sihwNwznpmumxynl91aX1xqU0tsEl3lmURupPzH0zUN9HcQLLm3dW3/IpU5wODXRyeH9IukSaKUxM5ADLJjsT/Q1Qv8ARWtpVlh1RlEhLeW5685xWc4q2p3zqwlGz/IxoI4DZswEnn7OBjA75quqCFdzgYPQt3HtVi6nZH3uG8wjBz6CqTyG5YRYwAOp6Vxq8n5HBLV6BGYt4cMv+6RkD8KasKrOMKCuDtGepqZbOAmNkkdT/F8v5/1qZYYwpSOaTcDuCkcim5pbCKJtmBWR2AJ9+tRczu5RiCW9OMZxWgAY5h5jqybTgk8jPX6UrtHtCRmPA4GD1/zimqgzMm3qoQ7TtG3OO2T/APXpkR3bY4x9c9PrWmyxyOqvHlcbSVPANPjtkt/kVlBbkjOOabq2QXKXlQgq6rkqORt4J96sw27RqIWDBn+YKPQ9KatuWmURyADy2JJOAW7Z/GpMmNmKsGKAjJ6UO7QAIIi2H4UZU8cioJ4FMSxhu52sc5BpHuB5e3p9B+uaheZjbn5hwwK470RUr3EV5rcLsQsC+Mnjiq6MiXSJjaAecHOa1Q2+3EZO5Bk4zj9azzZrCiyu+SSTtXqB6mtlLoxpk6zs9y4YjGBmvqj4Rv5nwv0dhjH74DA7CaQV8plwfmAJXpkDg19U/B1Svwq0UEY/15/8jyVUVrcuJ3NFFFaFBXgfjrStRf4o6hfQ2czxLJburqpwcRJn+Ve+V5p4rvoofEt2jISw2chQf4FqZSUVqC0dx7fvLUHaT8hFeX6vod9eaWttHaStLDKdh4AK5IHP0xXf2mtwiAq6EYJxx2qp/bMI48ts/QVPtEtSXG5xei+HtVtL3Tp3tQnkygud68KeD39Kval4bvb6W5j2JsN0ZoX39FJzg/ma6NtbQDIiP4mom11s/wCrA/4Ean2ut0i3ra5B4U0O50O4lMroyyhRhMnBGfb3qTxB4dOoalK5nCxybGxt5Vl7jn0xTP7cfeGGwYINNvtfaVg4lRTjoCKftPIUved2XUtBDqUl95nzN1BxxwAf5ZrXuyDLuBByobj/AD7VxEusqwxJPnPvUEniizgwxvfmAxw/OPTrWc7yQ4J9EdtdWkA1GWcRKJZUGXxyflx/SmQBIZRsUKMhsAe4/wAa5F/FjEo6iRtpGMkDOP6VLot+954hkmckBkI2FiQuF7f98/rTSbdxtWRYv7wJ4nktXZAUlDqM84JVjxWRPBBqGsXtqzyKom3blU4z8359ap+M5PI8dGRRkS2wPHX7pH9K0E1jTrO1iE11GuBnbnJ/KujlUlZiU5RfumVps6HSNUkjjO6JXUox4O0VLe6hJF4a0ya3ZUUSguoGe2SP0rOsLyG1bV4XJMV20ghZRkHOcGsmfUpTpKWLR/uozv3dCTjAqeRQVkrFc0ql2y7dazNqc0aTSeVEqeX8p4xWU0jROv77PUYOaPs9xEwMgRGIyoY5PrxjipILC4v0ljSRFSNS5L8His3HXUwauyrNOxYP0A6jrRHNtvopFbhWVsj2NO2GCRA7CXzFwSRx/nIproMA4LY5PGNtJWTsIl1WJItVvoyQJFuJACe/zHiq6zJkJJ2IyM8mrGvqTrupdAv2l2LY9TmqkYUIFZQSASOcfrVOI7Fu1kMb5OAJBjB7DtU1wcRxtySM5I79P61mwqSwBcgE+nWtiyaZSyJNLGwXjyiRnnp/OspRXMmTYitraa+vEggT53bqTwBjnNei2+kJeKLbKbIzu67R26/mKztOml09Gjub2SSXq25uVHYfyplzqIWSO4kuZ2RWOYwGbfnA6Z4rojGxaVjoJdM8sLAJhlTv3RYPGavJFEJPOEYWU8eYAA351j21+k0An8xmVxuVBkEAAZGD345+tayP5gBLAEjuQKsGTo6bnAJz6GsuO8N60gls5YjEMrvTAY81cBHnZByM44P+fSsvWb14onitrmKG4QhiZSMbenf3xQPdkbXd0tzLJNGrb+EACr2J4zn8a5bWHgn1SRLYM86jDBiG3Hpwc9ea7W4WGYRlo8EYO/cSPfj3HFYjWWmLNJJDZvyflMcgUqfxByc9/wBKJJSWpnf3uU4gnZGBuIOMkY6f/XohclCTs2hQpXPOa7a907SJVWU2tyziImTZIAS3I7g54x6c5rLWLw9FZtM321HJyifKSwGd3PA/u9vX8OedLTQVzl5VLIoJC5B57jFVmiD+oYdMjI+ldVar4Yn3rc3GoxKFP31TqegGD64qkU8Ny3OF1HUgxOAps0YHt/f5pwTBM51lKzHI3jpux1HtWvC8h8P3pjB3vcwqOwPyyVqt4f0oaDqVzaT3txPAsflxy23lYy4BwMndxn6VkFHi8PuZUaNmvU3BuDxGe3/Aq1cXu0O6MlPMaUrnkd85FTiGeW2aSKPcqMA5HYnpSpdRwSKYo8jOTkZq3b7pd7C32qxyXZcDmoclFXY20kC295DFDOy5WTAB6gE9qjmh86d9+3fwDj1xV0GN5UBmcqGBwRwfpSW9pbzXRMdyu7OVQ8GnRXtH7u44yiots27a58rTm8txvROmc4OKpxeI7sS4nt4JlXOMrg+n0/SnTWkPlxxxxq128m3G0g9MnDZwe3HuKzzBLA7NNGyBhgblxnLVdJToO3NuVUpqortGzNr928a7I7WLHON7EjHp0FZhurm482VnRWQA7ljGeT6nNSy7Tp1vGCpZpDnH3hW1Y6VpC+bFNLLJIcKULAdWIA47nFd0Kq5Xz7nM4WkuQ5YxuLYRpcrJIPm2eZjHykAAfjUk0k0SKs0cmUDPt5xgnGT+X5V1N7pthcDEdumR0LHJ/Pr+tZc2jushNvJPEDj5Fbcv+Nc08PNwbtodn1ylP3Gzm5YJZZGXJ3jnb7U7EUBCSPiXu6njHpU1y03muvOVYgnGCQKzLn55OhwPQ15yTbsYk6z+YSC5Kp0IwKRZFjy+7c3sen1qm4Z8rAhJxlq1LHw7qEkKSi3mkjcZAVDg1bikOxQa7d2yMADqOtWYYnlIlk2qu3jPGf8APrUU1nJBfIkkEqDG5k2ncAPXNNnuQOeckfdXH86HHTQGiWUGOUorBwcHHcVK8kc0YYhRKDkKvHHp71jq58zOCuenNXrBliuDM0ZcYwS3IBNEoaXFYvRK6xY8ox7gASQemc/n0pk8qKXXIy3O4DAJzmpvO+UjJKnGAarO0flEMFL9s9azi29xFSSTeG4J2jke1JayKGKsBtIxg81FOrAk7SuRn1qO3gaWZfnWPuN2a6LaFLY25WDKqDZgkElQBnioJGiLbjnbjG3uaZIwS1HBaQHLNngD0xVYzKcfMwOMn0NZRiImZYvsZhRjGcg4PQ/WvqP4QHPws0U/9dv/AEdJXyxk4GOVHWvqb4PHd8K9GO0L/r+B/wBd5K1grMqO53NFFFalhXzh8UvEtzYfEbVrWNFKp5OCfeFD/Wvo+vlf4vqT8U9ZIH/PD/0RHUyV0deDpxqTal2MU+MtSxhSB+X+FRN4r1Nv+Wgz61T060t57jZcs4j2liY+q4Gcng8Vq2ei2Murm2lFwIzEJFDOFb05yB3qORndKlh4aNFR/EWpuuWnVAeg55qtJrWouP8Aj5Jx6CrF1ZxJdzxpGPLQ4VmmUjGPWo7cW8DoZRHIisHZRIDkemB/jRyER9i9oFVtSvmGDcPjPsKYZ7qQZ86VgO+410Y1bS7XUWniEQUxFQIos8hgR2Xk81l3etMVkhtWZIGkZypGA2T3GfrRyrubQcW9IWM6aC4iCNPHKocZUuCN30zTrMRmcrIAQyMBkZ5wcfrWhd6q+qwxifYHjJG5yO/PAAzUEEe6eJA29HbB2IRj8TRZF8z5NVZl77SPKXk/MoJx9K6DwxdMl+0vzbVTcV2gZ42+vvXMeWFCKzIrn5cM3vV+1tbdCrXMjRwNjcS5AHI/+vRZdDxZ3ua3ji4SbV7S7t3Rna02Ng52nnP6GucMenCzieYnzXwWO7kDPOBW1Pc2AgdLLTiYyhUTyny0OT6nk8Vzsq20XPm5wV+VRubkAn265qnFysrl0JcjbLiTwR2iMo3Pg4DZOPSq5uAu4FFII6EZOKri4RpflDIuTt3HLH8uKs+fGsgZpGdSOfl+bp3rKUVF73MJ1NX5iX19NdhDEhKKo6DOMCq0V1JsdC+A3B9SKtgxjJCMgJycKAeahmS3QsyRtvHvwDT509DC5ULvGSATn68YpGDSMNzBQTzt7CrccDyzRqYxukO0c/59KJIFNwy2+GU45PBx7jNaxRrGHcn8RRJ/bE7KMlgj/min+tVFt1Nn5g5O9VJ+oP8AhWvfxRnUFe5RnDW8P3cjJMajt6Y/SqmBb294HhwsckYAYn5vvcgj/PNVyt7BbsRrFHudmTejDIC8eWdw/wDritvTbV7WUSuiMwU7GBDAHjB4+p/KoNKgVpprh1j+zKoBL5ILHHyj1/8A1Vtw2sl3Op82Fdi4ZS+36Y6+lHLqTcz7aCdtSMzsNhzkZJ3E9zXR2sK+YzgkswC4+n/66pi0lt5tivGSvcc+9XLZbgTqPJUxgEFvNC4Prz1/CqSBy0JbfTFi1d71pDu24CYwBkDP8qt3bX6vE9i1vxkOJlyCOMYrN0/U3vrq5WG1dFiIXMpIDEZyRx7VppLcgqpijz1Pz8f+g0PQFqOtftMca/a3jaXdljGML1PT86i1HQ9O1G4866t0kkxjJz0p8rz/ADkwIeO0nuPans8xA/0f/wAiCkOw0xiNNg+6BgfSs/U4LizCFg0W5gThc7hVmUy7sfZiR67xXPSJeo0KuJG/0gs7Ej5lx0+nWqVgsTyTE8M+F65Jxis/WbeSS38y33CQnDxqThvcAfrT726kjt5po4miaM4B698ZNVZtUOnxJLLG+AevGRipcbhYyRotxdRmWFfMVfvfNjHGT1+tQ2cAstThu5G+SKXLqgJ4BHT8/wBK17thfNFf2ds4TaXYDHJPUgfgaii2XFtMyoWDnPUeg/wpRXK7oTimrHa2GvwXdlPdQRXBhgeMEsi5JOQMe3Brmdftnn0o3kMTFWuXkCkjIURxjP8AOtezuDB4YvGaFyvnRDO4dgxrIW7uTotqs0O6OQyAHPTlQO/4fhW9XETqKzMaeGhT1ic1bxobZpGiVmBx8w6H2p0l2wKBhhemOwHtWjeQyLGZ3TCMdqhQPXqcVmyQytLGjxSbnxhSvJGcfzricLvUvl1Hb4oQjfMjHkNwfwqWzWL7ad0KTRsEBxySSTnAPfPpUWo6Xe6aEa8t5Y1k+7vXms6S4R2XaSrDjIHvVRi4suLsrHf+HtMu7q2luba0iu4reSTcHZvNHQAL3zxjkUTag11bXahY44wCoill3SAg4P8ADg/mawdD8UXOiK3lTXCzElo3RuM9SGU8EE/jT4r77WrS7VMpcsxBHU9c1tKEJ2ctWbOrJXsTTNvhtI42lMiNyCAApJHQ4roZNKuo7j7TGVkXfHII8YJKq2OenVs1k6MFudXsopIdoedA2+TAIyO/bvXfwpM9lJcpFGQk/lhN5z0yD0/ziqb1sRyOm3ZnnElxfW0EccnmxARQxAMh+8zZY/XtXXy+XDbxiNk3FSxQdQB61eudMj1m2jl+xhHIDD95gqeoyCOorn9UsdVS4ZBBCv7vYxEmc/p70K97EzkpbqzOaurcXKNclNgLDO33ycfzrFuoPKR3Q9F4z610Mum6lHaG3WNAm4MDn0B/xrHutPvRGwkQFSO3ek6cSEzJtlmjnV1IM3UYGaurquoafJutrqWMj+45GP6UyaBklADEMkaA47HaDVZopAudpI7msGveKOhsfiDfxyCS/s7e7Krt87bskx6bhUU3ijSNRnk/tHQojGW+SW1bypVHvj5WP4VzrwzBcsMKR3NMSDzOARyatDOmTQtH1KTdo+tRiRultfr5TfQN90/pVO50m90y6a3vIJIX27sbcgj1B6Ee4rNjtXSQ5GDj5eeDXZ+Hbv8AtGH+wL+bfHKCLeR+sMnbHse4qZK6IehzjzARFRJzn6EGqhkR5CXJZgODmp76CSGeaCRWRo3Kuu3nIPNZZBjkztJHTFZxiCRcMks8bqSSO+Bg/nVUNbLOgkDfL1O7vUIkMZbBI3dKlXE38Ydh1PTNWkOxbeTanBVlbsCTxVWdPMkXyTgAYJ7UskYPyIzH2POKiiIRjuIJUdCeKEuwIlW3n8lWWRXDcYB5r6s+DalfhToqsMEGfIP/AF3kr5TW+RQBtO0dADyPoa+rPg1j/hVGi4OR+/5/7byU436lI7uiiirKCvlr4uRyH4p6yygY/cdSP+eEdfUtfM3xUSI/EfX1e0WSR/IKSEj5f3MdRN2R14OfLUb8jzvyHz99Fzx98U5bYyMF8+Iseg3EmtczW5aXbYQKrwiMbiBtPPI96ruPNMDkwRiEAfL/ABf5/rWKk30PQddd0UjbLG+1phnGcKhOamWyll+REnfP8KxbeRU0gR5Y5VlKMoxgKT1qUXUinK3ExPJG1QtN83QzWIjy3b1IF0yTy9/2ZiPKMwLSAZX8KfcWX2OOYtFbbotpK5Zsg+nT/IpwlYqCRKVRSvzSHGPTA7VFHukJEYgBAJy3XjtRaXUzeKj3J2jUThQTHGUY5jjzz2HSnSJblWMa3LFclWkfpwMd+xz2rX0zw/PqUTSy3LxoG27VUA9K0h4SskV9xeRx91ncnH4VXJfW5zSxdlaxy90VWR1CRrghiyrluue3SpnvALOJlPlEymPcy/d4BBOa19E0d9TspZluJF+bbIF6Hj171m6jpaJdS20U3mgEEHPccEfhVqD6GftJVGkkX4vCyvb/AG3UtSVomXO5HyMfU1hajbWUEQ+xzGVA4BJXtz3pEje2sbu1lDKXw8ak8EBuaqfaJHiihkiYKHG9cYJGR0J6VVmnqRUTi+Vod9kgd0mLfOoOV/Gmz5RNyxEBjjJWpZDbwxJL8jyE42+mOmcd+BWlb2lw9nHcSWzsj4EcEURYkdQzE8KOuM0nT5ncxaMuKTfGCjFiOWVQc+nBqws1urqOGLjnPX8a1tOhjsl+2zlFmwfKh8zJz9Bxiq/2VbhhFDAvmOcLk4rN0ri5SqfskMyXizASxOP3IXBPODSASGSWS2jmfc3SNPqeePeu0j8F280SqNXVZiP9Wtsx59M8Vy6wHTrho76aS1VwHjJjPzrk847dK6Ix6G9JSqPkuT3DTLPY4iMjtYrmOVc4Ckgn69KatkbyOcxyRhHbDbJMlPmA5B6Z5qWTTZdXNjLD8yJEVLk4AwxOfxz0q/IsYifT7BGkZWLy7QWyxIPOPf8AwpNuOxLXK2jOvZDEkUMUY+ywjhQ2Mn1PFJE2r/aTJbSoqnHyv2xx2FT3WnXTQjYQZNwDpg7kJ5GcitC2tyiKCecUridrDrI3yo815J58p7IPyFb1hDfJo8U1xpsgOwZJUgL6VUthHFLGDP5UoIdGwDggjqPpXY288d8HhOsI4Cea0QxyFIOOPpVR0Mnucnp5ZrdCEOSpOAOuTj+tTfbTJdR23kTxmEEuXGFYnoB9KrwQiHTGjhYnCYTua1ILGOO2jMl/beYsYJXJJJx06UblJ2I5fmZhjgox/IZ/pSgkqD7UrAecoJ+8pAGOTkY/rTIjmMGoT1KYx889fWqrpnqKtvkHIFQOjZICkn0UZP5CqEYWppaXkDaey3HnucsVIVAowRzjuf5Vzt5Z6tDcXnkFPIuAVYsQfl69CK7CW0ja6W4JIYDrnAx70y/09nhkgZgkjKRlTkDPSncDlImn0gLFGfNt1k2JN2bnpV68tZJnZ7AxB05m2seB6cjHHtVN/DereWsLalugV94XLYz64z15Nb9hps2mzLNxkgBxjG71P9aTsG6LltYW8XhP7PdalD59zKs20vtIIXhfyOa5e9llhsLK1L52B2JBDc+acc/gK6XVLRLuDfBHI0j/ADs6KCVIODhT1Jzz34qk8Umn20UKkvKIuFIwCSxPPTFa3U1ZKxEIuL3v5HLKHhtre3imYlWO0+pOe341uS+fF5PnxOjAjG9cHiqaJNdXEkiqu8fNlz39qngn1q4hW3mc3MWAEUqMhs+uM+1YtNOyNbdGbt1rqXmnXc1wnlrEgA8psHLMOcnODwenqa4zUCb9DOXUiM4wW3Y9OfwNbN7BLZWt3bXITzIp4weAUJG8kH1qPTrQQ21q0m24gvmCyJEDlRvwee3HGRVp20Gk9kc7LZXbWkU8UR8l2CiQDuSR+lNvLST+0FSyR2eRSNqjGCOvP4Gu61TamiGOCPy7R3CwqRypDHqfQAVhaXNaT+KLQRBt8RcuGPysQpPX0+9+lEkrrlJjdJ8xn6E1xBrERkjcmLDFHPbOc/lXqFjr1nfSNCJFEsPyspHzLgEdu3vXC6zbS2/iE3cZXF00WIx95FxtJIPUdaraOpbVLrY5XLlcjuOT/SlJSjvuKyZ6vaO8D7pESR5VxksTjjAIJ69qp3/z3kpPr/SuVtvEU2mMpkJETnI43xk8np/D0PSnX/isxOJHgiTzcuoklZDt7Hle9KMu5tLDzlZxd0S3dh9pv9zXN3Aix71mXZ5KbQ+5WGcknagH1PtWHfy3AllAiyoXjK96dN4itHkF09haedyN/mgsMe+2qV74lmm+SH93uIAKTZx+lKUuxcYThrON0WdNs9El1C4bVJrtG84KgiXKKoABJ469azNRs4FvZ0sZzcWoP7t2XZuH0ofW5bSa4ijeYYmcjbI2PvegqI6tDM7FZ/Mlxkgxn+ZNK2pjJNrYpzWUkgy5OewHIFRCAwBmKYPBHHoa0hqNvtG9tr9+DUM11bXNq5jLfL3x3qiEmQ2UsN1IFd3Sc5wpxswPc1b0UXMuu2WwLzcxbCrZ43D+lQwy+XbDcAEBbJCg5Bx0rX8GwwXXi/TBEzhVdpcbeDhSf8KT1LUU07lTxVKv/CX6tEQwTzyQTnH+c1zM0aA7nYknptrc1u+e51C7uHlV0eVmQcnqTx/Ks8G0cLJ5Wwjr71m7pmVmincCKWMNGwB4GO9ViQmAoJIHUDFWriFDKZQQqnnC/wCFRGEu22Njhj26U00NDEJK7mcK3uaLlQXVkcNkdu1XYreP7K8cq/vs8MRW7pFhZtYYu0LK7gKpBBVeMmsqlZU1diucijKoCumccivrn4NMG+E+iEDA/f8AH/beSvlzX7G3sdQ2WqSGAoCGfufyr6j+DJB+E2hkLt4n4/7byVrCSklJFRZ3dFFFWUFfNfxUn0iL4lauLm1mlnHk7iHwP9SmMfhivpSvm34l6dLf/FXVY49wLeT82BgDyY+9DE79DkI7/RlTzBpTdcBTITzVw6hZfZlMWlp8w5DHOKi1jSE0orDFdi7kc/MEbDJ9Rz1zWdHDdTQsgtpHdWxtAJ+nSloJXLgvIoGgcRl2MgDI2MFceuMg5qtqN4Z7kv5Kxx8BF3FgOOetWP7F1oKrx6PdSFQQyiJgCPr7EA1Z16AaZs0g2csZlCzpI+PmPOff1FSk7nX7SmqTi17xhI7NIF2jr2UVdhYiCX96F3YDc5J5Bx7U2CzlZwVQn1oW3uFaSPyHJ74GMVUdXYwsjsfDNyGtJtu35SuSxxxzz+lakepxrJJ50kBx90xHOa4K3lNqzYVVKJysq7sE9T/n3q1p8YeSQebIsQ+YgP1zznI/HjtVr3U0yLKVze03xXN4fsHs7dNxkd3UbRnAOO/4VjNc/are8uZIZbcKPMCjj05GffrWt4dCJdxNG+UkWdQp6qVZcZ+oqXWzKmpuAwHm6fOoOM/OACMflSTsJNxejOas9StxOizW8Tbjjcclh9D2/KtPW5lECWqxQRW04GZVIkbGfbpXH2zatczxRzS3KxFhlmVsLVqa21NrwwqZHiSQYYIdppvUbd3qdHoOoW/hq41lUt5bwSkC0uBF8pwThirDuDmq99qV7fXBdnlnyqndO+0A4GRtUdM1baJ5YoMhsKpDZ68Ow/kBTZoEhjj44kkEYGcc4J/pSbsJIzonljgeNpE8t9v/ACz5G0nofxqzpV15GpRyLMYmXlZMjg/j+NPNsBhOACeBSrD5Qb9x5qlSpX6jFTcqx2F38RtO8loY1v0uozkCBBtLemccrmuasJv7W1JXv5DI5g3Pnjoent1ohhaMKdgHHTFSqiLIHSPYRkfJx1od27ohJqSlF2sW7+d4lMFjHsBHDqAOD3A/qazNL0qcC4C6kbSTKucE5cAnI6+4rSt2YziIFV3feXGSy9OPfOOar6lZT6dtkuImZMkfIM7geMcHjrn8KNXuapPclluF0C+Y3N28wmIDywuS33ehzwRnirNvdWE10kCSOZduSpQ8YAJ56dCPyNQ2WnzLF+/YHJJxjOPbPetJI7oyMxnHlCIR7Vi6KD/nmhWRF2yoJoVvHVJt8rsB5GQCuBkEE8etQ3F0jvFHFePBdmRotqkMduMHoMdf5VXv/C1tfXjTyyzpJ907TjpU2meFLGyvUuA07uvTe2avm0J5dTZF1Fp9tHJIB5SnLZOPl6Hn6VrS6/4UWISfumOMD943X0x/WoJoY2TyymeMYxWaNJtmlcQW0AnVN/zoACMgEZ6Z5pKSSBxuxkNxeXGsQXIV4rbnEbEgOMggj1GD1q7CpWPHpxWboM0MsXlyNP8AalXZLFJ0TBI47YPsfWtnywEOFwO1T1uU0kQuMjmqF9ePYWrzwOySAYBHbPFaLKcYx1qvKgYFdvNMFoZaxiXTFhVy+YtuScEjGKrWV5a24NldRH+0DITGUzt2tyTxx2PatdY8DGKz30qL7b9pUssnfB60x82t2a+jR+bq9umzed2QNuQDjgn2BxmtjxOZ4rSBbm589vNysixBeMfMpP1II+hrmvIlXDQ3EsDjo8ZwRULWt2yJFPqN1PGpJVJWBAPr0oJJ4pzbEvktnsD78VleIZo3uoblJgu5dshzg5HqPzrSSJkOMnIpjWtvJKon2gDlugO0detJ7WRM48ytc5/E4s7eS3Ak3Md4XBDKSadFYzKZYGkFraS4BkEhBUjOCSc9yeldFc2mnpclLGXzY14JUqQD1wMegIFc/wCJJpLeC3ALKjPhmAzg8Ef1oi3E1pU+dqB0keiWlxZ/Zk1SxmJ5YGb5jxjnIrHvPDup6Zb4+1QuoYGPMgJPOcAE89uKxr3wzq0NzCsZMkJO8zxjCA45ye3GPzNYSNdDUEhFwxcSKFJJwDng0XOqFFttQZ2+qWpmtQsj+QYjnhckfT3rB0QWum3LXNxB5lw8hlgmaXAVQrBlYe5I/Kuoki+3WEcczN5pVXbnBJx6VjPYaZEAskkreTlW/dhlGWJ/PJx+FXE45zio2l3H6pc2z3kDiVnCQoyuoB3d6zZbnTrfUp723MxikgyUjTbsJJUc/StMR2M0K7dS+aN8q7w/dGMbemMU6SwtZXZrRonfbyyr60qibTuTSrU27FLUJIZNPsJfJRSjBB5Rz5gKjGfQ8/rWLrM011YRSSl8B/KjDNkhVHT9elXbzTLmJdkWAN+/gcgjpWJezXTsEmLMgcuoxxkgAkflUPbQ7sPZzu3Yu36Wy6XI6k+YsixhWP3h649KgtJH+0W0DRJsaQDcY1LZz0z1xT7C0vtcu7e0cSLDI2fM8skLgE/0Nat3oltpN/YurlpGlGBtAHy8kmhNrYyn7seVvUypdQQuYHjgBZ8bxEA3X1qhaxssks2xWDcjvjmtBjpUrsYrZw6jd5jkrg/rmq1nD9kaSG5EQb5lw59sA/rQpc61ITUUyn80hZhGeSeacbVhHu8yNG643c1fNnNaQZbyQpG/7/JHsKrWfk3khSRH3OwAwenPetbQsZxc3KyLE7ObVIwu0BDkjjjritz4eIYNQ1K/ZsraWErr6A8D+hrOlVbrUm2r+8U7FRemAMf1rd0uAad4Q8T3Y4MqRwDOOpzkD/voVCXUbbtY4B5GLAbjj3NaEShrQjzXxuyqbiV+uPWqUKmWRY1B3b8k46CrzAb1OM4yMjgcetS9Qk2yJsQIicMwOeRxUYkMOcqpOPur2prPIzMVGSTwOuKYpYBiq5OBuOPyrOxCJ7GNpLpY5XG4ngs2K6C3uXW4kh8tfNjThjyBz2rEsGklO7y1IXILd+lWW5jkHO5lIHzd65ay5pWZD3Kur5EqxpIJFAwwDZIPevqn4SoyfC/RVYYISXjGP+Wr1836FpUUN1MlyZA4QYI4DZ6/lX038OfLHgLTBEu1MSYH/bR60o1U5+zXRFQetjqaKKK6zQK+dfiheyJ481hFjhHlmLDuuSMwxnIJ4r6Krwn4h2cc3jnUmdAwbyuMf9MkpNXEzzzQrywGrPNdyMjFQVVYs+Y+CMHsK04Z7z7V5yz75V2kfKAcKcip49LijlDRQoreoXmtKGzK88ZpSXMrF058krmNNqfiKect5sgfcSHVMEfQmtrUo4dUisZJ03TRwbJd2OT1/wAanEKhcnk08ouOQAKo1rYiVVJWSt2MuO1t4VVI4gFHYZqZLYZwkZFXFNuhJaVF9t1PF3bIcKxb/dUn+lI5yn/ZsRVjJHGSe5FJ9hUx7YyqJ3CjFXWvlAwsUhHuAP5mmi844hA/33H9KAKWjaZHp13JJKd6FmaMAdN1aOowx3flmIFGU8nbk4qs11Ox6xL/ALqk0xpJHHzTv+BA/kKYhxtUiXO3ntmmNbxK4eSRc9hnioysbcHc/wDvMTShI0O4Iqke2KAK4ZIpp98iFWIMYA59/wBapX2my3mCpWMFWU89j3/DtXRQaVeXaLLFbuUYZDngH8TUh0G4/juraP1Bk5/SpbXUL2MRYAiqGwxHenM6Qru2Z+gz+laD2Qjdk3o4U43r0NQXNwtjA0mFGMnewyBx3xzVwjGT1dkVGzdmyjbyPOWjcP5kbEMGXHuKtJbySOIo4yWcgADuazV1S5u3u7iKwR/3RSOfJBYA5HP+etaOhX9zLZxXEimOWJ8K2eW29G6cGqmknZbBUir6FfXob+xW3sJtO+yyXMmxJznLAY6kH68f0qumiXX2qKSTUPMy27ywWO3aemDXX3ur6DqlmlrNdXgvkk3pI0I4bBGB+vpWPpmmxw6sLq5leZGPKdPX/GldMpOSXvF+RXt4AAu9zyfaqWu6nNpFrFNbfLKjhTnng9eO/StS+urSwcpbsEVUXayjcxA4Jx79D9KzL2ODUixdRtfnAGKHy8q7kN9LD9NvTfWUE8mN7gluc85rSgy04zzjmqFrbxW0axoeFGBmrsZ2nINSIuxuDKzegrF1KaQMgVXKnO4qOnH+fyrTyCNwxnvUEi7qFoNOzuQ6RPJLau0saq/HSPbxj+daBf8Ac/Q1VjwvFSFsjGfxoAfIwKKailPIb1FDkAYLCoS6kZzTEKcLL7Go3GGI9KRiM5JqMzxDILjPfmgCWNgylcH24pMblPByPampCzRG5SeAQISJAcls8Ywegpn2mAj/AFgoAcxyN2CGFZupayVibSVt0Y3imIzDrHkZP8hWoiedYTXisvkwsFY55yemB1rF+yhZWnZy/wC8LqVXoD2NJsaTauP023urYztPIrebJuAB+77Cp720jvIDHMgdeuKje9RV4Vj9arSX8rcKcc9cUWBOxYGtalaW9rZTXz2tqu5WlAEhcnscnoBj8zXOroqpqC3D3RYSSnZhMc9s9a0bq7imj8uaHzGBBGTgZp8Vhe6lHa28NrOx3q0awDeG5PU5HT17UNMqM2tiYvLZKzqyuwQgKRyQOccVjzCNdZTzJRFbFMlTIAGY5yeuetdNd2Vppl9dRPG8vkZi+0yRnET4BIBGRnkcZrF1K6ju44kmilNwN3mLKg2gZ+Ug9c461ootK5hK0rrYbHHp6xtCAjozAkZ37j2Aqzp4trGS5X5Y4zhlG0gKOhyfy/OsG2jtrOWSWW3dzt/dmI7SjdiCPxqVL21guBNbA7jz++U5DE89OMcfrU1ajtZImhQ5W25XNSDVLO7vr63ugfJSMNEVf75BHTA6GlvJZtQCfY9NEkwjAMu0bGwcfKvfjP5Vz/2oqZpU2iWV3DkL/CcdPSobG71OxRUtYhNEMkJJEGxn0JBxUK9zq9x7ux0C614k06xhQWAaIFgVFrjoOOV+tQXGp3+r+dPLZrC1v8zFE2qVIx0PccdPWs8eI76BZMaakcx6SKihlPqMKKqalrE9zMm+aeT91tPzuwwccfMT6dqoOSHSRHchfsyptUEnB+Xn86hupZZ2ZvLY7l2NxkgDv+dJ9oXIP/oQzV600/VdRj8yy0+6mTON0cDMufqKmKaMoR5dyu80d1NEfKWNYI0Vl/v464/rQk8JvTNbwhFCZIxgZArYXwp4pZedGmx6lBn+dZ97putadEwu9LmjjHVmgbH5g1VmXdGat35V0HBkDljuZMf59a66aRovhbHkgvfXxJJA5C8f+yCsCz0ye6sHvZhFbWa5CyOv+sb0UZ5+tdN42YW3hvQLVYgjeWZiifw5GT+poVyeZN2RwTt5TnaccdRUlqiS7iD8xOODziomuFb+AH6iupez02KJRLDOt1tUNsYKpGPpUPRXY2ZenWkDzMJod8aIdzAkAmte6itdQtX2xrFMQFXAzkLgcmpLe1sbaxmw8kchUSHLZGMD+dYrS+VKp+YE4J55rzJTlOo5Rexi32LX2GKDTfLiYyTlwW2joOmB9K1bVbGwsiq7HY/M0kg+bPT8KyICXuFjL8E7cr29P1qa8P2ZdjoWbHOeBWc1KWje4tSaW7l/hAZV6g8ivo34XSNN8OdKdup87p/12evmCEyLGsQUEOd555r6c+FWf+Fa6RkYP77j/ts9dOFgozfoXBanZUUUV6BqFeEfELUlg8e6lCY8keVzz/zyT2r3evnr4mOi/EHVNzKD+66n/pklAmZP9qMPu7B/wEn+tNOoSn/lq/8AwEAf0NZn2iEcmRfzpjajbr/Hn6CnYRqfa3PVnYe7H+lCylm+4Cffn+dZseoQyZwSAO7cVMNShiPCkj+9SGa0TOgPbPpxThKXbAOR69qxjqvmKQYyF7DPWmLqcuNpVQvsKLAbe/j8cVIAxrEN7I23AC+uCOacbqRiMuPz/wDrUWA2wuCNxFIyq44k2gdcGsRbmVizBjgn0PP6U4E45z15+U0AbcaW8fPm5P8AvU9pLcMO57f5xWGCMdOfp/8AXprPyTyD6ZGKdhGpquqLbQgCV2VYS5QMcgcAAc+/6ViaHd3E0b3F3I5UnYNzcDnOf1xVKPS72/1P7PbfPNMdqBpQM/iRgV2978MtX+wJdz6hZIWw1xAzGNFA7Bun1yO1RKDa0E3pYx59SkgCqjDHOeKo3OsyeWQ4DLkEgqCCPyqlZ2zoGQupUOcbSTxn1q4bVSPm5B9aqMbKwLQg07WmQBZxiFd3IXjGSelWYdX+0qxizySCpXAHuMU2O1XpjAqdYNowpbHoKoHq7lYXkNqoY3Eoui+1V2grtx1z61cGpt5iBpXWPIDMvUD1qnJpjSzq5WQ46ACrCWsyAMYCQDkg8Z9qlKxtUq86SfQ6vxT/AGbpmkRpKzz6hqKoRM27jAAyMgeoPHTPpXOWW6MKnmHgdzVnxL4qvPF89pEulrbpaSEqwbPse3sPyotbKRRyACe+c09DJslkuio2p19c0RyzEDMmBn1qVLEd8H86tJbog42A+pFAEIY8ETHI5yCalzHIAWkZSOvJ5/WpUKoP9ZH/AN8inblP/LQH6KP8KQFRrWaUHyVlYHjK8j86eNkYAuJAjAYwvJP5VNI645kYDPYUwIvJy/P0pgN+026KRDD5rHg+YcfoKoSSqgaSUbUXJYg4wO9X2xnh3B+tZ988Ygl37nBUjazdePrTAt6lpVvpixmFJ/8ASszFnlDAHj8vpWdsP9wfiarW2urqEm2SR3QKCE+6Ij3Uc8jgdeeatmW3PJHX/aovcHoyraanqMV1caaXi+xnkARgkbhuxn/9dWyg25GM1TEVik3mC2+c981cjaLBYIpXvk9P0oEyxpl1aW17LHeWsc9rJCfMGG3LgjkEdPrVHRrRfB94ZL+Bbm2vHZVjJz5sRVTlCeQQSBn2NLJdWiT26Topt3lVZgGIynccdqS+14a1qMkUlrAYbclbcquBs4x1/Cla5S2CWS3mnlNorLAWOxJCCyj0OKqzRhfmB49Kkm1CGwhMkkaKq8DauT9BU/2/dHuCjH+7TIHWWkQ6hHIr3aq6/fiA+Zf84rWjtY/DWnC8W0lQbSEeEs0zdj93oK4+512wW6L3EADjA8wR+nrS3Ou3UmmnUhLB9mD7VQkhyM4zkdPpXOq8uZx5GXKiuVNSLcvimGOH7PDDe28BfzHTBAJ/vcjqPasi4vLO7meSC6Yv1ZZARj6UjeKomT5U2HsftJx+tRTeIrSWFUeIlgQSxudwP4Vp7WXWL/Az5OzJXgkEQk25U9wen1qAxsf+WbH8Knl1SW605Ll5US2Mgj2Fssc9TnpT4LxjCgCR4AwMtmrUr9CkmtzPdSoJMbDH1qa2vb5rd/IkOyMAsM1pLb311ayyw2gmiQHeVb86yba4tYIZFDsySqhcDqmD0Jx0z6U2iJpPV7E1yl8rBnm3biQrBuH6dPXrWbPFMHYSRuGB5BGOabMytKgWd2jjJZQrHAzyccf5xWg13cSgyuYznqR1osWlH7KM62s3ur63tgGDTSrGPqTivYbDQdT0fZDoF7EtsJcOWbleedyngkfrXE2fiPTtL8JNt8mXU5Z94ULh4sHCsCRwRjNWrX4jQ6wsGm61psFwJJAqTthME8ZPp+BqtEDTZu+KNW8djV500nT0FmuBHKNrs49cE4H0xXJ3GofEhm/ewXJXuFt0P8hXVa9c6zoKS3yXEctmWDrFPF5YEeOit0zzjHOaLrxEltZrdS2t35RAJKorYz6gNmjcOVvZHGRDXL9ltdV0meNGIHmx2+wKSepBG38eK6Xx3oF/qLIbJt8cEIj8rzNpOO+OhqTSvGGn6lq9rZxrch5ZABvi2jjn19qz9c1XVH1bUZEuUjsYZPJSPA3Oe5xjJ71EpKKbIUdbo85FvMHYeU+UPzcdK2Uu5Li2Wa4KuxYnPTjp3+lTGZouUx6n5aqCOQ7gCsgck7cYNcUq3tE0VzaWLjSnyQzT58wBCAew6VnXDv5yF2BOcUsj+SQojZTjlD1zVW5m8wqWXBHaopw1FFGuigSRtG+WYcHOM1HetISFMwIU9M81QgeZ8mKJmKjjYDwPWhYZ55A6Au2M4zR7P3rtisaKGPcoYsruMg46ivpz4WHd8N9JOc/64Z/7bPXzXaSxGPyrldkcbeYQw5JIA4z7V9I/CchvhppLAsQTOfm6/wCvkq8P8bKhudpRRRXYaBXy/wDFt8fE/WBn/nj/AOiY6+oK+Yfi1ErfE7WGLqCfJ4J/6YpQBxO/ik345JNTRwozAGVfwzVhbCDOWnY/RaY1YrQBpG46VofM4CkjA6CnxpaRY2o5+tWElgx/qh+OaA32KgWQk4zjtgVYgEqZO3J7cipRPHn5YB+tSJdkttWA59QlIQ3dKRhEBbPTzP8ACnxwXAB4Qk9yxJ/nUiTygACPp9Kk8+fHpn/aH+FADUtJiP4P1qdbGU4+7/3yKjM8397/AMf/AMKeJpCPvrn/AIEaBMn+yeWAXdVHvtFSra8ZDDB5zuH+FVd82Mt0HJ/dn+tNkuC4xnK+4AoQmyaWx8w8ygD03VfMsb6c8c3zBAsRkLFhz068Z6VnafZzapex2luEEjnjccAD1ruLPwIotjHdXDtuIJCjaOPzq9SU11OLjt7WMYDg/hU6tar/AAgn6V1F38PnxusbvJx92XufqK5u+0XUdKJ+1W0ir2kXlT+IpWEmIJ4gfliJ+iinfaQBhYjmqYkYqdoJpAx/iwCKCi413IBxFj6mmefcNkBUBzjk/wD16hecOfUgelItwcMcYOaQE7ecBkyovsFpFeQpvMx+gGKga4Yj2PrQrsy7QB+VIZYMq45dycf3qaZxjATFRooJ+dcAdT0pyYwVPTsaYEqysR8q8elWUhuCA0gES46uar2szQyBlGaLy/gWbfJKgZuQjNlvwFIcYuTtHctf6OD95pmHp8q/41MssrJ8hTZnlQg/X1qiquD/AKsnd2NTwvMyY8ogDqM4zTEx/kiQ4BXcewWs67tRG5RsHdnt0rUWJpCGf5QOmDzQ9vHIw3BnbPBJoA5n7KluXfZnAzhRyaLC7h1C186NWVSSCrdQRW5qFjBJp81udsYm+TJBPOCAOMnGSKW38Laf4csYoYLs3M8mGmJTAzjt/hTHbS5hzPHAFaR1RCQCzHAHuTU8HlwyMqyyzea5AyFCDA/hPXB9xU2twRzWPllQQzAMMdq5+3tdLOPMuLkEKFMkc5LZ9cD+VTKVi4QUka08MdxERjIb9Kp21kbORjlyOoH+Famk3dpcmS1iBYWrEIx6snbOe/OD71qT2dvfbIrhmS3zmV1YLtXB7noOlF9CeVKVpPQ4bWNQ86G3eJJIv4xu4JyDkEdsf1rYsxIbGEyIyuY13A/SpNU0e3MGzTDK9tn5Gdt2cDHB/wAa07JSLdd0Ijz1UdBSi76l1XGyjE5+502OV9xQHPXiqcmkxY4jXHXpXZ/ZoSSdg5qF9OiPQ/nVGJxculRumDEuR0NVxp8YIxFgiu0k0t1Py7CD3qF9M28tAH91OKAOW+xLtB8vFSJHtGBXQtaWoBTyWEgHTdmqUsEJyvlbT65pjHrrL6fpsS2dqysVPmN527zGB4wp6de1cvCJpN1vJE0caqSVwflPB79ck/nWsdRtW8qORAgh3BSwxnnk5/ClnvoNjAS4VRk4bJ+gFF7noxwLcU7/APAMdrcpjIIBOPbPpU8G+1lErQiULnCMTgnHFdZ4cvoIGI8iN2uIW4OGJAJBUDsePrUAtCihp7WeAM20B2GfbIotocDjZ6HJJBBMAZZNrdcMpxn61PJDawBZMIzA5Xmurkj8LCZ0uVms5oxjzIpPMU57lex+lc3qOkwf2hjT9Qju4HXcJFUrs7YIPQ1LO+jVhCOtP59yvd6hcalEkFy0ssafMqs5OBWjey61baLYols62zKcHBbI46/TAqjZxRajFfXIlaIWlsv3QPmb0+mRWhp9/dW2npHbsBuwdzru471lVqulG6MK9T3bpWKlnPc2aFZ9pLNuDA9/ekntzuW7DE+cT97+I9zVmdjNHcXFsjTqhCTs8fCsemPQ8dqyjuYcZIXqK5FzP3no2cVydHEnmREgELwVHX86bLJ5bblHzAAZxxmi5he1VIxLG0m3I8pskfWqk7FU2ktvbkj0oUbsLWY15jNKsrAAk4JI6VHLblpQFdWGOOeBS28isxWTCehJ4NNlVS4O7jODgda3WjsCNfR3ns7SeQbg5UpyMcZ7etU5ZmkvIniXAUDGRjPv+dS263MUAjLb1B3At2H+FRXZWKQTE7nYYAHAArBL322IleeQJIWjjJHOSeh9a+mfg7n/AIVVopY5J885zn/lvJXyvHKZcrI2A3THU19WfCUg/DHRyoIH77r/ANdnroox5XYuJ2tFFFdBYV8yfFi2kk+JurskZbPk8/8AbFK+m6+cfipfNb/EPVYmjIVhEBIv/XFKDow1OFSdpuxxMVjJBH5kkLDd/EVOKlVQTjpVlr3+0THFc6lJc4PCTSnaCPbpU4ktYl8tS08gBz5S9MDPXp0pm08E0ruSRJY6NdXkUstpDLNHGMu6xcL+J4qqi4u2h81mfqEVQMVpaRrFzPHNpC3axWkuGPmgMoOf55FKyaNBq7RXE6F33BZDKHj2dcFlIORzjODSkmcezaZmmNmZlKyAA4OWwTU6QHA+VAPeSuv1Xw5ZX1il3pWpWM8kMIH2cXAZnUDJI5zn2NcikTjrCnNBIojCnloPxOalBA/5bRD6JmhYmUZZVX/gFWEtmYbi4x/uUCGI4x/r3Of7kVSDOMkXTAc5IxUTy2kcximvPKIHRmC1HLPbFlWO9icHjmUGnYQskyucLvC+jNmmAZOB19BVwWTLGS3X020gsmC5Gd1MRTmW8S0na0WQXG0bdhw2Nwzj3xVrRPiJrmkadNLfs12kMqRhWG1wCGJz+Qpkk4sS89wzYVeo549MVO/2PWrICeMTQt8wzlWUjj6gjmncV0eheHviDouuW8cjyfZWd/LHm/L8+M4rV1PxHpOnh43m+0OG2siDIznBGTxXjbeFreSyitLa6CRicybpjnbuAGeOuAD2rf1ZHKW48xrsqDCGiQsXdep4GeQVb6s1NaktLoWtWlstUV5rDTltWU87XzvH06CsHyZQMsjjIyPl6it/SfD+v3DBoNLkhQ/8tLpvLX8up/KrmreH5dIs4Tc3STTMSHCjAUdgM84pNDTORZWTHUH6U9FcsQFbnqeauXK26RbppVjAPBZsU6PUNPPIvLfP/XQVBZR8p9xTbyvNTRW8j4wCPWtGN4Zv3kTpIOm5SDUgABoAofZH3ArkjPQ1a+yoF4+90zU4I9aML7UAV4oUhfls7iAOM4rTl0bw/BfpfvcMs7RiOHzThSx6nH0PHH50zToxJqNvGH2ZcHcOoA5JpPFT22n6pa2ENwWgkjWZVOAQxYlgQAO2Dz7UXGnZ6DSFRiPMD+470se3b2zUaSB0OApAqSMfL6UA3cUFfUUHA7ipBgjpSEe1AjL1QSSWpEe0svzYJ64NZunXNzKJXnZi7vklj3wB/SujaJSclQR7io5LdUOQqgHkAUW1uO+ljC1JZHtJAASdp4B61xcc9zbSnEJjyfmGN2fTrnpXpbQow5UH8KqTaZbs2TCn/fIoKjNx2Od8OIYllnKFXc4+oHf6nrWlq00/kKnkvJbFlaURthiAc7RxxnHXmtOGziiHyxqB7CrNvBvkEQGTnCj1zQS5Nu7OesdVtRcPaW0E0MDBp4YpTvcDAyMgD09O9b6DitxrONNMJS1gld+RIEAO0nrnr0rGC1MZXB9xcYppGewpxoqyRMcYpuOadRjjNIZE8aN1UE+uKzruyjdtyuqE/wB7pWowGxiWwR0GOtZt+DLaTRpt3lCACO+KBozpPAInJe11NSAxPK59+CDXMaxpdzpd6IbtkkcruBU53DPetGwsroMDLMbOXcF3xv5a5PTJHFJrWm366jE93eRzsUG0eZvbHXHHv60jvVNxa95P5aljSxHBZJ51msp3EHaPmGOKZe6tZzQ4tWnWU5DI+Ttx9ahfUYTZRxrZQW97ASxuA5zKM9Cp4J5/SopmeeFbR5w9y1wiLg9UIPOcZwOKm7R0qFSKu0ihCiyyTRsjnbknGeaW0nMME5t4jJ5jBRzg4x+ddB4XS0DXM099HblpTmN35YA8cdvrV7ToBNcSRw2tuNzNIA7diegPemc1Wo1DRnI2tlcRRPv/AHMUpG5Vyc+matNM8LhEJ2qcjB6+9bWseUhieKSIkE7kU9DWfY2EOqTTtI5hA5UK2cn3zXDiKqvrsjz6km9y7o+oRWmn3MQjDCU7iMn5mHrWDNb7bwjIRJGGT1xxVjy5rQPGwIIc/P61BICUD+ZtY9QB0Hr+dZQu5Np7maH3NsYZgqyqzKuAyjr9ay7ssJX5L/KDuq0zuuc7W75zVOVsFsA9efYV0U0+pSRLaWwkgdnVGLfdYnkUvleVJhW3nofTNU4rkwlhng989Ku/Z40VWjk8z+IA4w1XK6eoWBZCHaPP8OWYnGB7VXLEAs7ZA44PGKke2LMHjAQHO5M5IPp/Wq05CrjcAVPQU4xXQEh8M8fnf3ADkHGcV9XfCWQS/DHR3XofO/8ARz18lQh5HyhAr6y+D4I+FmjAjB/f/wDo+StIx965SWp3FFFFalBXjHjr4aXWv+OLzVotUtII5vKzE4bd8qKv/stez180fFbWtcs/iXq0VrqF3Dap5O1EchRmFCcfjmmhpXaVzRX4N3Hn721WwdQ24Ahvbj+f51ow/Cy5Tj+2baFB0EC4J+pPT8q8p/4SnXwf+Qte/QymtPRPEGpXUl19r1e8UpAXiBnIBYYzn8M8Uua50zoSSSc0zu5fhncxztBHf2WycfKrMzYAUAknH0/Oqi/B6/Chf7S044Hct/hXJ3Hi+bMUgu7tnTleSM5/HpWQviLXppZSmtXSDnAeZuh9KakZ18PKn1ud1F8JdXmENzbanp0IBJBLtk89eBXSD4faioGLvTsj/bb/AArxxNe12H5V1e8CpztExxWude1Xyku49SumGDmOW5YA8HnjFNXlsZKNldnqK+A9S/ju9PI9nb/Clm8F30FvJK91Z7UUscOc4H4V5RpPinUlu1km1C9lj8w7lMjEBf8A63X8K7lr2V0KvcyFWGCC5wRSQVItML74W6xfXb3Am0/a4BCvKcrwOOnrmsy5+E+ttI1tC+necU3584gAZx1xVLVYtcmvA+n61PFEFAEZncYx9M5rPGm+L5ZGlXV5i5GNwuHU49KdzOx6bD4H1ZIY1eazLhAGIl7457UreCdV7PaH/tr/APWrBS+vo7OCFppWmSNVkcyH5mA5/WnrPfKm97t19txP9aQWZc1HwNqi2/zG2bcwQASA5LHArIl+G/iiSZ5Db2GWYni4FOkkvbk7WvJsAhvvdCDkVyl1H4tiu5Vj1G6ePedjfaiMjPHfimmKzOlPwz8UZ4tbM/S4Wug8B+Gdf0XV7q9lggCeWbcbZlJ3Bue/sK82kPi/zCY7q9VD0BvCT+eRSQzeK7VN8c9yJBKHwZyVPXORnnNFxcp9C6gmuTjFt9miUryS4ZgfpwP1rn7nRNbuIJ0e3EjSKQZJZkz7AAHC8/WvJ2vfF94wMmoyQKONqMRWhpkWqxSBp9TuZT6NM5H86Vw5TZ1vwLrt7Ja28VsjSKWkZfPQfLjHr61mf8Ks8Qnrp8H/AIER/wCNN1+11XUIYjY3skUyEhmErKSPTI98Vz8mj+K9gU38rAc8XRyaEyjodF0a70Y3NteRrGZCssYRwwKMODx9K2QigdM1h+GtPvbGCb7e5Z3YFcvuIAFbjHtSGAAPYYpGVQOgpwGF560qjcwoAq3MNxHbvLbSMk45QqehrGg0m9u9S+2XE7h8gjcdxzx6107j5cHvT7eLgmlYZDHDs464FWguIj07U3HJ+tSsCEPuaYhbcfvDn0pJx+9NOg+8T7U2X/Wtz+FFgJ5VzacegqK3XcjjuOasnm0x/s1XtT+8I9RSQFBhtkPsasXCh4Q2ORUdwm2Y1Mnz2+PwpgUQcUxbg2t5DMH2bXGWPansOSKguYlliKuAR6UARXUi3N0mqLeSKu7yxAr/ACgD/Z/+tVyCdX4yDnnrUcGlwt8ylgRxtzx7UpjMT4A5FKKsDuSMdr1HFeQXnnCGQO0D7HHofSnmcQPHK1q05LogiDY3ksABn6kVva7Y2FiHks7JYHnk3SPGCFY4A57dh+VWo6XEYIoPSms4Vscj3oLAjgipACKqXM0MJjWWQRiVtocjIBwTz+VTM9QM8D3cDPMiPHuaMOOGJGPUetDNaSvNaXKSaZJJGYrbUbC73Ekr5i5P4HFY+rKdGgkjltIobphtVkAyc9D/ADP5V00loZUVpLe3fIPHB/p/WuZ8XWtnY2SXMMYinllC7CRjCjPb1Jpcs4/Edsqt004mdc6LqcoaSJlkjk+YIw+73xV/R/CHiHUVW4tLaDfESQgkTcO3QnPvW9Z3LCyh3oFcxgsBzg4pBeiOTzYHZJwcLIpxjPvSs29DmeIqJNX0Kdt4E1mBGc6c5ZeeGBP8+ayrt5IJUJcxSRsRtBwyn6dRXTTeKPECpLbyXRIx9/A3H23Vy2oX09+4jlAUAhtnTB9QevNc9Wco+7JfM53IZcBbnTDcGeITxcMp3b5CxOeehAFUbWRk27ciRWyrA9R1pZf3aYDFRngg5xQ5eEsrSKSejAVhN80SXruS3txLLIimQsx5yTx3rPaVhHJtAww53c1JI6HyWZgSeuewqtLJHKrgZwCSD7VVOmkJIkMTLaJLG6kZwR3H+cVVnlYRszD5TwMVOLV2tmYSsI1+ZV7Y9ao7TKqgZwTgnsK3jYofaqjsGkdFXGAdv86mQtuaIxhWPAIPektraI3e0lhCuA3P61q3GjQ29tHOZ0ct2Xgqf8BilUnFaMTZQEdyhJI+pJ7fSsxm+dwwz9K05PNjP7wmTtkdMVQaF2LELgA/lVU2+o0LBIUjDY2gdxX1h8HiD8K9FI6Hzz/5Hkr5KVG38k4HJFfWfwax/wAKn0THT9//AOj5K0S1Gju6KKKsoK8H+Ilok3jrUmIBJ8r/ANFJXvFeI/EOYL4zvlEYyPLy3c/u1oA4ptBtZRkxjPtTB4etcY2YrXifzRkjBHelndI7G5uHYK0KghM8uSQAB+efwpFRTlJJHmVwVYhZWYPENmAPQ042kpvUt7eCXzmUfI2GJyM9vat+wkthrPktpUMhmm3GSZshF6ng11SJpg1iD7agEaRN5rIvzEhfX6mko9z1JJRuuTU861WxFrKCpYAgDazAnOOenFO0+0tbqItc3Mq7Gx5aJn5cdck4HNM1BZ5dQmSVmdo3MfToFOKSPTriQfLC9El72mwRr0IRSe/kNima3kmhidhG5KjgEn0/yK7PS7oI4tZI2DbA4cvv3dj24+lc3b6RJ0kV0AI+bHT8a6nS9IYz+bLM8rYALMc4HpRFWOLE141NIqyNeNfMYDIC9zU80qxr5cRGe+DTpGit0EcIG7+VQxQiRtzDgfrVHIOgj48xh780ksjSvjsOlEsuflXp396lhQRw+YcFj/KgBjDyBjqahWMM2SOKczGSTP8AkU8/IoA60ARuB0HShY1Yc05Fy3PenPheBQBEUDHpUhQIOOtIg5zTicmgAUjOKcTmm44zQpyaAJVGKTqaceF96ZznA60APb0HSnxfez2FR1PB0zQAr/eqxGMRA496rHJbPcmrzYSD3xigCsn3ufWpnI8oYPeoV6+9OckIoOPwoAkhxkn2pspBlNNjdgT8hP402Rz5h+X9aANBBm1H+7VOE4mX3qeGb9wq7e3ciqO6QOu1Rwc8mgCS+GJAw70ls3ykU28aUrkrHx/dbNQQSyKchB+JoAWUYc1Ax+Ur3xUk7yl8+WAPZqhLE9VI7UAyzZyjcPRhilugA+R3qlbuULK2eDxxV6Z4pEyG5xnoaYkzKu7hI7d1k+4cAnnI5B496rpfXXmQobq6ks8kpFIysF465xk/nUt9Es0TJnqMVVEupTpFBctujiJKnPX8O1BcZJJ3VzZEiuox1pBjuBVeIMAKmyRQQIyR9QCB7VWub6CEJbpArTKGYysA2QeNoyOO9XQwZNpxWNrMf2R7WdUZmmBHTgbWH9DSN6ElGomzTsdRY2TK0KHzRskAA4OTyMdOPzrlfF2nR3V6YLW682GNA4DNnyycYBz7CrNrrFusitbyQAkqNvmAg56g/SsoR5mu53ff5uXYbhwQcDr/APrxW88RSlT5eptHBVqdWThK8X5lqfU2EDYUpHGACPwqTQozPrywyOGidWkI67sdB/8Aq9Kp6fbi5S4V1wRwc49eOn0FT2tnPbXCywTMk8efLzyORgisY6PmOefWKL95FuuhLLKbZVYkKOFYDtWZdW43pcvl45QQGQZGR2zVdRPI7edNkISMtzz34/rUTS4HlBCpXg45z71yYmNR6y2ewTpShBSa0ZVnXAdwQGwOBTobaeS0a6RQUi4OB096ifiQKTuU9/SrCXCCJljYiMgAjd19qxd1FJGBTnkWQncuHzgc5qCO38mZfMbfG4z8rVLNAscqyw5BzyM9hVOZZGIwByxIwK3hsMsO6IWG9vJbgKGzx/8ArqBrlgBGuSAMAY5NTx2RnhKKH+0bSdmOuP8A61XbbQpPO3wSq3lkZDHaV44Oe3/1qOaEdGBlWksn2kJtYs524A5rUkm82IbCF+nU+uahnhWMPdvcGS4LEArJ0OeTkde9VYnSORQ7FUxyMZzSajJ3XQdiK4dd6sN+AeRnimeY77gx2gmrcrRmBQHXarZAPFUjE7k4xkDOM1qgGSbkOUY4z1r60+DWP+FUaLjp+/8A/R8lfKCSZTZ5YAB5PcfSvrD4NkH4U6IRnH7/AK/9d5KtFI7qiiiqGFeAfFK6ktPHc771SEvGJC3p5S9K9/rwb4mPb/8ACY6lHcDg+Uyvn7pES0Wb2Gmr6nNtcBIBcKd6MAQV7g1SvZxdTRBOQoycfr/T86ZJOxt5IERCUiPyo+T0GMf4+oqo2qWqwlZPvNyyhSWGe3HtTtrqejl0Y+0527W7kkzqIJVWWMtIjR5DZIyMHp7GmXU9zb6BPPI+6RVSGNyc5wck/oKgiuI3ZVttOnfPRvL4/M1W1WaZgLSaIxK6PgZzk44+nIps769alaUuZOXSx0kECXI+0tGgeQlm2jvmrCQYPAFUPD1yZ9JjLdV4/QVrBh1qUeBUVpNCxwrwG6d+KuCaG3gWO3QhgMewqoXOMKMn+VJl8cBR9eaCCZCN3z5Pc1O9wDHtRdtUVVwRl8/QYqVUXqcn60xEiHnJGac0ueP0qLy1A6DFBRcj5QSKAHCeNDjIJ9uaDMzkkRsfrxSjAFOA4oAFeTHKqB7GjOTSbu1NkcRQyStnCKWOOvFICXOOKK57w9dQXl1e3Ecj+ZIQzI38I5rfzQOUXF2Y4sTSpwc5puT+NKKCSQtxSLnrnk03r1p4PFADxT1JHeoxTs0DJl5p3NMBxgVNHG0gyBxQAMV2KB1xzSIjSOFRSxPAAGSakmjOc4AGKNPvbyx1eya2t4nhnnS3eVmw8e48lfw/KmhMtJomqOflsZ/xXFD6HqcfLWMwHsua9DPh3T541NwbqUkZO+5c/wBab/wi2lrzELqJvWO5kX+tOxPMeaywywriWJ4yem9SKgB5rV8W6ld2WtLoNtbSX6GHzvMmmAaL5iM7j2wDxg1mpbSNyCAD0z1pMpO4y5cySF2XBNVfMVOWYKPc1evI22b3KgRpyevAri21axvbtrKW1t7iWSbCyzM22NOAMBSD6nPvQM6U3VuRjzo8/wC+KYzKwyrAj2NZyaK0Uoxa6GVXA5Eh9u9MutHbc5isbMDkhrO4MR59mOKLCujSRgJzk/eAqyPmWsBNSjjuFguG8mVSBiUgHP8AnmuihiDqT5iihgiCQAjGKg8pQ2QP1q/JAFH3wfeqxUZ5NAyMHBpTxmlKjOM8UrIu371AiBnCjmrKWkWt6QsfmmOSCRh8p5IPX8wT+IqtJGp6t1rAvp7nTLhp4J9sJH7wZxnkUjSna49fAEiXCJ5Zjj3cyLIrED1IzTr3wl/Z7LKl6sqRyRsfkPzdeAc1bl1mW3iiYkM0q7lSJyx7HtmsjWPELT2ctqz+Zll3gdk79gc9KV01Y09k1qmaAWMs0yFTu+9j24q6lrFPGpdthPQ1m6eFS3VVwUxxU41SJLeRJVybaTAAHUH/ADirtaNjDWUiHU9FWCOS4t5z5jEkqwHfristGtiginQLJu5kRcE8d63JdXgdAJLG9Uj1tzXO3bQz3DvAJFCjI3jB64x+ZrmxUZVIJX2KqVJ1ElJ7GbewQ2b7vOWVCrYIBBU9s5x/Wq0N5hHzGpkZtwkHYkenTHNF7GQDvIDHP51WjljgIV1BzxkHge9TD4TOw0ySAt84G5gpY9KaPM+0KASWwOnPWld4pVCxqdxOB2BNEcTeYgYhAwzuBrRJWKsWoZpTOJlOCjAcmtJb8tDMpdomZgCABtYDsfzrOlh8s7g275Rwpz+dLCoaPc6bmT5lQr8p/H8qxcVITGXRYTbWlBVhnAGPwpoa186FXXy0ON7jr3/+t+VOs7ZdRv0t5JTGZOAxHG7HTrXR6r4Zs5lLafcxLKFwYWcY3cDHtnBrWMbIDkDCTA8plQ/OBtHX649KImWQkSSHjofWnDYtsy5bfuwR2Ax+v/1qZ5EpUMqMMjrVjHyDcD8+0NgjjA49q+rPg0CPhPogPX9//wCj5K+VoLYTBA8p78HqK+rPhBH5Xwt0ZPTz+v8A13koi1ew0dxRRRVjCvnL4yXUlr4n1aaFBvRoAWZAR/q045r6Nr54+LVoL/xfq1u8jIjeScjtiNaL2A8t0LVppNR8qdi/mgjOenBOK7HwXoayx3jSSo2yQJiQ4xx19a5az0OC2WG7EkssiMCFC4HXmtGTVJ9IvzcxhQskRCo2SCR3wD1pSvujSmnO8U9T0Y2NnbqTNdJGqjjjH6muS8YpZDVLB4CX+Ut8w+8MjGP1/Suetr+5u9JW0laIpcT7TOxzIgyMj3BJFUFvbu7khWV3laP5FZmJwvTAqfeNaNFRnectjoNHZorfyxgRgnYB6ZrZjkJIArMs4SkajGWrThTbgd+9Wc83eTZZQ46fnTucU1QaeBkUyBFOTk1MCOtRYAqQUCHHmkAxzUF1dxWkJllLYBwAqkkn2AqW1njubZLmM5jddykjFAyYjHHems2Fo3ZGfWmE5pCFHWknUNE6E9VI4oBxSb+CxoGmcb4UmS01GWzkgIuCWG8nBx/dwfpXbZ44riL6VJPFNvewZEAnjjeUcAt35+ldiZN6blb5fUd6bVipy5ncsDliT0p1NXhAO55NL2pEjgacvrUQPOM8+lSqOOaAHd6eKYOlLnigRKvJzUquyqAGIGagU47VqanF5U8EW1QVt4920Ac7cn+dD0GjPllYj7x/OtDSVhZ9NlmkCRR3MtxIzdAEQYP5msmVuDW4li7+CftMEcjyEMhCrnhpVLH8kFUiZHoSeJNEcfLqlp+MoH86cviHRmQN/aloARnmZf8AGvGAqZwG+b071Gdqg7iAQOBVWRB1HiaSC48YG9trhJIJNNlG9DuBKlieR6bhXNRXLNzk/nWxZWZk8NzXsgZBClzGuV6hlQ5H4g/nXMwPhaTRUTTvZytrC+f4TmuGvMEpcouCZ3z/AOOkfzrq71ybCPHYmuRu5MzNCGw3nq232ZQD/wCg0kU9jdbUGJ6mgagQepqltAUZpNozjOK3MRCtvJqsk86KwZVzuHQdP5108Eo2+1cfOwguVZjlWRlOfUcj+VbFlcyHBzlMVjJamkTpVO+Fl7ryKrt1otZPmXPQ8USLhyD24qEWMPI4oU0lN4HHNMQrjNYmvlYtPMhjRiGGC/3VOeprZZuKx9ZVZLR43G9D1XOOM0Ac/pviG60aFhDFFJJIxLPJk8ZPA54H5VJFqf8AbOqNJd2yCZ1KmRMgnHrUZsbO0vG8+7uYoZFDRSRJu3r15p0MFtCWutOnnudpAcvHt25P/wBahrWxaXu83Q29OjNuWg6hOVJ/unpVJrWWTVIYDhfPnXDHOOTjmp7o/a7QSwthgMrtPUelW7aRLm60+Uq+5pkb5RkBgRnNRdha6uV9U16Kz1G8s3tplaORo35BwQT0yOhrnHBmuJZgCu9y2Pqa7fxVosetW76pCdt5ari4VVyZYhwHx6jofbBrz/7TNbTyIFLoGOG29qU9VYyrOpOCSJ7mL92XfG0ggZOMnFT6zoZ0oW0cxMrvErrgYCk9VrR0vF0IYHXaHdWTI65PIrR8aT7dTSFU3AjselRypRKimkrnESWksSyhLcsAclgPuj/IqtNG+0NuJ47dvauglv8AyQRJbs0bcHgjIxgj86wJJcyAAbR2z/KhNNFOwsDPs2eYVJxge1T+fJHFtU55496jctPO0shUNxkqOKSNgbhUJ/dngnHApNCJJU8yJ3Vl+TjGDluetMheFHPznkdQevtV0svlPjLnICkDrWWWQE/ugCTwR2ojJsCaRfOeSVAF2jcQD7gf1pircMVUBgC3BI4P0/OrUMUTaW3LedLKiBFXomSSc+ucV0thYfbpo5ntl8uHK4d/kyMAAYzlVA69zWiimgOekiaK13sUGQRu6kEdiByOvevpz4NMX+FGiMxyf3+f+/8AJXz1fX9uupPjaqJE0Y8lQVVvbOfz+lfRfwlk834ZaRJgDcZzgHP/AC3koiknoCZ2tFFFWUFeF/EW3EvjfUDsB/1WT6/ulr3SvE/HrAeNtQGRn93x/wBs1ppXZMnZHEPasTzgAVg6hZm5vhGg+WIZb6np+ldXdSrFAzN0AyfpVG1tTHbNJIMSzEs3tn/AU5iizlGtLiPZHEjECTcMDoTjn9BWnYaSyEO4561trAN2ccmp1j21JRHHCEGB1qeMeuM0AZ+lPAA6UAKMdO9KCegoxxTl4FMQnP1p2e1NJ96cCBgnn2oA0LaxgurJonbFxKDsI5KAd8e+amvre0i09I4VSN7bbHjpvGP6YrCXXo9ONxtKTXaqcKAQRxn6dB1zUUfiGy1O0tS0mb6XLsm3AQcjGe/amkrBfoXC3FN3ZOKiEgboakB+tSA4noBVTUYftVlJb7nQvjBQ4PUZH0IyKtqO9Nxkk4oEUhYxCFIREgjT7qlQcVejUBcHmm44qRBxQMlz3pe2KaOlOHXmgAUAHgdetSA8VGPvU/PFADgad3pi9af0oEWbSLzryCEf8tJFT8zip9U1eCXXLpDkEg7Px5FLooxqPnY/1ETyj6hTj9SKy9QhR1mkXhhIMP3wDn+QpSa2ZcFd2EkcEV2Hhzxlp+ly2+hXCmO5kjR7ctwsoYcgHsdwPX1riXb5DXUaHeaRqGm29pf2iTyQj5WZOUI44bsePWqROl3dHdyahZyczWKO3uFY/rUa3enKd6aYgb2RAay5jp90oEu449aSI6fbhtjMN3oP5VpaNr9TC7uZXinxjpl27aJAwa8KsJY158pQuTuI4BzgY9686hb5RzXS69JoGk2tzHp1vHHdy5Msmd0jZ4GT7k1zEGdhYkDAyazbNrLoWrnJ036PXHfK+tSea20IOM98KMfzrspQW06UDswNcFquXvSFdFOSDvOBwBxQmVFJu0nZHQglsYGadK28DEKofVc1zFmLRbyEXE8tvCTib5dxX3HHNat//Ysthm11uRZ4o2CJ5ZXec5G5v610QXMrmM7RlZaiaqpWyZ8/dIP64NbOnS5hH+zXATSbXQi4MxPU5PH512umENFtHfkVjJ3NXBRSs7nRwPletW5juCuP4hzWdCfl61fT57U+qHNQBFnrTGJ3A9qceDTG+7TEBOQaz7yMyRsMZ4rVhtLi7gne1heeSFQ3lJyzc44rKuNP19/EFraR2z28MsDy4bbuYDhhj8R+dOwilHcWVotil9G9woDPhRyASRtPtx+lX5b3SzafZvICQ7cxhQoK56EVhato7vceahdX+6RnFZv9i3JblnP/AAI1anHeS1RLjK1ovQ24JICCtuHyPvFhhSfb0FOgEsNzmOUpIG3qnZx3H1qxZWRNkPlAePg+49amlt/MhDIv72M5U1lJqUrmkbpWN+yupNsN/ACmSd0TDOD0Kn1BH6GsnW9CSxuTc2sQe1uMvHublD3Q8dv5Yq1pF2jjaTiGQYYd1P8A9atjclxFPYyttimHySHkRuB8r/T19qLCuzltDf8A4n1rEI4w+1i6EBsDH6EVW19odQ1WW2ikxIsgQhicA461Y8M2dxpmuXUF/HsuIlYOxPVs44PpzmrFzqej6bZXEr2Aea6YmS4Z8FuMALz29qTjpYd7s4e+tbmxkEdxbmNyN3XIx+FV4Vt7h0hlYIc4DkD5SccnpxSavf3t86iSGXyowRGTHzj1JxzVaKyE3WZCD/Fk1EaVthqMepoJpwn81V2sYMFtpyG+h7097AwCC5ONhkxJGOGTBxn6U2zt44wI5J1ZX4K4GMdc59R1rR1bSNLhtEa0vQ104B2Rn5WHf6U/Z2NIqn3MGW2mS4mWQMWLZwevr/KtJrOxi0yS7UN5jKDFlshT6Yp9ja3EFsJ03F+c7kyMemevas6dWQDcCu92bbnIxnjH60ctiGtSOR8qi7dqMeueCf8AJq1BLcR2a/6S8cRcrlJASFI5G306Hr3rR06yjv5rYzMqQQDKKwHztnOD7cVfvb3SEshDHaxSqHG9B8u3nrnvyaSsiXoctO0cHyx73UjPK4zX1D8Gzu+FOinGP9fx/wBt5K+XtR3TXbOsm4btu7+n4V9R/B1Snwq0VT1Hn/8Ao+SnFaglqdzRRRVlBXhHj5H/AOFg6q5Py/ucf9+kr3evCPiTOLbxlqTnBz5QC9yfKTAqo7ikctcN5tzHbg5A+dz7DoKsEs7bVBb0A5qKztZApeQbriY5IH8q0mZbJDFHgyt99x29hUt3YLQqY28Y5pDSk0gzjjrQIeBgAU5Rmoim5ged3YipVBUfe5pgOPBxQSAPakOc9ajO9jweKAFHJyaHf5cZpOR1qCVjikBW1jUobKJ7iF1EpXD27AFZGHAIwPQ965mwEsmpS3GAgkJfYOi5OcCprto5b6VnOWDkevGBj+tX7IwoBhXPuENFwNa3B2jIzVxc8YqrFNGFGAw/CpxcRAc7gT3INAE4PNKcdKh+0Jj5MsfYUgllbOISv+8aBE3FSDpxiqyicn70Y/DNP8uUnJmIHsooGTnNOHAqt5Umcids+4FPAmAA3ofqKAJ14p1QAzZ/gPtzSiVl+/Gw/wB3mgROppd3NQrcRngtg+/FODrj7woGbWl5i06+uOmdkQJ78lz+ifrWLpenavq+vSWoWP8As/yXbey8A4459cmtS7n/ALP8Ipcs7bWMkgXPHYDj3w1XvBN/L/wiNs5QCS6kd9x5JAYgZ/AUWuaxVoOfyOZeIxKYifmQ7SCckEetYt3p13JKWtLmaFicny3K/jxWndlrTxZqdm3KySeajeuRkj8M/pWpawAQtIw5PSmyZpJ6M4h73xLbOyJq15gHAzIW/nUbar4okO06tdc+jYrrrqxBYsnUnODWa1gzXUUgfaUzlD0IoRFjKtLbULmRXvbuafacgSOW5r0Kw8EQXlirXV28Uh6xiPp+vPUVzw2xRl/7ozkda2LfV7mPwre6vYss0zQvJtB6PnnI7HqfemknowTad0JqlnYwWTx2kpkYDLHII4JHb6V5vrdhvcyKoOeSCK7rT72TUtEhnu8i8eA+Yp9ATg/jyfxrHuIFdelJqwXfU8/8mSPgREf7rkU1lkPBWb/v5XZ/2dGx5WnLpSGVPk4JouBxkFh5koDIw57tXXWOY51XoCuKtPpipLlY/lHIOabIhjaMtjgnBFCdxM1Yjgdea0LQgOVzw4xWF9rkUqRESD3q7DdPhZBG3qOaGCLpBBZSOhqNsYpbiZmfesL4YZ5qo0s5z+7UfU0AyzaTyRanZLFO8LSXCR7l7gnkH2xXXX90bZTIspDKpG7qcdx7V5vdl3dFn+WLcCxR8EfQ9jTTqV1cXk/mai9zDFj7OGXlgT/ERxu+tWnZAot6o1bk/aZJJW6scmqMZZVdpgBtapre4kL7TGuH4OWrM1ZJ4Z9rZAI4IPBqGNG5ayICsikFGHPuKfcRmCQgfdPI+lchDdXFs37uRlHpnium0y+/tOxeKTH2iHn/AHlqWhldHNrdk/wzHj2b/wCvXQW063EJBP7yMdM/w/8A1v5VjSwrPbtERh15VsdPQ1HZXDrKjsuLiM856Z/+v0ppiZ0mpFptGmu0i33MEWGdT8zIvt3xn8q8jNuLnci4j53ENn5j/nvXrcdwLa0hltSFzJuCkZ2+qn/PSuK8U6PBY3cd3aD/AEG8y0W3kRt3T8O3tT3EiHTLK91eYWdhFK87LghRkD3J7D613ug+F7XSPCcuna/Hb3MErNKcRkGP8evYciqfhTxno+h6abSR4YWLEpxtYj0Y9znNWdS8Uz6tFJHYskSSArvZeSORkYNDdhNnmuvrBoepS22nzW1xbSoCkkYG4Kexx3qla3ds+IpDIXz+7KAZ56jn36e/1rrdG8JWkGpmW/hiktNhCRJk5J/vZPb61VuvBFql3Mymdo2ctGwcDaMnjGPpzmpcrK5cfedi74a15LGK/wBRSe4kJiMaWoBCbsYyRyB24/Guf+yRyTJI8BAXAYZ4Jx/+uta6tJI1lkY4VMSFMY56ZFZ6aHqOtWRazdIlV85eTbkgY49etDlFpNGs4RglZ3ZYTYo8tfk/3RiqS6QztsSVHbGVMnc1s6jp/wDZdyts1wkxKBsjrj3qsoUD5cAUpRUkZ2EtvDdvPao1z5qTchwrdDzX0L8L7M2Hw60u2L79hmw3qDM5/rXh1lfHcFc/OOh7OPQ+9e++AnWTwXp7qCAfM4Pb941EUhWszo6KKKoYVn3Wg6Pe3JubvSbG4nPWWW3R26Y6kZ6CtCigDPXQdGRtyaTYKfUWyD+lNPh3QyedG0//AMBU/wAK0qKAMz/hHND/AOgNp3/gKn+FH/CO6H/0BtO/8BU/wrTooAzP+Ed0Mf8AMG07/wABU/wpf+Ed0T/oD6f/AOAqf4VpUUAZv/CO6J/0B9P/APAVP8KP+Ed0P/oDaf8A+Aqf4VpUUAZv/CO6H/0BtP8A/AVP8Ka3hnQWGG0TTSPe0j/wrUooAyB4V8OqcjQNLB9RZx/4U8eGtBHTRNNH/bqn+FalFAGZ/wAI5of/AEBtO/8AAVP8KX/hHdEP/MG0/wD8BU/wrSooAzf+Ed0T/oD6f/4DJ/hR/wAI7on/AEB9P/8AAVP8K0qKAM3/AIR3RP8AoD6f/wCAyf4Uf8I9ov8A0B9P/wDAZP8ACtKigDN/4R7Rf+gPp/8A4DJ/hS/8I/ov/QIsP/AZP8K0aKAM7/hH9F/6BFh/4DJ/hR/YGjf9Aiw/8Bk/wrRooAzj4f0U9dIsD/27J/hSDw7oY6aNp4/7dU/wrSooAz5tB0e4gWCbSbGSFRgRvboVA9MEU6HRtLt4kig02zijQYREgVQo9AAOKvUUBfoZr+HdEkl819G09pP75tUJ/PFPGh6SBgaXZY9Ps6f4VfooAzzoWjnrpVif+3dP8KafD2ik5Oj6fn1+zJ/hWlRQBnDw/ooORpFgCP8Ap2T/AAog0DRrVZVt9IsIlm4kEdsi7/rgc/jWjRQBn/2Do2FH9k2GFXYB9mThfTp0pn/CN6F/0BdO/wDAVP8ACtOigDL/AOEa0H/oCab/AOAqf4Uo8OaGOmjacP8At1T/AArTooAzf+Ee0Q9dH0//AMBk/wAKYfDOgN10PTT9bSP/AArVooAyx4b0IDA0XTgB6Wqf4U7/AIR7RP8AoD6f/wCAyf4VpUUAZ39gaMQAdIsMDp/oyf4Un/CO6J/0BtP/APAVP8K0qKAMl/C/h+UYk0LTHHo1pGf6U1PCXhuPOzw9pK5xnFlGP6VsUUAZY8NaCpyuiaaD7Wqf4USeGtBmAEuiaa4HTdaIcfpWpRQBj/8ACJeG/wDoXtJ/8Ao/8KdF4X8PQvvi0LTI2xjKWkYOPyrWooAzP+Ec0POf7G07/wABU/wpP+Ea0Hdu/sTTdx7/AGSPP8q1KKAM3/hHtE/6A+n/APgMn+FEnh3RJYfJk0bT3i3btjWqFc+uMda0qKAMRvBnhZ23N4a0csO5sYif/QamTwzoEYATQ9NUDoFtIxj9K1aKAM4aBow6aRYD/t2T/ClOg6Oeuk2B/wC3ZP8ACtCigLGW/hvQpARJounMCMHdaof6UR+GtCiQJHommoo6KtqgA/StSigDMPhzQ2OTo2nH62qf4Uz/AIRbw9/0AdL/APAOP/CtaigDJHhbw8Omg6X/AOAcf+FaNvbwWkCwW0McMK52xxqFUc54A96looAKKKKAP//Z",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_dir = \"./data\"\n",
    "os.makedirs(data_dir, exist_ok=True)\n",
    "img_path = os.path.join(data_dir, \"visdrone_img.jpg\")\n",
    "if not os.path.isfile(img_path):\n",
    "    url = \"https://data.kitware.com/api/v1/item/623880f14acac99f429fe3ca/download\"\n",
    "    _ = urllib.request.urlretrieve(url, img_path)  # noqa: S310\n",
    "\n",
    "img_pil = Image.open(img_path)\n",
    "img_nd_bgr = np.asarray(img_pil)[\n",
    "    :,\n",
    "    :,\n",
    "    ::-1,\n",
    "]  # tip o' the hat to https://stackoverflow.com/questions/4661557/pil-rotate-image-colors-bgr-rgb\n",
    "plt.figure()\n",
    "plt.axis(\"off\")\n",
    "\n",
    "_ = plt.imshow(img_nd_bgr[:, :, ::-1])  # explicitly changing BGR to RGB for imshow"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efe2e2a3-a3a2-4101-9872-bae618effab0",
   "metadata": {},
   "source": [
    "## NRTK Sensor Transformation Perturbation: Examples and Guidance\n",
    "\n",
    "This notebook used the [PybsmPerturber](<project:../../_implementations/nrtk.impls.perturb_image.pybsm.pybsm_perturber.rst#module-nrtk.impls.perturb_image.pybsm.pybsm_perturber>) to perform a sensor transformation perturbation. The `PybsmPerturber` takes in a [PybsmSensor](<project:../../_implementations/nrtk.impls.perturb_image.pybsm.sensor.rst#module-nrtk.impls.perturb_image.pybsm.sensor>) and [PybsmScenario] object which contains all of the relevant sensor parameters needed to simulate an image captured using that sensor. It also takes in a [PybsmScenario](<project:../../_implementations/nrtk.impls.perturb_image.pybsm.scenario.rst#module-nrtk.impls.perturb_image.pybsm.scenario>)` object, but that will not be explored in this notebook.\n",
    "\n",
    "### Setup\n",
    "\n",
    "We begin the setup for these sensor transformation perturbations by creating [PybsmSensor](<project:../../_implementations/nrtk.impls.perturb_image.pybsm.sensor.rst#module-nrtk.impls.perturb_image.pybsm.sensor>) and [PybsmScenario](<project:../../_implementations/nrtk.impls.perturb_image.pybsm.scenario.rst#module-nrtk.impls.perturb_image.pybsm.scenario>) objects. The original objects are meant to represent the parameters of the sensor used to capture the original image and the conditions that were present in order to faithfully create an identity transformation. Since we do not know the exact parameters of the sensor that we are trying to model, we use the `estimate_capture_parameters` function to approximate reasonable values for the sensor parameters based on the estimated `gsd` and `altitude` of the image.\n",
    "\n",
    "We can estimate the gsd (meters/pixel) by taking the average height of people (~1.7 meters) and divide it by the average height of the person detections in the image. We then estimate the altitude of the drone used to capture the visdrone images, and use that value as input to the `estimate_capture_parameter` function.\n",
    "\n",
    "For additional information on how these parameters affect image formation, see this [pyBSM explanation](https://pybsm.readthedocs.io/en/latest/explanation.html).\n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f1a7b31a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pybsm.simulation.ref_image import RefImage\n",
    "\n",
    "gsd = 1.7 / 58  # average height of person in meters divided by average height of person detection in pixels\n",
    "\n",
    "ref_img = RefImage(img=img_nd_bgr, gsd=gsd)\n",
    "sensor, scenario = ref_img.estimate_capture_parameters(altitude=75)\n",
    "\n",
    "pybsm_sensor = PybsmSensor(\n",
    "    # required\n",
    "    name=\"ideal_sensor\",\n",
    "    D=sensor.D,  # Telescope diameter (m)\n",
    "    f=sensor.f,  # telescope focal length (m)\n",
    "    p_x=sensor.p_x,  # detector pitch (m)\n",
    "    opt_trans_wavelengths=sensor.opt_trans_wavelengths,  # Optical system transmission, red  band first (m)\n",
    "    # optional\n",
    "    optics_transmission=sensor.optics_transmission,  # guess at the full system optical transmission\n",
    "    # (excluding obscuration)\n",
    "    eta=sensor.eta,  # guess\n",
    "    w_x=sensor.p_x,  # detector width is assumed to be equal to the pitch\n",
    "    w_y=sensor.p_x,  # detector width is assumed to be equal to the pitch\n",
    "    int_time=sensor.int_time,  # integration time (s) - this is a maximum, the actual integration time will be,\n",
    "    # determined by the well fill percentage\n",
    "    dark_current=sensor.dark_current,  # dark current density of 1 nA/cm2 guess, guess mid\n",
    "    # range for a silicon camera\n",
    "    read_noise=sensor.read_noise,  # rms read noise (rms electrons)\n",
    "    max_n=sensor.max_n,  # maximum ADC level (electrons)\n",
    "    bit_depth=sensor.bit_depth,  # bit depth\n",
    "    max_well_fill=sensor.max_well_fill,  # maximum allowable well fill (see the paper for the logic behind this)\n",
    "    s_x=sensor.s_x,  # jitter (radians) - The Olson paper says its \"good\" so we'll guess 1/4 ifov rms\n",
    "    s_y=sensor.s_y,  # jitter (radians) - The Olson paper says its \"good\" so we'll guess 1/4 ifov rms\n",
    "    da_x=sensor.da_x,  # drift (radians/s) - again, we'll guess that it's really good\n",
    "    da_y=sensor.da_y,  # drift (radians/s) - again, we'll guess that it's really good\n",
    "    qe_wavelengths=sensor.qe_wavelengths,\n",
    "    qe=sensor.qe,\n",
    ")\n",
    "\n",
    "pybsm_scenario = PybsmScenario(\n",
    "    name=\"niceday\",\n",
    "    ihaze=scenario.ihaze,  # weather model\n",
    "    altitude=scenario.altitude,  # sensor altitude\n",
    "    ground_range=scenario.ground_range,  # range to target\n",
    "    aircraft_speed=scenario.aircraft_speed,\n",
    ")\n",
    "\n",
    "sensor_config = pybsm_sensor.get_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be4a28b9",
   "metadata": {},
   "source": [
    "### Resolution Transformation\n",
    "\n",
    " The first is a change in resolution of the image. We will change the resolution by modifying the pixel width parameters `p_x` and `p_y`. For the purpose of this example notebook we will keep the pixels as squares by ensuring `p_x` and `p_y` are the same.\n",
    "\n",
    "Changing the value of `p_x` and `p_y` will have the following affects:\n",
    "\n",
    "- `p_x != 0.0`: This would result in an infinitely small pixel. The value of 0 is out of bounds\n",
    "- `0.0 < p_x < min(height, width)`: allowable pixel heights and widths. As the pixel size gets larger, it will result in a lower resolution as each pixel is responsible for representing a greater area \n",
    "\n",
    "In reality the minimum pixel size is the one used to capture the original image as pybsm and nrtk only support image degradation, not image super resolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "656ceb70",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:The simulated image has oversampled the reference image!  This result should not be trusted!!\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x400 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(2, 4, figsize=(10, 4))\n",
    "for idx, f in enumerate((1e-06, 3e-05, 4e-05, 5e-05, 6e-05, 7e-05, 8e-05, 1e-04)):\n",
    "    (row, col) = (int(idx / 4), idx % 4)\n",
    "    pybsm_sensor.p_x = f\n",
    "    pybsm_sensor.p_y = f\n",
    "    bp = PybsmPerturber(pybsm_sensor, pybsm_scenario)\n",
    "    img = bp(img_nd_bgr, img_gsd=gsd)[0][:, :, ::-1]\n",
    "    ax[row, col].set_title(f\"pixel side length: {f}\")\n",
    "    ax[row, col].imshow(img)\n",
    "    _ = ax[row, col].axis(\"off\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96aa913c",
   "metadata": {},
   "source": [
    "### Noise Transformation\n",
    "\n",
    "The second tranformation that we will be exploring is a change in the noise in the image. The parameter that we will be modifying to accomplish this is the `bit_depth` parameter. This parameter represents the number of bits available to represent each pixels value.\n",
    "\n",
    "An example of where this use case might come into practice is if a model was trained on imagery captured from a model with a bit depth of 16 bits, but needs to be deployed on a low power sensor that only has 4 bits available. \n",
    "\n",
    "The minimum `bit_depth` is `1`. There is no official upper limit to the `bit_depth`, but it would be very rare to encounter a value higher that `16`\n",
    "\n",
    "It is important to note that we re-instantiate the `PybsmSensor` object to reset the changes to the focal length from the previous code section"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7444b975",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<Figure size 1000x400 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pybsm_sensor = PybsmSensor.from_config(sensor_config)\n",
    "_, ax = plt.subplots(2, 4, figsize=(10, 4))\n",
    "for idx, bd in enumerate((1, 2, 4, 8, 10, 12, 14, 16)):\n",
    "    (row, col) = (int(idx / 4), idx % 4)\n",
    "    pybsm_sensor.bit_depth = bd\n",
    "    bp = PybsmPerturber(pybsm_sensor, pybsm_scenario)\n",
    "    img = bp(img_nd_bgr, img_gsd=gsd)[0][:, :, ::-1]\n",
    "    ax[row, col].set_title(f\"bit depth: {bd}\")\n",
    "    ax[row, col].imshow(img)\n",
    "    _ = ax[row, col].axis(\"off\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30eb653b-6be9-4d58-8d69-db4b64c3d81c",
   "metadata": {},
   "source": [
    "## Baseline Detections\n",
    "\n",
    "In the next cell, we'll download a [YOLOv11](https://docs.ultralytics.com/models/yolo11/) model, compute object detections on the source image, and display the results. As discussed above, these detections will serve as the \"ground truth\" for our mAP evaluation later.\n",
    "\n",
    "*Note that here, we're using YOLO's built-in visualization tool, which automatically adjusts for BGR / RGB order.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "55600de0-089f-4dd6-ac4d-7896b8df5494",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ultralytics 8.3.170 🚀 Python-3.10.12 torch-2.7.1+cu126 CUDA:0 (Quadro T2000, 3718MiB)\n",
      "Setup complete ✅ (16 CPUs, 62.4 GB RAM, 180.1/913.8 GB disk)\n",
      "Downloading model...\n",
      "Computing baseline...\n",
      "\n",
      "0: 384x640 5 persons, 15 cars, 1 motorcycle, 2 trucks, 34.1ms\n",
      "Speed: 4.4ms preprocess, 34.1ms inference, 155.7ms postprocess per image at shape (1, 3, 384, 640)\n"
     ]
    }
   ],
   "source": [
    "# Import YOLO support\n",
    "import torch\n",
    "import ultralytics\n",
    "\n",
    "ultralytics.checks()\n",
    "print(\"Downloading model...\")\n",
    "model = ultralytics.YOLO(\"yolo11n.pt\")\n",
    "print(\"Computing baseline...\")\n",
    "baseline = model(img_nd_bgr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39050929-bf48-44b1-9247-5cac7f44cd8c",
   "metadata": {},
   "source": [
    "## MAITE Evaluation Workflow Preparation\n",
    "\n",
    "We'll use the [MAITE Evaluation workflow](https://jatic.pages.jatic.net/cdao/maite/generated/maite.tasks.evaluate.html) to evaluate the performance of the perturbed data against our baseline detections. We'll need to \"wrap\" our model, data, and perturbations into callable objects to pass to the `maite.tasks.evaluate` function:\n",
    "\n",
    "- We'll wrap the **model** to make predictions on input data when called.\n",
    "\n",
    "- The wrapped **dataset** will return our test image when called. Note that this will be the original, unperturbed image; we'll apply our perturbations via...\n",
    "\n",
    "- ...the **augmentation** object, which applies the perturbation to the image inside the evaluation.\n",
    "\n",
    "- Finally, the **metric** object will define our precise scoring methodology.\n",
    "\n",
    "The evaluation workflow in this notebook is slightly unusual. Typical ML workflows apply many different augmentations / perturbations to much larger datasets, and only call `evaluate` once to get a statistical view of performance. But since the goal of this notebook is to drill down into how perturbation affects performance, we've essentially flipped process, calling `evaluate` (and thus our wrapped objects) many times, once per loop on our single image perturbed to a known degree, and then observing how the metrics respond."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da908c7f-b499-4361-8e2b-cf7647b45de6",
   "metadata": {},
   "source": [
    "### Some Helper Classes\n",
    "\n",
    "The following cell adds two classes to allow us to use YOLO detections with the MAITE evaluation workflow:\n",
    "\n",
    "1. The `YOLODetectionTarget` helper class that stores the bounding boxes, label indices, and confidence scores for a single image's detections.\n",
    "\n",
    "2. The `MaiteYOLODetection` adapter class that conforms to the MAITE [Object Detection Dataset](https://jatic.pages.jatic.net/cdao/maite/generated/maite.protocols.object_detection.Dataset.html) protocol by providing the `__len__` and `__getitem__` methods. The returned item is a tuple of (image, `YOLODetectionTarget`, metadata-dictionary)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "346f4207",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dataclasses import dataclass\n",
    "\n",
    "from maite.protocols.object_detection import DatumMetadataType\n",
    "\n",
    "from nrtk.interop.maite.interop.object_detection.dataset import JATICObjectDetectionDataset\n",
    "\n",
    "##\n",
    "## Helper class for containing the boxes, label indices, and confidence scores.\n",
    "##\n",
    "\n",
    "\n",
    "@dataclass\n",
    "class DetectionDatumMetadata(DatumMetadataType):\n",
    "    \"\"\"Dataclass for detection datum-level metadata.\"\"\"\n",
    "\n",
    "    id: int | str\n",
    "    img_gsd: float\n",
    "\n",
    "\n",
    "@dataclass\n",
    "class YOLODetectionTarget:\n",
    "    \"\"\"A helper class to represent object detection results in the format expected by YOLO-based models.\n",
    "\n",
    "    Attributes:\n",
    "        boxes (torch.Tensor): A tensor containing the bounding boxes for detected objects in\n",
    "            [x_min, y_min, x_max, y_max] format.\n",
    "        labels (torch.Tensor): A tensor containing the class labels for the detected objects.\n",
    "            These may be floats for compatibility with specific datasets or tools.\n",
    "        scores (torch.Tensor): A tensor containing the confidence scores for the detected objects.\n",
    "    \"\"\"\n",
    "\n",
    "    boxes: torch.Tensor\n",
    "    labels: torch.Tensor\n",
    "    scores: torch.Tensor\n",
    "\n",
    "\n",
    "##\n",
    "## Prepare results for ingestion into maite dataset by puttin them into detection object\n",
    "## Images must be channel first (c, h, w) in maite dataset objects\n",
    "##\n",
    "imgs = [np.transpose(img_nd_bgr, (2, 0, 1))]\n",
    "dets = []\n",
    "metadata: list[DetectionDatumMetadata] = [{\"id\": 0, \"img_gsd\": gsd}]\n",
    "for _detection in baseline:\n",
    "    boxes = baseline[0].boxes.xyxy.cpu()\n",
    "    labels = baseline[0].boxes.cls.cpu()  # note, these are floats, not ints\n",
    "    scores = baseline[0].boxes.conf.cpu()\n",
    "\n",
    "    dets.append(YOLODetectionTarget(boxes, labels, scores))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45cd8fb3-2ea6-492c-ab84-f3432b9d3440",
   "metadata": {},
   "source": [
    "### (1) Wrapping the Detection Model\n",
    "\n",
    "The first object we'll wrap will be the detection model. The cell below defines a class adapting YOLO for the [MAITE Object Detection Model](https://jatic.pages.jatic.net/cdao/maite/generated/maite.protocols.object_detection.Model.html) protocol. The `__call__` method runs the model on images in the batch and is called by the MAITE evaluation workflow later in the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e1131aa7-3716-479f-838b-0464b74106e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import maite.protocols.object_detection as od\n",
    "import ultralytics.models\n",
    "from maite.protocols import ArrayLike, ModelMetadata\n",
    "\n",
    "\n",
    "class MaiteYOLODetector:\n",
    "    \"\"\"A wrapper class for a YOLO model to simplify its usage with input batches and object detection targets.\n",
    "\n",
    "    This class takes a YOLO model instance, processes input image batches, and converts predictions into\n",
    "    `YOLODetectionTarget` instances.\n",
    "\n",
    "    Attributes:\n",
    "        _model (ultralytics.models.yolo.model.YOLO): The YOLO model instance used for predictions.\n",
    "\n",
    "    Methods:\n",
    "        __call__(batch):\n",
    "            Processes a batch of images through the YOLO model and returns the predictions as\n",
    "            `YOLODetectionTarget` instances.\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, model: ultralytics.models.yolo.model.YOLO) -> None:\n",
    "        \"\"\"Initializes the MaiteYOLODetector with a YOLO model instance.\n",
    "\n",
    "        Args:\n",
    "            model (ultralytics.models.yolo.model.YOLO): The YOLO model to use for predictions.\n",
    "        \"\"\"\n",
    "        self._model = model\n",
    "        # Dummy model metadata type to pass type checking\n",
    "        self.metadata = ModelMetadata(id=\"0\")\n",
    "\n",
    "    def __call__(self, batch: Sequence[ArrayLike]) -> Sequence[YOLODetectionTarget]:\n",
    "        \"\"\"Processes a batch of images using the YOLO model and converts the predictions to `YOLODetectionTarget`s.\n",
    "\n",
    "        Args:\n",
    "            batch (Sequence[ArrayLike]): A batch of images in (c, h, w) format (channel-first).\n",
    "\n",
    "        Returns:\n",
    "            Sequence[YOLODetectionTarget]: A list of YOLODetectionTarget instances containing the predictions for each\n",
    "            image in the batch.\n",
    "        \"\"\"\n",
    "        # Convert images to channel-last format (h, w, c) for YOLO model\n",
    "        batch_transposed = [np.transpose(batch[i], (1, 2, 0)) for i in range(len(batch))]\n",
    "\n",
    "        yolo_predictions = self._model(batch_transposed, verbose=False)\n",
    "        return [\n",
    "            YOLODetectionTarget(\n",
    "                p.boxes.xyxy.cpu(),  # Bounding boxes in (x_min, y_min, x_max, y_max) format\n",
    "                p.boxes.cls.cpu(),  # Class indices for the detected objects\n",
    "                p.boxes.conf.cpu(),  # Confidence scores for the detections\n",
    "            )\n",
    "            for p in yolo_predictions\n",
    "        ]\n",
    "\n",
    "\n",
    "# create the wrapped model object\n",
    "yolo_model: od.Model = MaiteYOLODetector(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cef0788-137f-41c1-a9e4-80e7d08b47d1",
   "metadata": {},
   "source": [
    "### (2) Wrapping the Dataset\n",
    "\n",
    "MAITE pairs images and their reference detections (aka targets, ground truth) into **datasets**. Typical ML workflows have many images per dataset; when these do not all fit in memory simultaneously, a *dataloader* object is used which can page images and annotations in from disk. For this notebook, however, each invocation of `evaluate` will use the same single-image dataset (our reference image with its baseline detections.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1dcbb5d0-b899-4355-9922-9d52fb866b4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# our single image, its baseline detections, and an empty metadata dictionary\n",
    "# switch image to channel first\n",
    "single_image_dataset: od.Dataset = JATICObjectDetectionDataset(\n",
    "    imgs,\n",
    "    dets,\n",
    "    metadata,\n",
    "    dataset_id=\"vidsrone_ex\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7963f7fa-052c-476d-944e-5bbdae3181b5",
   "metadata": {},
   "source": [
    "### (3) Wrapping the Perturbations as Augmentations\n",
    "\n",
    "The `evaluate` function will perturb the image from the dataset using instances of the class defined below, one instance per perturbation value. Note that the object doesn't perform any augmentations until called by the `evaluate` workflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "aa7a398f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nrtk.interop.maite.interop.object_detection.augmentation import JATICDetectionAugmentation\n",
    "\n",
    "pybsm_sensor = PybsmSensor.from_config(sensor_config)\n",
    "bp = PybsmPerturber(pybsm_sensor, pybsm_scenario)\n",
    "identity_augmentation = JATICDetectionAugmentation(bp, augment_id=\"identity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81020be7-76ba-43e3-b231-7d2bd7c30387",
   "metadata": {},
   "source": [
    "### (4) Wrapping the Metrics\n",
    "\n",
    "We'll compare the detections in each perturbed image to the unperturbed detections using the Mean Average Precision (mAP) metric from the `torchmetrics` package. The following cell creates a mAP metrics object, wraps it in a MAITE [MAITE Object Detection Metric](https://jatic.pages.jatic.net/cdao/maite/generated/maite.protocols.object_detection.Metric.html) protocol-compatible class, and then creates an instance of this class, which will be called by `evaluate`.\n",
    "\n",
    "This code is copied directly from the [MAITE object detection tutorial](https://jatic.pages.jatic.net/cdao/maite/tutorials/torchvision_object_detection.html#metrics) (with the exception of setting `class_metrics=True`.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e33407c5-f1d7-4c7a-9a31-2d500f97edcc",
   "metadata": {},
   "outputs": [],
   "source": [
    "from maite.protocols import MetricMetadata\n",
    "from torchmetrics import Metric as TorchMetric\n",
    "from torchmetrics.detection.mean_ap import MeanAveragePrecision\n",
    "\n",
    "##\n",
    "## Create an instance of the MAP metric object\n",
    "##\n",
    "\n",
    "tm_metric = MeanAveragePrecision(\n",
    "    box_format=\"xyxy\",\n",
    "    iou_type=\"bbox\",\n",
    "    iou_thresholds=[0.5],\n",
    "    rec_thresholds=[0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0],\n",
    "    max_detection_thresholds=[1, 10, 100],\n",
    "    class_metrics=True,\n",
    "    extended_summary=False,\n",
    "    average=\"macro\",\n",
    ")\n",
    "\n",
    "##\n",
    "## This wrapper associates the MAP metric object with methods called by the evaluate\n",
    "## workflow to accumulate detection data and compute the metrics.\n",
    "##\n",
    "\n",
    "\n",
    "class WrappedTorchmetricsMetric:\n",
    "    \"\"\"A wrapper class for a Torchmetrics metric designed to simplify its usage for object detection tasks.\n",
    "\n",
    "    This class facilitates the conversion of object detection targets and predictions into the format\n",
    "    expected by Torchmetrics metrics, allowing for easier integration with existing pipelines.\n",
    "\n",
    "    Attributes:\n",
    "        _tm_metric (Callable): The Torchmetrics metric to be wrapped, which takes lists of dictionaries\n",
    "            containing torch.Tensor objects representing predictions and targets.\n",
    "\n",
    "    Methods:\n",
    "        to_tensor_dict(target):\n",
    "            Converts an `ObjectDetectionTarget` into a dictionary format compatible with the Torchmetrics\n",
    "            metric's `update` method.\n",
    "\n",
    "        update(preds, targets):\n",
    "            Updates the wrapped Torchmetrics metric with batches of predictions and targets in their native format.\n",
    "\n",
    "        compute():\n",
    "            Computes the final metric values using the wrapped Torchmetrics metric.\n",
    "\n",
    "        reset():\n",
    "            Resets the state of the wrapped Torchmetrics metric.\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(\n",
    "        self,\n",
    "        tm_metric: TorchMetric,\n",
    "    ) -> None:\n",
    "        \"\"\"Initializes the WrappedTorchmetricsMetric with the given Torchmetrics metric.\n",
    "\n",
    "        Args:\n",
    "            tm_metric (Callable): A Torchmetrics metric instance that expects predictions and targets as lists of\n",
    "                dictionaries containing torch.Tensor objects.\n",
    "        \"\"\"\n",
    "        self._tm_metric = tm_metric\n",
    "        # Dummy metric metadata type to pass type checking\n",
    "        self.metadata = MetricMetadata(id=\"0\")\n",
    "\n",
    "    @staticmethod\n",
    "    def to_tensor_dict(target: od.ObjectDetectionTarget) -> dict[str, torch.Tensor]:\n",
    "        \"\"\"Converts an ObjectDetectionTarget into a dictionary format compatible with the Torch's `update` method.\n",
    "\n",
    "        Args:\n",
    "            target (od.ObjectDetectionTarget): An object detection target instance containing boxes, labels, and scores.\n",
    "\n",
    "        Returns:\n",
    "            dict[str, torch.Tensor]: A dictionary with keys `boxes`, `scores`, and `labels`, each mapping to a tensor.\n",
    "        \"\"\"\n",
    "        return {\n",
    "            \"boxes\": torch.as_tensor(target.boxes),\n",
    "            \"scores\": torch.as_tensor(target.scores),\n",
    "            \"labels\": torch.as_tensor(target.labels).type(torch.int64),\n",
    "        }\n",
    "\n",
    "    def update(self, preds: Sequence[od.TargetType], targets: Sequence[od.TargetType]) -> None:\n",
    "        \"\"\"Updates the wrapped Torchmetrics metric with the given predictions and targets.\n",
    "\n",
    "        Args:\n",
    "            preds (Sequence[od.TargetType]): A batch of predictions in the format expected by the Torchmetrics metric.\n",
    "            targets (Sequence[od.TargetType]): A batch of targets in the format expected by the Torchmetrics metric.\n",
    "        \"\"\"\n",
    "        preds_tm = [self.to_tensor_dict(pred) for pred in preds]\n",
    "        targets_tm = [self.to_tensor_dict(tgt) for tgt in targets]\n",
    "        self._tm_metric.update(preds_tm, targets_tm)\n",
    "\n",
    "    def compute(self) -> dict[str, Any]:\n",
    "        \"\"\"Computes and returns the final metric values using the wrapped Torchmetrics metric.\n",
    "\n",
    "        Returns:\n",
    "            dict[str, Any]: A dictionary containing the computed metric values.\n",
    "        \"\"\"\n",
    "        return self._tm_metric.compute()\n",
    "\n",
    "    def reset(self) -> None:\n",
    "        \"\"\"Resets the state of the wrapped Torchmetrics metric, clearing any accumulated data.\"\"\"\n",
    "        self._tm_metric.reset()\n",
    "\n",
    "\n",
    "##\n",
    "## This is our instance variable that can compute the MAP metrics.\n",
    "##\n",
    "\n",
    "mAP_metric: od.Metric = WrappedTorchmetricsMetric(tm_metric)  # noqa: N816"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0102dfde-cb9b-46a7-8e4a-d12ccd948864",
   "metadata": {},
   "source": [
    "## Running the Evaluation\n",
    "\n",
    "We now have all the wrappings required to evaluate our range of perturbations:\n",
    "- The `yolo_model` object, wrapping the YOLO model\n",
    "- The `single_image_dataset` object, providing our source image and its baseline detections\n",
    "- The `augmentation` object, which when instantiated, applies a single perturbation value to its input\n",
    "- The `mAP_metrics` object, defining the metrics to compute at each perturbation value"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38a7fef1-a3cc-4e63-8a2b-6133274e4b1c",
   "metadata": {},
   "source": [
    "### Evaluation Sanity Check: Ground Truth Against Itself\n",
    "\n",
    "Here we quickly check the evaluation workflow by creating an *identity augmentation* (leaving the image unchanged) and scoring it.  The detections should also be unchanged from the baseline and thus give an mAP of 1.0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a0af9f36-c69b-400f-82ec-f1fd7e9d98ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:17<00:00, 17.28s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sanity check: overall mAP (should be 1.0): 1.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from maite.tasks import evaluate\n",
    "\n",
    "# call the model for each image in the dataset (in this case, just the source image),\n",
    "# scoring the resulting detections against those from the dataset\n",
    "sanity_check_results, _, _ = evaluate(\n",
    "    model=yolo_model,\n",
    "    dataset=single_image_dataset,\n",
    "    augmentation=identity_augmentation,\n",
    "    metric=mAP_metric,\n",
    ")\n",
    "\n",
    "print(\"Sanity check: overall mAP (should be 1.0):\", sanity_check_results[\"map\"].item())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a1a72bb-dbf1-431e-892e-132771cd7b92",
   "metadata": {},
   "source": [
    "### Preparing the Data\n",
    "\n",
    "Now we'll prepare the augmentation instances for the evaluation. In the cell below, you can set three parameters for sweeping the set of perturbation values:\n",
    "- **sweep_low**: the minimum perturbation value (must be >= 0)\n",
    "- **sweep_high**: the maximum perturbation value\n",
    "- **sweep_count**: how many perturbations to generation\n",
    "\n",
    "You can also optionally select perturbations to visualize:\n",
    "- **visualization_indices**: a list of perturbation indices *p*, 0 <= *p* < sweep_count. These instances will be rendered along with their corresponding detections.\n",
    "\n",
    "We set up perturbation values for both the resolution and noise perturbations ensuring that the changes for one do no affect the other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "48b5e334-d8eb-415c-b263-4c4bd3618b43",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generated 30 resolution perturbation augmentations\n",
      "Generated 16 noise perturbation augmentations\n"
     ]
    }
   ],
   "source": [
    "SWEEP_LOW_RES = 2e-05\n",
    "SWEEP_HIGH_RES = 2e-04\n",
    "SWEEP_LOW_NOISE = 1\n",
    "SWEEP_HIGH_NOISE = 16\n",
    "SWEEP_RES_COUNT = 30\n",
    "SWEEP_NOISE_COUNT = 16\n",
    "VISUALIZATION_INDICES = [3, 9, 15]\n",
    "\n",
    "##\n",
    "## end user-settable parameters\n",
    "##\n",
    "\n",
    "resolution_perturbation_values = np.linspace(SWEEP_LOW_RES, SWEEP_HIGH_RES, SWEEP_RES_COUNT, endpoint=True)\n",
    "pybsm_sensor = PybsmSensor.from_config(sensor_config)\n",
    "resolution_augmentations = []\n",
    "for p in resolution_perturbation_values:\n",
    "    pybsm_sensor.p_x = p\n",
    "    pybsm_sensor.p_y = p\n",
    "    bp = PybsmPerturber(pybsm_sensor, pybsm_scenario)\n",
    "    resolution_augmentations.append(JATICDetectionAugmentation(bp, augment_id=\"resolution\"))\n",
    "\n",
    "print(f\"Generated {len(resolution_augmentations)} resolution perturbation augmentations\")\n",
    "\n",
    "noise_perturbation_values = np.linspace(SWEEP_LOW_NOISE, SWEEP_HIGH_NOISE, SWEEP_NOISE_COUNT, endpoint=True)\n",
    "pybsm_sensor = PybsmSensor.from_config(sensor_config)\n",
    "noise_augmentations = []\n",
    "for p in noise_perturbation_values:\n",
    "    pybsm_sensor.bit_depth = int(p)\n",
    "    bp = PybsmPerturber(pybsm_sensor, pybsm_scenario)\n",
    "    noise_augmentations.append(JATICDetectionAugmentation(bp, augment_id=\"noise\"))\n",
    "\n",
    "print(f\"Generated {len(noise_augmentations)} noise perturbation augmentations\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "549d0d4d-eabd-4f54-a487-7cfbc99916c9",
   "metadata": {},
   "source": [
    "### Calling Evaluate on the Augmented Data\n",
    "\n",
    "We loop over all the resolution and noise augmentations separately, calling `evaluate` on each one and building up a list of resulting metrics for analysis.\n",
    "\n",
    "Any augmentation indices specified above will be rendered in this step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a4951dfc-c2cc-434a-8fd2-1786ba3acf96",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:17<00:00, 17.24s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.17s/it]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perturbation #3: p_x value 3.8621e-05\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:17<00:00, 17.51s/it]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perturbation #9: p_x value 7.5862e-05\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:16<00:00, 16.56s/it]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perturbation #15: p_x value 0.0001131\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "100%|██████████| 1/1 [00:17<00:00, 17.13s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.12s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.25s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.17s/it]\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 3000x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Resolution Augmentation Evaluation\n",
    "res_perturbed_metrics = list()\n",
    "_, ax = plt.subplots(len(VISUALIZATION_INDICES), figsize=(30, 12))\n",
    "for idx, a in enumerate(resolution_augmentations):\n",
    "    # reset the metric object for each dataset\n",
    "    mAP_metric.reset()\n",
    "    result, _, _ = evaluate(model=yolo_model, dataset=single_image_dataset, augmentation=a, metric=mAP_metric)\n",
    "    res_perturbed_metrics.append(result)\n",
    "\n",
    "    if idx in VISUALIZATION_INDICES:\n",
    "        # quickest way is to re-evaluate\n",
    "        print(f\"Perturbation #{idx}: p_x value {a.augment.sensor.p_x:0.5}\")\n",
    "        datum = single_image_dataset[0]\n",
    "        batch = ([datum[0]], [datum[1]], [datum[2]])\n",
    "        # Extract the image from the augmentation and switch it to channel last\n",
    "        aug = np.transpose(a(batch)[0][0], (1, 2, 0))\n",
    "        # Plot image\n",
    "        ax_idx = VISUALIZATION_INDICES.index(idx)\n",
    "        ax[ax_idx].imshow(model(aug)[0].plot())\n",
    "        ax[ax_idx].set_title(f\"p_x: {a.augment.sensor.p_x:0.5}\")\n",
    "        _ = ax[ax_idx].axis(\"off\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "96767bd8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:16<00:00, 16.96s/it]\n",
      "100%|██████████| 1/1 [00:16<00:00, 16.93s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.76s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.49s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perturbation #3: bit depth value 4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:17<00:00, 17.36s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.21s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.14s/it]\n",
      "100%|██████████| 1/1 [00:16<00:00, 16.85s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.36s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.19s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perturbation #9: bit depth value 10\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:16<00:00, 16.89s/it]\n",
      "100%|██████████| 1/1 [00:16<00:00, 16.69s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.34s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.43s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.48s/it]\n",
      "100%|██████████| 1/1 [00:17<00:00, 17.54s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Perturbation #15: bit depth value 16\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 3000x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Noise Augmentation Perturbation\n",
    "\n",
    "noise_perturbed_metrics = list()\n",
    "_, ax = plt.subplots(len(VISUALIZATION_INDICES), figsize=(30, 12))\n",
    "for idx, a in enumerate(noise_augmentations):\n",
    "    # reset the metric object for each dataset\n",
    "    mAP_metric.reset()\n",
    "    result, _, _ = evaluate(model=yolo_model, dataset=single_image_dataset, augmentation=a, metric=mAP_metric)\n",
    "    noise_perturbed_metrics.append(result)\n",
    "\n",
    "    if idx in VISUALIZATION_INDICES:\n",
    "        # quickest way is to re-evaluate\n",
    "        print(f\"Perturbation #{idx}: bit depth value {a.augment.sensor.bit_depth}\")\n",
    "        datum = single_image_dataset[0]\n",
    "        batch = ([datum[0]], [datum[1]], [datum[2]])\n",
    "        # Extract the image from the augmentation and switch it to channel last\n",
    "        aug = np.transpose(a(batch)[0][0], (1, 2, 0))\n",
    "        # Plot image\n",
    "        ax_idx = VISUALIZATION_INDICES.index(idx)\n",
    "        ax[ax_idx].imshow(model(aug)[0].plot())\n",
    "        ax[ax_idx].set_title(f\"bit depth: {a.augment.sensor.bit_depth}\")\n",
    "        _ = ax[ax_idx].axis(\"off\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0303b6a-f587-43c8-ae9f-0057a7884241",
   "metadata": {},
   "source": [
    "## Evaluation Analysis\n",
    "\n",
    "Now we can plot how the metrics (for example, mAP @ IoU=50) vary with perturbation level, keeping in mind this is the mAP scores compared against the detections in the unperturbed image.\n",
    "\n",
    "### Resolution-focused Sensor Transformation Analysis\n",
    "\n",
    "We will start by analysing the resolution focused sensor transformation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "09b6804b-c98c-46fb-af98-ab5598892ba7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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cXUq2Mav5UJJAdiWHXDYAyTg4FM1jxnY6To1pq6Wl9f2FzGsqz2casqI23azFmXGdw9+vFAB/wjWq/wDQ665/35s//jFH/CNar/0Ouuf9+bP/AOMVo6xrVvosMLSxzzz3EnlW9tbpukmfBOFBIHABJJIAA5NVLjxPFZaTFe3mmahbzTTi2hsmRGnlkPRV2sV6AnO7AAOcUAQ/8I1qv/Q665/35s//AIxR/wAI1qv/AEOuuf8Afmz/APjFOj8Y6cNL1G9vIrqxbTSBdW1xGPNQsAVAClg27IxtJyTjrVjR/EkGr3lxYvZXun30EaytbXqKrmNshXG1mBGQR1yCOQKAKv8AwjWq/wDQ665/35s//jFH/CNar/0Ouuf9+bP/AOMVY1jxNBpN/HYR2F/qN68JnMFlGrMkQON7bmUYzwBnJwcA4q7Z6xYX+ixaxBcKbCSHzxKeAExkk56Y7+lAGV/wjWq/9Drrn/fmz/8AjFH/AAjWq/8AQ665/wB+bP8A+MUuj+MrPV723tfsOoWZu4Wns3u4gi3UYxkphiRwQcMFODnFR6f4407Ub61hS1vora9keKyvpYlEFy6gkhCGLDIViNwAIHGaAM/xFpOvaV4Z1XULPxfrc11a2ks0MbQWjB3VCQCBBk5I7VpL4b1YqCfGmuZI/wCeNn/8Ypo8cacdRFv9lvvshu/sI1Hyl+zmfO3Zndu+98u7bt3cZqW/8XQ6ZdOt5pOqRWSTLC+oNCvkKWIUH72/bkgbtuPegBv/AAjWq/8AQ665/wB+bP8A+MUkXhSf+1NPvr3xJqt/9hmaaKGdLdU3mN48ny4lP3XbvS6v4ystIvbm2NlqF39jiWe9ltIg6WqHJBfLAngE4UMcDOKfqXi20sbmG2trO+1SeW3+1+XYRq5SHOA5LMowTnAGScHAOKAOgornrjxjp6WumS2MF1qcmpxGe1gs0Uu8YALOd7KFA3KDkjkgda09H1a11zS4dQsy/ky7htkXayMpKsrDsQwII9RQBeooooAKKKKACiiigAooooA8vvbPURoWteEV0u+e7vtVllhulgYweTLP5pkaX7oKgkEE7srwOa6DxNJc6jb2GoWum3zjRtZWWWAwkSTRqrxs8a/xj95uGOu3jmuwooA8z1DTtS1tfEOu2mm3ao9zp0trazxGKW4W1kEjnY2CN2WADYJ2j1pda02/8ZyeIbuxsLu2ifRRY24vYWgaebe0hG18EKMKuSAMsccCvS6KAPP7uO78a61FLBp1/p8FtpN5bySXtu0J86cIoRQw+YLsJLDI6YJpmlfbtWu/B9m2kX9k+iAyX0lxAY40ZbdoQiOeJMs+crkYHOK9DooA8/03Vz4j8WQXeqadrNpDaTMum2kul3CqHwVM8shTYCQSFGcKCSeTxn3FnqI8P6h4OGl3zXdzqzyx3QgY2/kSXPneaZfughSRtzuyOnevUKKAPNdWi1Cxs/Gegx6RfXVxrksj2M0MDNCwmhSM73HypsZTncRxjGa9Es4Da2UFuW3GKNU3euBjNTUUAFc943sLrUfCs8dlCZ7iGaC5WEEZl8qZJCoz3IQge+K6GigDhodRmufFV14mTR9WWxtdOSzWN7NknmkeUM22NsMVUAZPTk4ziodTe90XWPFajSL+9/tmKN7JrWAyIziERGN2HEfKg5bAw3Xiu/ooA89sLe78E6pby3NhfX8Emh2ll5ljbtOVmg3gqQvIDBwQxwODkiq2jabqHhFvDmoX+n3c8aaXNaXUdnC0720jypKo2oCSvDKSAcEDtXpdFAHmVlp2paV/Y3iG5027KDU9Quri0hiMk0EdyWKHYuSSPl3AZI3Hjirtra2smma1qOv6Fez2OqasLiKyNk80iosSIrvEoLDJjJxjIyMivQKKAOP8FW0lidblhsbux0R51fT7SeNldQEHmFYz8yKWyQvHfgZo8M/adJ8Lah4g1Gwu21HUJJNRntI4S04BGI4gvXcsaouPXNdhRQBxPg26Oq6vcatqVvqMWsTwbRFPp9xBDaQBgREryIoZskFj1JHAwtdtUU11b2zRLPPFEZpBHEJHC73IJCrnqcAnA9DUtABXHanNPoPjqbWZNOv7yyvNNjtg1lbtOySxySNtKryAwk4PTKnJFdjUUF1b3Pm/Z54pfKkMcnluG2OOqnHQjPSgDiNK0q+Pw9m8JT2lxBf3WlXDmUrmGJ5i+I9443KX6egzUVl9s8Q6t4aT+ytQsBpVvKbx7mAxqsjQ+UI0J4k5YnK5GFHPNeg1FNdW9s0KzzxRNO/lxB3CmR8E7Vz1OATgdgfSgDzfSbfUbjS/CHhp9Jvre50W5ia9nkgZYFSBGUFJD8r7ztwFzwTnGKYLPUf+EcXwX/Zd99rGriQ3fkN9n8gXf2jzfN+7nbxtzu3dq9LuLq3tIhLczxQxllQNI4UFmIVRk9ySAB3Jp000dvDJNNIkcUal3d2AVVAySSegFAHmmrWuow6R4t8MJpN9PdazdyvZ3EcDNAUnVQWeT7qbDuyGIPyjGc1Z8W6asdzqUWnDxH9u1G2WOWCxt8292wTYu+VkIj4wGIdTgd+K9DjkSaJJYnV43UMrqchgehB7inUAebav4O8QW3h1Fs7+yn+w6B/Z6W0tnJK+4RbZGjKyL8z4UZKnGBjqQbslpp6+GdAg8WaHNqlzFa4U22lyyrEcKNpUbijY2jJ7qTx0rvKKAOd8D21/aeFYIdQjnicSzGGK4ffLFAZGMSOcnLBCo6+1dFRRQAjDcpGSMjGRXmOlWmoy6N4U8LPpV9DdaPeQvd3EkDLAI4N2GWT7r7/lwFJPzHOMV6bJIkUbSSOqIgLMzHAAHUk0kM0VxBHPBIksMih0kRgyspGQQR1BFAHG6rdzyar4b8UJpepG0gS6guLf7KxuIhJt2uYhliMxY4ycMDWPHp2pQx2/iRtMuyg8RS6k1kIyZ1t3hMAbyxzu6Pt64J78V6bUVzdW9lbPcXU8UEEYy8srhVUe5PAoA83vNO1LU/7X8RW+m3YQ6rYXdvZyxGOeeK22b22Nggn5toOCdo45rc0qeW98V6v4lNhf29hHp0NrEs9q6TTlGkkcrERv43gDjJOcV2NFAHC+CdVxJ4gSTTNXhaW/uL6IT6dNCJIztA2l1ALHsuc1Dp8X2zx/ZanplnrflFJxfPqsUyxxKwyohE3KkuBxH8u0HPQV6BVS01TT7+4ubezv7W4mtWC3EcMyu0ROcBgDlTwevoaAOQtNWD/FK8m/s3WFt5dPgsknfTJ1jMqTTFvnKYC4dTuzg561pXtpcat4/sBJbyrpukW7XQkZCEluZMooBPB2IHJx0LiuoooAKKKKAOZ8ZW9yRoupW9rNdLpmpLczQwrudozHJGSq9WI8wNgc8HFUdDup11/V9ck0vUkttVura0tka2ZZAqRkGaRDgomSRk88Djmu0ooA8v1Gz1FdE8ReE10u+ku9T1KaS3uUgYweVNKHLtL91dgLAgnPyjAOat6qL/SpfGOnppF/eSa2fMsZIIC8bs9ukJR3HEe1kzlsDB4z0r0WigDgLZLvwXrVzLNp1/qMN1pdpDFJZW7TZmgDqUbA+XO5SGOB1yao6zZ3eh/B2w8PS2N9dai1pFGY7K0kuArqyMwJQEADkDPXHFem0UAef+LbSLxC/hrXJNM1G60q1uJheWZtZFmKOhUM0JAdlDquVxyDnBFQWWkRjw1evdWus2VhFq32rSI7aBnubRAqqGWPaxCljKdhU4VuR2Ho9FAHk6+G9Wu9M8TatHHqVzJd3FhNbx6gqx3FyLWQSMSgChN3KquF+6CRzXU6Q82teOJtcSxvbSxh00Wam8t2geWRpN7YRgDhQAM4wSxxnFdfRQBx2pzT6D46m1mTTr+8srzTY7YNZW7TsksckjbSq8gMJOD0ypyRVTStKvj8PZvCU9pcQX91pVw5lK5hieYviPeONyl+noM13lFAHn1l9s8Q6t4aT+ytQsBpVvKbx7mAxqsjQ+UI0J4k5YnK5GFHPNU9Jt9RuNL8IeGn0m+t7nRbmJr2eSBlgVIEZQUkPyvvO3AXPBOcYr02igDy8Weo/wDCOL4L/su++1jVxIbvyG+z+QLv7R5vm/dzt4253bu1aGuaudY8SHSdQ07WYdFspkZ/K0u4lF/KpDKNyIVESkAnnLEdgOfQKKAOA1N73RdY8VqNIv73+2Yo3smtYDIjOIREY3YcR8qDlsDDdeKZYW934J1S3lubC+v4JNDtLLzLG3acrNBvBUheQGDghjgcHJFehUUAeaaNpuoeEW8Oahf6fdzxppc1pdR2cLTvbSPKkqjagJK8MpIBwQO1dR4Jsrq00OaW8t3tpr6+ub37O/3olllZ1VvfaRkepNdHRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcl4ovdWHijw5pOm6n9gi1D7T57iJHYhEVht3AgHr7cnIOK62ua8ReFk8Q67ot1cBGs7IT+YoleOTc6qFKMuCCCp5BBoAwoPEWsI1lYz3qzTW/iX+y5rkRIDcReQ0gyMYVuVBK45U9M4pYvEOsP8QD4SOpRGOOY3ZvfLXe8WA32TG3b5g3Akjny8Hqc11Vv4X0a1tLK1hsgsVlc/a4B5jkibDAuzE5Ync2dxOc0i+F9GW2jgFnhY7s3yt5r7/PJJL787iTkg5PI46cUAcTp3iTxdq8seqWNlqUtu980f2byrUWogWUo3zl/O3hQTnGNwxtxXSeCfveJP+w5c/wAkq8fB+hnUm1BbSSOZphO6x3MqRPJnO9owwQtkZyRzWlY6baad9p+yReX9pna4m+YndI2Mnk8dBwOKAPOdb8Ya7p99e6fDdA3Gm6jJe3OYkJfTURJCvTj/AFoXd1+U85rSh8R6pctpV2l2Daah4lltIgI0INqkUygA4zy8W/PXnrjiuql8OaRNql3qclkjXl3a/Y55CzfPDz8uM479ev5U2Dw1pFrYaXZQ2YS20qQS2aCRv3TBWUHOctw7dc9c9aAPPNXvNY1nwxZ63casBa3Ou28Y07yUCxol6qqA2N5fKAnJI6jA61YisLpLb4kXDavdvCs90GtWjh2OTZxkEkJuyAQBhgMKM5OSevn8DeHLi9a7l04mVrhbrAnkCCYMG8wIG2hsjkgZPOc5NWp/C2kXF9eXj28olvYzFchLmVEmBTYdyBgpO3jdjIwOaAOZ8PXWsaXfeFrS71P7Za6pp7boDAiLbvHGjLsIG4jBIO4nseOlaXiq91VPEfhvStN1L7AmoSXCzyCJHYhI9w27gRu4+nqD0rdGi6eJtOmFv+805GjtTvb92rKFI688ADnNZXiPwuviHWtEuLgI1nZNM0q+Y6SZZAFKMvIIIznIIoA5i68V69Z2UmkrLNe3664dLW9t4YvMePyPP3BWKx+Zg7OcDgnB6Ut1rXjCz0GcSi5tZjqdlb2d3qENuZJEllVHDpExTgk8jacEdCM12A8J6GNE/sf7ApsvM83aXYv5mc795O/fnndnPvRF4T0aG1+zfZ5pI/tEVzma6llcyRsGQlmYscEA4zj2oA5c6RqQ+J9lG/iTUGkTR5HaUQ24MgE6ZQjy8AHIHGDwOeuXSeJtVTwVPfm8AvF182SuY04i+3iLZjGP9XxnGe/Xmuu1DQNO1S+tr25ilF1bAiKaG4khYAkEqSjDcpKj5TkcdKoXHgfw7dXsl3Np5aWS4W6YCeQJ5ysGEgQNtDZUZIGTyDkE0AYJn1rVJ/GLTau6afp00kENrHBH84+zIxDsVzjL5GCDnOSRgCr4XvNY0nTfA7TasL2z1aCO2a08lFEH+jmRGRgNxwI8NuJznIx0ru49GsIl1FUgwNRkMl187fvGKKhPXj5VUcY6Vn6V4M0DRLqG50+wMUkEZih3TyOsSnrsVmIUnHJABPfNAHJWfi7Ujr+jXENzqd3o+q3jWyyXdrbxQMCjsrQlSJeqfxAgjPI4qjYNqug+BPFeq2+uXcksOo3yxxywwFA4uiDJxGCWPOQTt5OAOMdvb+BfDlpeW91Dp5WW2mM9uDcSlYXOc7FLbVBycqAAeOOBUsvg7Q5jqAe1l8vUc/aohdSiNySGLbA21WJAJYAHrzyaAMDVtT127v8AxRLYawunQ6Ci+XAYEdZ28kTFpSwJCncFG0r0JzTItT1/xFr8sFlq76Va/wBi2l8saW8cjLLKZeCXU/L8oBHXgYI5z0mqeENC1q9N3f2PmTMgjk2zOizKDkLIqsBIBk8MDV+PS7OLUptRSELdTQpbyOGPMaFioxnAwXboO9AGf4b1K48ReCdN1GSQ21zfWKSM8IH7t2TllDAjg8gEEeua4XwxPcaP8O9JVNY1R7vUrl0t4rW1t3lJBkZlTcgXkAsWfOMds16ZpunWmkabbadYxeVaW0Yiij3FtqgYAySSfxrOl8JaJLpFrpbWbLa2knm24jnkR4m55WQMHB+Zu/fFAHH2fi7XZ9Eks3kaDUf7eXSBdXUMe+NGRZN7ojFC4DFQAcZxx1FWfF2kanHB4cgl8R30sh1yLbceRbq65RscCPaSCDjj+LnPFdLD4N8P2+l3mmR6an2O8lE88bOzb5AFG/JOQ3yKcgg5GevNKfCOjNpbac8FxJbmZZ8yXkzyLIMYZZC5dSMDGCKAMK4uNevNX1bT7TxA9mui2kJ817eJ2upXVmLy5XAX5QMIF53cjpVfTta13xPrWkx2+pNpdpdaBBqU0cMEbuJXfopdTgY9QeAMYJzXRX3gvQdS8k3lpLK0UAt95upQ0kQ6JIwbMg68Pu6n1rSj0mxh1IahFbqlyLcWoZSQBEDuCheg5PpQBdooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//2Q==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "map50_list = [m[\"map_50\"].item() for m in res_perturbed_metrics]\n",
    "print(len(resolution_perturbation_values))\n",
    "plt.title(\"mAP@50 on resolution perturbed dataset\")\n",
    "plt.xlabel(\"pixel width perturbation factor\")\n",
    "plt.ylabel(\"mAP @ 50% IoU\")\n",
    "plt.xticks(\n",
    "    [j for i, j in enumerate(resolution_perturbation_values) if not i % 6] + [resolution_perturbation_values[-1]],\n",
    ")\n",
    "_ = plt.plot(resolution_perturbation_values, map50_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a8720fd-32dc-493d-ab5c-81c313615504",
   "metadata": {},
   "source": [
    "### Evaluation Interpretation\n",
    "\n",
    "**General things to know about mAP calculation**:\n",
    "- The mAP metric calculation does not take into account the images that do not have any detection or any ground truth. In such cases, it returns the default initialization value, -1. It means it couldn't compute the metric. (Source: [link](https://github.com/Lightning-AI/torchmetrics/issues/1184#issuecomment-1589210748)). Hence, in this notebook example, we clip values to a range of `[0, 1]`.\n",
    "- When having images with no ground truth, the order of those images in the batch can change the mAP calculation. To be more precise, if empty images are at the end of the batch, they will be ignored in the computation. But the empty images that are placed before the last non-empty image are taken into account. (Source: [link](https://github.com/Lightning-AI/torchmetrics/issues/1774#issuecomment-1590681234)).\n",
    "\n",
    "\n",
    "The metric shown, mAP@50, is the average precision of detections across all classes when the bounding box IoU is at least 0.5 (for more details, [see here](https://lightning.ai/docs/torchmetrics/stable/detection/mean_average_precision.html).) In general, we observe a general decreasing trend in mAP as the pixel width perturbation factor increases (Note the mAP is guaranteed to be 1.0 when the perturbation is 0, i.e. when the image is unchanged, the two detection sets are identical.)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f0f9b97-ce54-4d21-be91-160f4a5d3054",
   "metadata": {},
   "source": [
    "#### Additional Plots\n",
    "\n",
    "For further insight, we can plot the mAP per class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "65d28ff5-838e-467a-a703-81432a408b35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Each instance of the metrics object has, potentially, a different set of observed classes.\n",
    "# Loop through them to accumulate a unified set of classes to ensure consistent plotting across\n",
    "# all thresholds.\n",
    "#\n",
    "\n",
    "unified_classes = set()\n",
    "for m in res_perturbed_metrics:\n",
    "    for class_idx in m[\"classes\"].tolist():\n",
    "        unified_classes.add(class_idx)\n",
    "\n",
    "#\n",
    "# dictionary of class_idx -> list of per-class mAP, or 0 if not present at that threshold\n",
    "#\n",
    "\n",
    "class_mAP = {class_idx: list() for class_idx in unified_classes}  # noqa: N816\n",
    "\n",
    "#\n",
    "# populate the lists across the perturbation values\n",
    "#\n",
    "\n",
    "for m in res_perturbed_metrics:\n",
    "    this_perturbation_classes = m[\"classes\"].tolist()\n",
    "    for class_idx in unified_classes:\n",
    "        if class_idx in this_perturbation_classes:\n",
    "            # the index of the class in this individual metric instance\n",
    "            this_class_idx = this_perturbation_classes.index(class_idx)\n",
    "            class_map_value = m[\"map_per_class\"][this_class_idx].item()\n",
    "            # Clip value to 0 if negative\n",
    "            if class_map_value < 0:\n",
    "                class_mAP[class_idx].append(0)\n",
    "            else:\n",
    "                class_mAP[class_idx].append(m[\"map_per_class\"][this_class_idx].item())\n",
    "        else:\n",
    "            class_mAP[class_idx].append(0)\n",
    "\n",
    "#\n",
    "# plot\n",
    "#\n",
    "\n",
    "plt.title(\"mAP per class for resolution perturbed dataset\")\n",
    "plt.xlabel(\"pixel width perturbation factor\")\n",
    "plt.ylabel(\"mAP @ 50% IoU\")\n",
    "plt.xticks(\n",
    "    [j for i, j in enumerate(resolution_perturbation_values) if not i % 6] + [resolution_perturbation_values[-1]],\n",
    ")\n",
    "for class_idx, class_mAP_list in class_mAP.items():  # noqa: N816\n",
    "    plt.plot(resolution_perturbation_values, class_mAP_list, label=baseline[0].names[class_idx])\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3aef482b-1a2b-4b2e-b522-7032776320d2",
   "metadata": {},
   "source": [
    "This plot shows several interesting results:\n",
    "\n",
    "- The only \"false alarm\" **class** (with a mAP value of 0) is the appearance of bus and traffic light detections that occur when the pixel width size has gotten much larger than the original value. There are no buses or traffic light detections in the \"ground truth\" unperturbed detections (but again, since our \"ground truth\" is based on the detections from the unperturbed image, this does not necessarily mean there are no true buses or traffic lights in the image.)\n",
    "\n",
    "- motorcycles are slightly more robust to small changes in the pixel size, but quickly fall off entirely\n",
    "\n",
    "- person and car detections are relatively robust with person detections maintaining an mAP of ~0.5 almost all the way through the perturbation range. This could be for a number of reasons:\n",
    "\n",
    "    - The non-car classes detected in the unperturbed image are all in the foreground, and are thus larger. Thus when the resolution decreases, they remain visible the longest.\n",
    "\n",
    "Any conclusions about classification accuracy should be considered in light of these caveats. In particular, the foreground positioning of the detected non-car objects suggests that instead of looking at per-class results, we drill down by bounding box area. Fortunately, the metrics class supports this:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "23ec21e7-e682-4d08-ad1d-6c42d850402f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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v4/71tIv5qamavFoiorwaGaE/meHtNf8AvWsR/wDHRWhWP4UfzPCmmN6W6j8uP6VsUQd4phTd4J+QUUUVRYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU10WRCjqGVhgqwyCKdRQBg3XhW0eXz7CWSwuOzwHj8v6AinaPo93bahcX+pXCXFy6iONl7L9MDB4HT39a3KKwWGpKSklb8vu2N3iKji4t3/P79wooorcwCqGr6VDq9i0EnyuPmjkHVG9av0VMoqcXGWzKjJwkpR3Rh6DqssryaZqHy6hb8HP8Ay0X+8P8APv8ASCz/ANO8a3tx8rR2cKwqfRj/AJcVa17SXvUjvLI+XqFv80TjjcP7p/8Ar/1NR+FrW4hsZ7m7iMdzdTtI4ZSpx7g9Ocn8a40qntI0papa37pbX87/AH7nW3T9nKrHRvS3Z9beVv8AI3aKKK7jiOc0fbaeKtZs+f3u2dfx5P6v+ldHXO32bTxpp0+4LHcwtC3uRk/zK10Vc+H0Uodm/wAdf1OjEauM+6X4afoFFFZGo+I7GwfyVZrm6J2iGEbjn0Pp9OvtWs6kaavN2RlCnKbtFXNeiua+z+INZ+eef+y7c8rHFkyH0yeD+o+lJHq2oaFItvrSGa2J2pexjP8A30P8njv1rH6ylrKLUe7/AF6r5m31ZvSMk5dl/Vn8jpqKjhniuYVmhkWSNhlWU5BqSulO5zbBXOeJf+Q94R/7Cr/+kdzXR1zniX/kPeEf+wq//pHc0AdHRRRQAUUUUAFFFFABRRRQAUVzNj4406+vraFLW+jtbuZ4LS/kiUQXEi5yqndu52tglQDjgmtHWtfg0X7LG1tc3d3duY7e1tVDSSEDcxG4hQABkkkDp60Aatc54l/5D3hH/sKv/wCkdzWlous2uu6f9rtVlTbI8MsMy7ZIpFOGRh2IP+I4rN8S/wDIe8I/9hV//SO5oA6OiiigAooooAKKKKACiiigAooooAKiuU821lj/ALyFfzFS0UAznvAz+Z4N04+iuv5Owroa5jwI6x+GEhLAGKaVME/7ZP8AWul8xP76/nWdF/u4+hjQf7qPoh1FN8xP76/nR5if31/OtDYdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoAdRTfMT++v50eYn99fzoA5/wAXDybayv1Tc1rcq/8AwHqf1C1uXV3BZW7T3EqxxL1Y/wCeap65bDUNFuraNlMjLlRuHJBBA/SsjT9CmvDDca7OJfKULFbbhtUAdWx1P+T6VxydSFZ8kb8yXonre/4HXH2c6S55Ws369NvxAzaj4oYpb77LSs4aU/fmHcD27enXr0rb07SLHS022sCq2MGQ8s31P9OlWw8SqFVkAAwACOKXzE/vr+da06Ki+eTvLv8A5dl/TMqldyXLHSPb/PuOpskaSxtHIiujDDKwyCPcUeYn99fzo8xP76/nW5jc56TQrzTLg3OhThFY/vLWUkofcf5z79q6Om+Yn99fzp1Z06Uad+Tbt0+XY0nVlUtzb/j8wrnPEv8AyHvCP/YVf/0jua6Ouc8S/wDIe8I/9hV//SO5rQzOjooooAKKKKACiiigApGG5SMkZGMilooA8w0q01GXRvCnhZ9KvobrR7yF7u4kgZYBHBuwyyfdff8ALgKSfmOcYra1W7nk1Xw34oTS9SNpAl1BcW/2VjcRCTbtcxDLEZixxk4YGu1ooA5nwXa3Mdrqt9c20tr/AGlqUt3FBMu10jIVF3DsSE3Y6jdzzWdqugWem+K/C13BNqDyS6pKGW41CeZBm0uDwjuVHTsBjpXb1zniX/kPeEf+wq//AKR3NAHR0UUUAFFFFABRRRQAUUUUAFFFFABRRRQBz8vgjw5PM8smmgu7FmIlkGSfYNTP+ED8Nf8AQMH/AH/k/wDiq6Ois/Y0/wCVfcZewpfyr7jnP+ED8Nf9Awf9/wCT/wCKo/4QPw1/0DB/3/k/+Kro6KPY0/5V9wewpfyr7kc5/wAIH4a/6Bg/7/yf/FUf8IH4a/6Bg/7/AMn/AMVXR0Uexp/yr7g9hS/lX3I5z/hA/DX/AEDB/wB/5P8A4qj/AIQPw1/0DB/3/k/+Kro6KPY0/wCVfcHsKX8q+5HOf8IH4a/6Bg/7/wAn/wAVR/wgfhr/AKBg/wC/8n/xVdHRR7Gn/KvuD2FL+VfcjnP+ED8Nf9Awf9/5P/iqP+ED8Nf9Awf9/wCT/wCKro6KPY0/5V9wewpfyr7kc5/wgfhr/oGD/v8Ayf8AxVH/AAgfhr/oGD/v/J/8VXR0Uexp/wAq+4PYUv5V9yOc/wCED8Nf9Awf9/5P/iqP+ED8Nf8AQMH/AH/k/wDiq6Oij2NP+VfcHsKX8q+5HOf8IH4a/wCgYP8Av/J/8VR/wgfhr/oGD/v/ACf/ABVdHRR7Gn/KvuD2FL+VfcjnP+ED8Nf9Awf9/wCT/wCKo/4QPw1/0DB/3/k/+Kro6KPY0/5V9wewpfyr7kc5/wAIH4a/6Bg/7/yf/FUf8IH4a/6Bg/7/AMn/AMVXR0Uexp/yr7g9hS/lX3I5z/hA/DX/AEDB/wB/5P8A4qj/AIQPw1/0DB/3/k/+Kro6KPY0/wCVfcHsKX8q+5HOf8IH4a/6Bg/7/wAn/wAVR/wgfhr/AKBg/wC/8n/xVdHRR7Gn/KvuD2FL+VfcjnP+ED8Nf9Awf9/5P/iqP+ED8Nf9Awf9/wCT/wCKro6KPY0/5V9wewpfyr7kc5/wgfhr/oGD/v8Ayf8AxVH/AAgfhr/oGD/v/J/8VXR0Uexp/wAq+4PYUv5V9yOc/wCED8Nf9Awf9/5P/iqP+ED8Nf8AQMH/AH/k/wDiq6Oij2NP+VfcHsKX8q+5HOf8IH4a/wCgYP8Av/J/8VR/wgfhr/oGD/v/ACf/ABVdHRR7Gn/KvuD2FL+VfcjnP+ED8Nf9Awf9/wCT/wCKo/4QPw1/0DB/3/k/+Kro6KPY0/5V9wewpfyr7kc5/wAIH4a/6Bg/7/yf/FUf8IH4a/6Bg/7/AMn/AMVXR0Uexp/yr7g9hS/lX3I5z/hA/DX/AEDB/wB/5P8A4qj/AIQPw1/0DB/3/k/+Kro6KPY0/wCVfcHsKX8q+5HOf8IH4a/6Bg/7/wAn/wAVR/wgfhr/AKBg/wC/8n/xVdHRR7Gn/KvuD2FL+VfcjnP+ED8Nf9Awf9/5P/iqP+ED8Nf9Awf9/wCT/wCKro6KPY0/5V9wewpfyr7kc5/wgfhr/oGD/v8Ayf8AxVH/AAgfhr/oGD/v/J/8VXR0Uexp/wAq+4PYUv5V9yOdXwL4bVgw00Ag5H76T/4quiooqowjH4VYqNOEPhVgrnPEv/Ie8I/9hV//AEjua6Ouc8S/8h7wj/2FX/8ASO5qizo6KKKACiiigAooooAKKKKACiiigArI13QhrYsWXULuwnsrj7RDNaiMsGMbxkYdWBG2Ru1UJ/HGnW+oSwNa3zWkF0tnNqKxL9nimJACMd27qwBIUqCcEitXWtZttCsBdXKyyb5FhihhXdJLIxwqKO5P4DqTxQBm/wDCNar/ANDrrn/fmz/+MUf8I1qv/Q665/35s/8A4xSx+M9N/srUb67hu7J9OcJdWs8Y85GbGwAKSG3bl24JBJpbTxhYSxaib63u9Ll06AXNxDfIqssJBIkGxmDL8rDg5yMECgDJn0rX4/FFhpyeL9bNpPZ3E8kv2e0yro8IUZ8jAyJH49vY1qf8I1qv/Q665/35s/8A4xT9K8XWmpXbWs9lfabP9n+1xrfxqnmwggF1IY9MjIOCMjIqPSfGljq97aW62d/bJfRtLYz3MQWO7VRklMMSPl+YBgpI5FAC/wDCNar/ANDrrn/fmz/+MUf8I1qv/Q665/35s/8A4xTrfxdC+o2tnd6Tqmni8kMVtPdwqqSuFLbeGLKSFJAYLnFRS+ONOi1GSA2t8bSK7FlJqIiX7Ok5IXYTu3feIUnbtB4zQA//AIRrVf8Aoddc/wC/Nn/8Yo/4RrVf+h11z/vzZ/8Axim6n430/S727hktL+aCxKC+vIIg0NqWAI3ksCcAgnaGwCCcV0oIIyDkGgDnP+Ea1X/oddc/782f/wAYo/4RrVf+h11z/vzZ/wDxiujqnq2qWui6XcajeuUt4F3MVUsTzgAAdSSQAO5NAGR/wjWq/wDQ665/35s//jFH/CNar/0Ouuf9+bP/AOMVa0fxJBq95cWL2V7p99BGsrW16iq5jbIVxtZgRkEdcgjkCqur+MrLSL25tjZahd/Y4lnvZbSIOlqhyQXywJ4BOFDHAzigA/4RrVf+h11z/vzZ/wDxij/hGtV/6HXXP+/Nn/8AGKfqXi20sbmG2trO+1SeW3+1+XYRq5SHOA5LMowTnAGScHAOKS48Y6elrpktjBdanJqcRntYLNFLvGACzneyhQNyg5I5IHWgDJ0DStf1LTpZ7vxfrcUi3lzAFW3tFykc7oh5g7qqnPfPFan/AAjWq/8AQ665/wB+bP8A+MUr+NNNOj2F/bQ3d09/K0FvZwxjz3kXdvQqxAUrsbcSQBjrUcnjewTQxqSWV/I/21dPayVEWdLhmChGDMFHJHO7GCDmgB//AAjWq/8AQ665/wB+bP8A+MUf8I1qv/Q665/35s//AIxV2PWLuTSZr1vD+pxzRvtWyZrfzpBx8ykSlMcnqwPynjpmhYeMVvbrVLV9D1e2udOhSWaKRInZt+dqr5cjZYgE447etADv+Ea1X/oddc/782f/AMYo/wCEa1X/AKHXXP8AvzZ//GKsaV4li1LUpNNm0++06+WHz1gvEQF487dylGZTgkAjORkcVt0Ac5/wjWq/9Drrn/fmz/8AjFH/AAjWq/8AQ665/wB+bP8A+MV0dYmseJoNJv47COwv9RvXhM5gso1ZkiBxvbcyjGeAM5ODgHFAFf8A4RrVf+h11z/vzZ//ABij/hGtV/6HXXP+/Nn/APGK1bPWLC/0WLWILhTYSQ+eJTwAmMknPTHf0rL0fxlZ6ve29r9h1CzN3C09m93EEW6jGMlMMSOCDhgpwc4oAT/hGtV/6HXXP+/Nn/8AGKy9f0rX9N06Ke08X63LI15bQFWt7RsJJOiOeIOysxz2xzWjp/jjTtRvrWFLW+itr2R4rK+liUQXLqCSEIYsMhWI3AAgcZoHjjTjqIt/st99kN39hGo+Uv2cz527M7t33vl3bdu7jNAD/wDhGtV/6HXXP+/Nn/8AGKP+Ea1X/oddc/782f8A8Ypl/wCONO0++uYXtb6S1s5UhvL+KJTBbO2CAx3buAyklQQM84p+p+MbTTb28thYajeLYor3s1rErJbAjcN2WBJ2/NhQxxjigA/4RrVf+h11z/vzZ/8Axij/AIRrVf8Aoddc/wC/Nn/8Yq3rfibTtC0H+2J2knt2UNEluA7zZG75BkA/KC3XAAJPAqtf+LYbQaQsGl6hfTarE0sENsIgwVVVju3uoHDDoTQA3/hGtV/6HXXP+/Nn/wDGKP8AhGtV/wCh11z/AL82f/xityzuJLq0jnltZrV3GTBOVLp7HazL+RNT0Ac5/wAI1qv/AEOuuf8Afmz/APjFH/CNar/0Ouuf9+bP/wCMV0dczY+ONOvr62hS1vo7W7meC0v5IlEFxIucqp3budrYJUA44JoAf/wjWq/9Drrn/fmz/wDjFH/CNar/ANDrrn/fmz/+MVe1rX4NF+yxtbXN3d3bmO3tbVQ0khA3MRuIUAAZJJA6etUT4003+w49SWG7Z5Ln7EtkIv8ASDcAkGLaTgMME9cYGc45oAP+Ea1X/oddc/782f8A8YrLn0rX4/FFhpyeL9bNpPZ3E8kv2e0yro8IUZ8jAyJH49vY1qp4000aPe6hcQ3ds9jMtvcWcsQ89ZW27ECqSGLb124JB3dal0/xRBfpqCHT9Qt72wQSTWM0a+cVYEqVCsVbdtIGD1BBxQBD/wAI1qv/AEOuuf8Afmz/APjFH/CNar/0Ouuf9+bP/wCMVb0LxFDr1hdXUNleWzWs728kFwiiQOoBIwrEdx3qGx8Ux3OrQ6bd6VqWm3Fwjvb/AGxI9swXG4Ao7YIBBw2DQBF/wjWq/wDQ665/35s//jFH/CNar/0Ouuf9+bP/AOMVPpfiaHU9cvNI/s+/tLi1iWcm6jVVkRmZQy4YnGUbqBVTU/GL6Tdxw3XhvWBFNdraQ3Cm2KSOzbVIHnbsHryuQOoFAEn/AAjWq/8AQ665/wB+bP8A+MUf8I1qv/Q665/35s//AIxXR0UAc5/wjWq/9Drrn/fmz/8AjFH/AAjWq/8AQ665/wB+bP8A+MVpa1rVtoVklzcJNK0kqwwwQLukmkY8KoyBnr1IAAJJpmi69b62lyqQXFrc2kvlXFrdKFkiYgMM4JBBBBBBINAFD/hGtV/6HXXP+/Nn/wDGKP8AhGtV/wCh11z/AL82f/ximXXjjTrW/nga1vntLe4W1uNQSJTbwytgBWO7d1ZQSFIBPJFO1bxrYaTe3du9nf3MdiiyX1xbRBo7RWGQXywJ+X5iFDEDk0AL/wAI1qv/AEOuuf8Afmz/APjFZegaVr+padLPd+L9bikW8uYAq29ouUjndEPMHdVU5754rX1bxdaaZefZYbK/1GZbcXUq2Mav5UJJAdiWHXDYAyTg4FM1jxnY6To1pq6Wl9f2FzGsqz2casqI23azFmXGdw9+vFAB/wAI1qv/AEOuuf8Afmz/APjFH/CNar/0Ouuf9+bP/wCMVo6xrVvosMLSxzzz3EnlW9tbpukmfBOFBIHABJJIAA5NVLjxPFZaTFe3mmahbzTTi2hsmRGnlkPRV2sV6AnO7AAOcUAQ/wDCNar/ANDrrn/fmz/+MUf8I1qv/Q665/35s/8A4xTo/GOnDS9RvbyK6sW00gXVtcRjzULAFQApYNuyMbSck461Y0fxJBq95cWL2V7p99BGsrW16iq5jbIVxtZgRkEdcgjkCgCr/wAI1qv/AEOuuf8Afmz/APjFH/CNar/0Ouuf9+bP/wCMVY1jxNBpN/HYR2F/qN68JnMFlGrMkQON7bmUYzwBnJwcA4q7Z6xYX+ixaxBcKbCSHzxKeAExkk56Y7+lAGV/wjWq/wDQ665/35s//jFH/CNar/0Ouuf9+bP/AOMUuj+MrPV723tfsOoWZu4Wns3u4gi3UYxkphiRwQcMFODnFR6f4407Ub61hS1vora9keKyvpYlEFy6gkhCGLDIViNwAIHGaAM/xFpOvaV4Z1XULPxfrc11a2ks0MbQWjB3VCQCBBk5I7VpL4b1YqCfGmuZI/542f8A8Ypo8cacdRFv9lvvshu/sI1Hyl+zmfO3Zndu+98u7bt3cZqW/wDF0OmXTreaTqkVkkywvqDQr5CliFB+9v25IG7bj3oAb/wjWq/9Drrn/fmz/wDjFJF4Un/tTT7698Sarf8A2GZpooZ0t1TeY3jyfLiU/ddu9Lq/jKy0i9ubY2WoXf2OJZ72W0iDpaockF8sCeAThQxwM4p+peLbSxuYba2s77VJ5bf7X5dhGrlIc4DksyjBOcAZJwcA4oA6CiueuPGOnpa6ZLYwXWpyanEZ7WCzRS7xgAs53soUDcoOSOSB1rT0fVrXXNLh1CzL+TLuG2RdrIykqysOxDAgj1FAF6iiigAooooAKKKKACiiigDy+9s9RGha14RXS757u+1WWWG6WBjB5Ms/mmRpfugqCQQTuyvA5roPE0lzqNvYaha6bfONG1lZZYDCRJNGqvGzxr/GP3m4Y67eOa7CigDzPUNO1LW18Q67aabdqj3OnS2trPEYpbhbWQSOdjYI3ZYANgnaPWl1rTb/AMZyeIbuxsLu2ifRRY24vYWgaebe0hG18EKMKuSAMsccCvS6KAPP7uO78a61FLBp1/p8FtpN5bySXtu0J86cIoRQw+YLsJLDI6YJpmlfbtWu/B9m2kX9k+iAyX0lxAY40ZbdoQiOeJMs+crkYHOK9DooA8/03Vz4j8WQXeqadrNpDaTMum2kul3CqHwVM8shTYCQSFGcKCSeTxn3FnqI8P6h4OGl3zXdzqzyx3QgY2/kSXPneaZfughSRtzuyOnevUKKAPNdWi1Cxs/Gegx6RfXVxrksj2M0MDNCwmhSM73HypsZTncRxjGa9Es4Da2UFuW3GKNU3euBjNTUUAFc943sLrUfCs8dlCZ7iGaC5WEEZl8qZJCoz3IQge+K6GigDhodRmufFV14mTR9WWxtdOSzWN7NknmkeUM22NsMVUAZPTk4ziodTe90XWPFajSL+9/tmKN7JrWAyIziERGN2HEfKg5bAw3Xiu/ooA89sLe78E6pby3NhfX8Emh2ll5ljbtOVmg3gqQvIDBwQxwODkiq2jabqHhFvDmoX+n3c8aaXNaXUdnC0720jypKo2oCSvDKSAcEDtXpdFAHmVlp2paV/Y3iG5027KDU9Quri0hiMk0EdyWKHYuSSPl3AZI3Hjirtra2smma1qOv6Fez2OqasLiKyNk80iosSIrvEoLDJjJxjIyMivQKKAOP8FW0lidblhsbux0R51fT7SeNldQEHmFYz8yKWyQvHfgZo8M/adJ8Lah4g1Gwu21HUJJNRntI4S04BGI4gvXcsaouPXNdhRQBxPg26Oq6vcatqVvqMWsTwbRFPp9xBDaQBgREryIoZskFj1JHAwtdtUU11b2zRLPPFEZpBHEJHC73IJCrnqcAnA9DUtABXHanNPoPjqbWZNOv7yyvNNjtg1lbtOySxySNtKryAwk4PTKnJFdjUUF1b3Pm/Z54pfKkMcnluG2OOqnHQjPSgDiNK0q+Pw9m8JT2lxBf3WlXDmUrmGJ5i+I9443KX6egzUVl9s8Q6t4aT+ytQsBpVvKbx7mAxqsjQ+UI0J4k5YnK5GFHPNeg1FNdW9s0KzzxRNO/lxB3CmR8E7Vz1OATgdgfSgDzfSbfUbjS/CHhp9Jvre50W5ia9nkgZYFSBGUFJD8r7ztwFzwTnGKYLPUf+EcXwX/Zd99rGriQ3fkN9n8gXf2jzfN+7nbxtzu3dq9LuLq3tIhLczxQxllQNI4UFmIVRk9ySAB3Jp000dvDJNNIkcUal3d2AVVAySSegFAHmmrWuow6R4t8MJpN9PdazdyvZ3EcDNAUnVQWeT7qbDuyGIPyjGc1Z8W6asdzqUWnDxH9u1G2WOWCxt8292wTYu+VkIj4wGIdTgd+K9DjkSaJJYnV43UMrqchgehB7inUAebav4O8QW3h1Fs7+yn+w6B/Z6W0tnJK+4RbZGjKyL8z4UZKnGBjqQbslpp6+GdAg8WaHNqlzFa4U22lyyrEcKNpUbijY2jJ7qTx0rvKKAOd8D21/aeFYIdQjnicSzGGK4ffLFAZGMSOcnLBCo6+1dFRRQAjDcpGSMjGRXmOlWmoy6N4U8LPpV9DdaPeQvd3EkDLAI4N2GWT7r7/AJcBST8xzjFemySJFG0kjqiICzMxwAB1JNJDNFcQRzwSJLDIodJEYMrKRkEEdQRQBxuq3c8mq+G/FCaXqRtIEuoLi3+ysbiISbdrmIZYjMWOMnDA1jx6dqUMdv4kbTLsoPEUupNZCMmdbd4TAG8sc7uj7euCe/Fem1Fc3VvZWz3F1PFBBGMvLK4VVHuTwKAPN7zTtS1P+1/EVvpt2EOq2F3b2csRjnnittm9tjYIJ+baDgnaOOa3NKnlvfFer+JTYX9vYR6dDaxLPauk05RpJHKxEb+N4A4yTnFdjRQBwvgnVcSeIEk0zV4Wlv7i+iE+nTQiSM7QNpdQCx7LnNQ6fF9s8f2Wp6ZZ635RScXz6rFMscSsMqIRNypLgcR/LtBz0FegVUtNU0+/uLm3s7+1uJrVgtxHDMrtETnAYA5U8Hr6GgDkLTVg/wAUryb+zdYW3l0+CySd9MnWMypNMW+cpgLh1O7ODnrWle2lxq3j+wElvKum6RbtdCRkISW5kyigE8HYgcnHQuK6iigAooooA5nxlb3JGi6lb2s10umaktzNDCu52jMckZKr1YjzA2BzwcVR0O6nXX9X1yTS9SS21W6trS2RrZlkCpGQZpEOCiZJGTzwOOa7SigDy/UbPUV0TxF4TXS76S71PUppLe5SBjB5U0ocu0v3V2AsCCc/KMA5q3qov9Kl8Y6emkX95JrZ8yxkggLxuz26QlHccR7WTOWwMHjPSvRaKAOAtku/BetXMs2nX+ow3Wl2kMUllbtNmaAOpRsD5c7lIY4HXJqjrNnd6H8HbDw9LY311qLWkUZjsrSS4CurIzAlAQAOQM9ccV6bRQB5/wCLbSLxC/hrXJNM1G60q1uJheWZtZFmKOhUM0JAdlDquVxyDnBFQWWkRjw1evdWus2VhFq32rSI7aBnubRAqqGWPaxCljKdhU4VuR2Ho9FAHk6+G9Wu9M8TatHHqVzJd3FhNbx6gqx3FyLWQSMSgChN3KquF+6CRzXU6Q82teOJtcSxvbSxh00Wam8t2geWRpN7YRgDhQAM4wSxxnFdfRQBx2pzT6D46m1mTTr+8srzTY7YNZW7TsksckjbSq8gMJOD0ypyRVTStKvj8PZvCU9pcQX91pVw5lK5hieYviPeONyl+noM13lFAHn1l9s8Q6t4aT+ytQsBpVvKbx7mAxqsjQ+UI0J4k5YnK5GFHPNU9Jt9RuNL8IeGn0m+t7nRbmJr2eSBlgVIEZQUkPyvvO3AXPBOcYr02igDy8Weo/8ACOL4L/su++1jVxIbvyG+z+QLv7R5vm/dzt4253bu1aGuaudY8SHSdQ07WYdFspkZ/K0u4lF/KpDKNyIVESkAnnLEdgOfQKKAOA1N73RdY8VqNIv73+2Yo3smtYDIjOIREY3YcR8qDlsDDdeKZYW934J1S3lubC+v4JNDtLLzLG3acrNBvBUheQGDghjgcHJFehUUAeaaNpuoeEW8Oahf6fdzxppc1pdR2cLTvbSPKkqjagJK8MpIBwQO1dR4Jsrq00OaW8t3tpr6+ub37O/3olllZ1VvfaRkepNdHRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcl4ovdWHijw5pOm6n9gi1D7T57iJHYhEVht3AgHr7cnIOK62ua8ReFk8Q67ot1cBGs7IT+YoleOTc6qFKMuCCCp5BBoAwoPEWsI1lYz3qzTW/iX+y5rkRIDcReQ0gyMYVuVBK45U9M4pYvEOsP8QD4SOpRGOOY3ZvfLXe8WA32TG3b5g3Akjny8Hqc11Vv4X0a1tLK1hsgsVlc/a4B5jkibDAuzE5Ync2dxOc0i+F9GW2jgFnhY7s3yt5r7/PJJL787iTkg5PI46cUAcTp3iTxdq8seqWNlqUtu980f2byrUWogWUo3zl/O3hQTnGNwxtxXSeCfveJP+w5c/ySrx8H6GdSbUFtJI5mmE7rHcypE8mc72jDBC2RnJHNaVjptpp32n7JF5f2mdrib5id0jYyeTx0HA4oA851vxhrun317p8N0DcabqMl7c5iQl9NREkK9OP9aF3dflPOa0ofEeqXLaVdpdg2moeJZbSICNCDapFMoAOM8vFvz15644rqpfDmkTapd6nJZI15d2v2OeQs3zw8/LjOO/Xr+VNg8NaRa2Gl2UNmEttKkEtmgkb90wVlBznLcO3XPXPWgDzzV7zWNZ8MWet3GrAWtzrtvGNO8lAsaJeqqgNjeXygJySOowOtWIrC6S2+JFw2r3bwrPdBrVo4djk2cZBJCbsgEAYYDCjOTknr5/A3hy4vWu5dOJla4W6wJ5AgmDBvMCBtobI5IGTznOTVqfwtpFxfXl49vKJb2MxXIS5lRJgU2HcgYKTt43YyMDmgDmfD11rGl33ha0u9T+2Wuqae26AwIi27xxoy7CBuIwSDuJ7HjpWl4qvdVTxH4b0rTdS+wJqElws8giR2ISPcNu4EbuPp6g9K3RounibTphb/ALzTkaO1O9v3asoUjrzwAOc1leI/C6+Ida0S4uAjWdk0zSr5jpJlkAUoy8ggjOcgigDmLrxXr1nZSaSss17frrh0tb23hi8x4/I8/cFYrH5mDs5wOCcHpS3WteMLPQZxKLm1mOp2VvZ3eoQ25kkSWVUcOkTFOCTyNpwR0IzXYDwnoY0T+x/sCmy8zzdpdi/mZzv3k79+ed2c+9EXhPRobX7N9nmkj+0RXOZrqWVzJGwZCWZixwQDjOPagDlzpGpD4n2Ub+JNQaRNHkdpRDbgyATplCPLwAcgcYPA565dJ4m1VPBU9+bwC8XXzZK5jTiL7eItmMY/1fGcZ79ea67UNA07VL62vbmKUXVsCIpobiSFgCQSpKMNykqPlORx0qhceB/Dt1eyXc2nlpZLhbpgJ5AnnKwYSBA20NlRkgZPIOQTQBgmfWtUn8YtNq7pp+nTSQQ2scEfzj7MjEOxXOMvkYIOc5JGAKvhe81jSdN8DtNqwvbPVoI7ZrTyUUQf6OZEZGA3HAjw24nOcjHSu7j0awiXUVSDA1GQyXXzt+8YoqE9ePlVRxjpWfpXgzQNEuobnT7AxSQRmKHdPI6xKeuxWYhScckAE980AclZ+LtSOv6NcQ3Op3ej6reNbLJd2tvFAwKOytCVIl6p/ECCM8jiqNg2q6D4E8V6rb65dySw6jfLHHLDAUDi6IMnEYJY85BO3k4A4x29v4F8OWl5b3UOnlZbaYz24NxKVhc5zsUttUHJyoAB444FSy+DtDmOoB7WXy9Rz9qiF1KI3JIYtsDbVYkAlgAevPJoAwNW1PXbu/8AFEthrC6dDoKL5cBgR1nbyRMWlLAkKdwUbSvQnNMi1PX/ABFr8sFlq76Va/2LaXyxpbxyMsspl4JdT8vygEdeBgjnPSap4Q0LWr03d/Y+ZMyCOTbM6LMoOQsiqwEgGTwwNX49Ls4tSm1FIQt1NClvI4Y8xoWKjGcDBdug70AZ/hvUrjxF4J03UZJDbXN9YpIzwgfu3ZOWUMCODyAQR65rhfDE9xo/w70lU1jVHu9SuXS3itbW3eUkGRmVNyBeQCxZ84x2zXpmm6daaRpttp1jF5VpbRiKKPcW2qBgDJJJ/Gs6XwlokukWultZstraSebbiOeRHibnlZAwcH5m798UAcfZ+Ltdn0SSzeRoNR/t5dIF1dQx740ZFk3uiMULgMVABxnHHUVZ8XaRqccHhyCXxHfSyHXIttx5FurrlGxwI9pIIOOP4uc8V0sPg3w/b6XeaZHpqfY7yUTzxs7NvkAUb8k5DfIpyCDkZ680p8I6M2ltpzwXEluZlnzJeTPIsgxhlkLl1IwMYIoAwri41681fVtPtPED2a6LaQnzXt4na6ldWYvLlcBflAwgXndyOlV9O1rXfE+taTHb6k2l2l1oEGpTRwwRu4ld+il1OBj1B4AxgnNdFfeC9B1LyTeWksrRQC33m6lDSRDokjBsyDrw+7qfWtKPSbGHUhqEVuqXItxahlJAEQO4KF6Dk+lAF2iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/Z",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"mAP values per area for resolution perturbed dataset\")\n",
    "plt.xlabel(\"pixel width perturbation factor\")\n",
    "plt.ylabel(\"mAP\")\n",
    "plt.xticks(\n",
    "    [j for i, j in enumerate(resolution_perturbation_values) if not i % 6] + [resolution_perturbation_values[-1]],\n",
    ")\n",
    "for k in (\"map\", \"map_small\", \"map_medium\"):\n",
    "    plt.plot(\n",
    "        resolution_perturbation_values,\n",
    "        # Clip values to 0 if negative\n",
    "        [m[k].item() if m[k].item() >= 0 else 0 for m in res_perturbed_metrics],\n",
    "        label=k,\n",
    "    )\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6e276bd-2eaf-4a4c-a3cd-9bb8c98fa30c",
   "metadata": {},
   "source": [
    "The `map` line covers all sizes; `map_small` and `map_medium` are the mean average precision for objects (smaller than 32^2 pixels, between 32^2 and 96^2 pixels) in area, respectively. (There are no detections in the `map_large` category.) Here, the mAP value is averaged over a **range** of IoU thresholds, between 0.5 and 0.95. We see that medium objects, quickly go from accurate to false positive detections while the small targets have a steady decline in mAP. The false positive values for the medium targets could be due to the fact that the medium targets become the size of small targets and get confused with the original small target distribution while the small targets do not move into any other categories original distribution.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa67a919",
   "metadata": {},
   "source": [
    "### Noise-focused Sensor Tranformation Analysis\n",
    "\n",
    "Now we will analyse the noise focused sensor transformation that perturbs the bit depth parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a2d04630",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "map50_list = [m[\"map_50\"].item() for m in noise_perturbed_metrics]\n",
    "plt.title(\"mAP@50 on noise perturbed dataset\")\n",
    "plt.xlabel(\"bit depth perturbation factor\")\n",
    "plt.ylabel(\"mAP @ 50% IoU\")\n",
    "_ = plt.plot(noise_perturbation_values, map50_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c80ff811",
   "metadata": {},
   "source": [
    "#### Evaluation Interpretation\n",
    "\n",
    "When The bit depth is extremely low with less than 9-10 bits, there is significant performance drop, but after 9-10 bits, the performance holds steady at one. This is due sto the fact that once the necessary bit depth is reached, all higher bit depth values are guaranteed to be able to adequately represent the values of the pixels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "135a54be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Each instance of the metrics object has, potentially, a different set of observed classes.\n",
    "# Loop through them to accumulate a unified set of classes to ensure consistent plotting across\n",
    "# all thresholds.\n",
    "#\n",
    "\n",
    "unified_classes = set()\n",
    "for m in noise_perturbed_metrics:\n",
    "    for class_idx in m[\"classes\"].tolist():\n",
    "        unified_classes.add(class_idx)\n",
    "\n",
    "#\n",
    "# dictionary of class_idx -> list of per-class mAP, or 0 if not present at that threshold\n",
    "#\n",
    "\n",
    "class_mAP = {class_idx: list() for class_idx in unified_classes}  # noqa: N816\n",
    "\n",
    "#\n",
    "# populate the lists across the perturbation values\n",
    "#\n",
    "\n",
    "for m in noise_perturbed_metrics:\n",
    "    this_perturbation_classes = m[\"classes\"].tolist()\n",
    "    for class_idx in unified_classes:\n",
    "        if class_idx in this_perturbation_classes:\n",
    "            # the index of the class in this individual metric instance\n",
    "            this_class_idx = this_perturbation_classes.index(class_idx)\n",
    "            class_map_value = m[\"map_per_class\"][this_class_idx].item()\n",
    "            # Clip value to 0 if negative\n",
    "            if class_map_value < 0:\n",
    "                class_mAP[class_idx].append(0)\n",
    "            else:\n",
    "                class_mAP[class_idx].append(m[\"map_per_class\"][this_class_idx].item())\n",
    "        else:\n",
    "            class_mAP[class_idx].append(0)\n",
    "\n",
    "#\n",
    "# plot\n",
    "#\n",
    "\n",
    "plt.title(\"mAP per class for noise perturbed dataset\")\n",
    "plt.xlabel(\"bit depth perturbation factor\")\n",
    "plt.ylabel(\"mAP @ 50% IoU\")\n",
    "for class_idx, class_mAP_list in class_mAP.items():  # noqa: N816\n",
    "    plt.plot(noise_perturbation_values, class_mAP_list, label=baseline[0].names[class_idx])\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8649321b",
   "metadata": {},
   "source": [
    "We see here that the car class is the least resilient to change in the bit depth as it takes the highest value to achieve perfect mAP.\n",
    "\n",
    "Interestingly when the bit depth is ~3, the model incorrectly attributes one of the detections to the boat class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c5e32cde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"mAP values per area for noise perturbed dataset\")\n",
    "plt.xlabel(\"bit depth perturbation factor\")\n",
    "plt.ylabel(\"mAP\")\n",
    "for k in (\"map\", \"map_small\", \"map_medium\"):\n",
    "    plt.plot(noise_perturbation_values, [m[k].item() for m in noise_perturbed_metrics], label=k)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fb27b941602401d91542211134fc71a",
   "metadata": {},
   "source": [
    "This final comparison shows that medium and small detections respond similarly to the perturbations in bit depth. There are no large detections in the original set of detections, so it is not unexpected that there are no large objects in the graph."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b28b9f2a-7217-4427-9c4f-f84656a4dcf2",
   "metadata": {},
   "source": [
    "## End of Notebook"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "nrtk-QgDWFgV4-py3.10",
   "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}