{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9b13894c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import cv2 as cv\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "def roration(x):\n",
    "    x = np.deg2rad(x)\n",
    "    return np.array([[np.cos(x), -np.sin(x)],\n",
    "                    [np.sin(x), np.cos(x)]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3fc452a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(r'karusel.png.json', 'r') as file:\n",
    "    img_json = json.load(file)\n",
    "    \n",
    "img = cv.imread(r'karusel.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cfc4d7b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame([img_json['objects'][i]['points']['exterior'][0]\\\n",
    "                   for i in range(len(img_json['objects']))], columns=['x','y'], index=range(1,25))\n",
    "center = (1165, 874)\n",
    "df -= center\n",
    "df[['x', 'y']] = df.values[:, :2]@roration(90) # поворот x и y в плоскости земли\n",
    "df['z'] = 0\n",
    "\n",
    "df = df.loc[[1, 7, 6, 20, 2, 3, 4, 17, 18, 5, 22, 19, 8,\n",
    "        16, 9, 10, 11, 21, 15, 12, 14, 13, 24, 23]] # упорядочивание индексов\n",
    "\n",
    "df.index = list(range(1, 25))\n",
    "df = df.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07361259",
   "metadata": {},
   "outputs": [],
   "source": [
    "img = cv.circle(img, center, 5, (0,0,0), -1)\n",
    "fig = px.imshow(img)\n",
    "fig.add_trace(go.Scatter(x=df.x+center[0], y=df.y+center[1], text=df.index,\n",
    "                         marker=dict(color='red', size=5), mode='markers'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f18693d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['x', 'y']] = df.values[:, :2]@roration(44)"
   ]
  }
 ],
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