update supervisely utils

Karussell/Supervisely/karusel_create_3d.ipynb

@@ -0,0 +1,102 @@
+{
+ "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)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}