dataset_88kps+some-updates

Karussell/Supervisely/karusell_create_3d_88.ipynb

@@ -0,0 +1,100 @@
+{
+ "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",
+    "%cd ..\n",
+    "from utils import *\n",
+    "%cd Karusell_implantation\n",
+    "from __init__ import *\n",
+    "box_pict = pict_points(425)\n",
+    "logo, pts_pict = readShield(\"mercedes2.png\")\n",
+    "%cd -\n",
+    "%cd keypoints_88\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'sputnik_88_kps.json', 'r') as file:\n",
+    "    img_json = json.load(file)\n",
+    "    \n",
+    "img = cv.imread(r'sputnik.png')\n",
+    "\n",
+    "df = pd.DataFrame([img_json['objects'][i]['points']['exterior'][0]\\\n",
+    "                   for i in range(len(img_json['objects']))], columns=['x','y'], index=range(1,89))\n",
+    "df_raw = df.copy()\n",
+    "center = (732, 758)\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",
+    "\n",
+    "\n",
+    "df = df.astype(float)\n",
+    "\n",
+    "# img = cv.circle(img, center, 5, (255,255,255), -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'))\n",
+    "\n",
+    "df[['x', 'y']] = df.values[:, :2]@roration(-3)\n",
+    "\n",
+    "rvec, tvec, camMatrx, dist = fit(img.shape[:2], df_raw, df)\n",
+    "imgpts = cv.projectPoints(box_pict, rvec, tvec, camMatrx, dist)[0][:, 0].astype(int)\n",
+    "img = overlaying(logo, img, pts_pict, imgpts[1:])\n",
+    "px.imshow(img)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12fa21fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# df.to_csv('karussel_88kps.csv')"
+   ]
+  }
+ ],
+ "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
+}