Learning vis2d

08_2d_visulization/submissions/kim8210.ipynb

@@ -0,0 +1,137 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "36786708-42e2-421b-847c-64a026c2e812",
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n",
+     "is_executing": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from PIL import Image\n",
+    "import matplotlib.pyplot as plt\n",
+    "import cv2\n",
+    "import numpy as np "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "caaab820-0022-4a67-adf2-e5b8c2c56372",
+   "metadata": {
+    "pycharm": {
+     "is_executing": true,
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "sample = Image.open(\"sample.jpg\")\n",
+    "plt.imshow(sample)\n",
+    "image = cv2.imread(\"sample.jpg\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "original = image.copy()\n",
+    "image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)\n",
+    "lower = np.array([0,50,50], dtype=\"uint8\")\n",
+    "upper = np.array([10,255,255], dtype=\"uint8\")\n",
+    "mask = cv2.inRange(image, lower, upper)\n",
+    "\n",
+    "cnts = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
+    "cnts = cnts[0] if len(cnts) == 2 else cnts[1]\n",
+    "cv2.fillPoly(mask, cnts, (255,255,255))\n",
+    "result = cv2.bitwise_and(original,original,mask=mask)\n",
+    "\n",
+    "cv2.imread('mask', mask)\n",
+    "cv2.imread('result', result)\n",
+    "cv2.waitKey()\n",
+    "#changed\n",
+    "\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7e63a999",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "da5bb592",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb43bf38",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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
+}