{ "cells": [ { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import cv2\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "img = cv2.imread(\"a\"+\".jpg\")\n", "img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n", "plt.axis('off')\n", "\n", "plt.subplot(2, 2, 1)\n", "plt.imshow(img)\n", "\n", "plt.subplot(2, 2, 2)\n", "plt.imshow(img)\n", "\n", "plt.subplot(2, 2, 3)\n", "plt.imshow(img)\n", "\n", "plt.subplot(2, 2, 4)\n", "plt.imshow(img)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }