{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "descargas.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" } }, "cells": [ { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YUapjCJxZrrh", "outputId": "9ed57079-31b1-488d-f94f-a6ff38b718c6" }, "source": [ "from google.colab import drive\n", "drive.mount('/content/gdrive')" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "iQtuUR6madui", "outputId": "853693df-483c-4222-d035-b917fd424c96" }, "source": [ "import time\n", "import datetime\n", "import urllib.request\n", "import socket\n", "import matplotlib.pyplot as plt\n", "socket.setdefaulttimeout(30)\n", "\n", "\n", "\n", "#while True:\n", "while (int(datetime.datetime.now().strftime(\"%H\"))>5 and int(datetime.datetime.now().strftime(\"%H\"))<17): \n", " # setting filename and image URL\n", " try:\n", " print('dentro del try')\n", " name=str(datetime.datetime.now())\n", " filename = '/content/gdrive/MyDrive/Dataset/'+name+'.jpg' #here goes the path to your dataset folder on your google drive\n", " image_url = \"http://212.8.113.121:8081/jpg/1/image.jpg\"\n", " urllib.request.urlretrieve(image_url, filename)\n", " print('imagen '+name+' descargada.')\n", "\n", " #####\n", " imgBig=image.load_img(filename)\n", " plt.imshow(imgBig)\n", " plt.show()\n", "\n", "\n", " ####\n", "\n", "\n", " print('esperamos...')\n", " time.sleep(30)\n", " except:\n", " print('hay algun problemilla, esperamos medio minuto y reintentamos...')\n", " time.sleep(30)" ], "execution_count": null, "outputs": [] } ] }