data successfully added

Backend/SF_Weed_identification_Finalized.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "✅ 00 - Getting the Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Mounting the Google Drive \n",
+    "from google.colab import drive\n",
+    "drive.mount('/content/drive')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset_location  = '/content/drive/MyDrive/RP_SmartFarmer/Sandhini Gamage - Weed identification /Dataset/FinalizedWeedDataSet.zip'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#This will unzipped the dataset\n",
+    "import zipfile\n",
+    "zip_ref = zipfile.ZipFile(dataset_location, \"r\")\n",
+    "zip_ref.extractall()\n",
+    "zip_ref.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Checking What are the Directories and the Number of Files Available in each Directory\n",
+    "\n",
+    "FILE_DIR = '/content/content/Weed Dataset'  #Root Folder of the Dataset\n",
+    "import os\n",
+    "for dirpath , dirnames , filenames in os.walk(FILE_DIR):\n",
+    "  print(f\"There are {len(dirnames)} directories and {len(filenames)} images in '{dirpath}'.\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "collapsed_sections": [
+    "Y2jOdgL3j-o8",
+    "aZreBPlZ4qsv",
+    "HvDEsB_fj7_7",
+    "RFJbEeyUlUgn",
+    "Kel57RxVgizL",
+    "tP1N1tQL40Wd",
+    "s5mZEZ6D5Vpn",
+    "wGDfBTNj5Yko",
+    "er9YyCUV5snu",
+    "ILjba2jN-h-X"
+   ],
+   "provenance": []
+  },
+  "gpuClass": "standard",
+  "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": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}