bicubic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mRunning cells with 'yolov7' requires ipykernel package.\n",
      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
      "\u001b[1;31mCommand: 'conda install -n yolov7 ipykernel --update-deps --force-reinstall'"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from PIL import Image\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the input and output directories\n",
    "input_dir = \"G:\\\\WORK\\\\YOLOV7\\\\yolov7\\\\downscaled_360p\"\n",
    "output_dir = \"G:\\\\WORK\\\\YOLOV7\\\\yolov7\\\\bicubic_images\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the bicubic resize factor\n",
    "resize_factor = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Gyana\\AppData\\Local\\Temp\\ipykernel_21060\\148142644.py:7: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.\n",
      "  image = image.resize((image.width * resize_factor, image.height * resize_factor), resample=Image.BICUBIC)\n"
     ]
    }
   ],
   "source": [
    "# Iterate over the files in the input directory\n",
    "for file in os.listdir(input_dir):\n",
    "  # Load the image\n",
    "  image = Image.open(os.path.join(input_dir, file))\n",
    "\n",
    "  # Resize the image using bicubic interpolation\n",
    "  image = image.resize((image.width * resize_factor, image.height * resize_factor), resample=Image.BICUBIC)\n",
    "\n",
    "  # Save the resized image to the output directory\n",
    "  image.save(os.path.join(output_dir, file))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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