A simple script to augment image dataset

Image_Dataset_Augmentation.ipynb

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   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import os\n",
    "from PIL import Image"
   ]
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   "cell_type": "code",
   "execution_count": 19,
   "id": "f6c5e6e8",
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   "source": [
    "FOLDER_PATH = 'C:/Users/Socio/Desktop/Bangkit_Dataset/Plant_Diseases_Augmented/train/Rice_Leaf_Smut/'\n",
    "OUTPUT_PATH = 'C:/Users/Socio/Desktop/Bangkit_Dataset/Plant_Diseases_Augmented/train/Rice_Leaf_Smut/'"
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   "cell_type": "code",
   "execution_count": 23,
   "id": "226a8ca7",
   "metadata": {},
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   "source": [
    "for i, filename in enumerate(os.listdir(FOLDER_PATH)):\n",
    "    # Open the image\n",
    "    img = Image.open(os.path.join(FOLDER_PATH, filename))\n",
    "    \n",
    "    if img.mode == 'RGBA':\n",
    "        img = img.convert('RGB')\n",
    "    \n",
    "    # Flip the image horizontally\n",
    "    flipped_img = img.transpose(Image.FLIP_LEFT_RIGHT)\n",
    "    \n",
    "    # Save the flipped image to the output directory\n",
    "    flipped_img.save(os.path.join(OUTPUT_PATH, f'{i}_flipped.jpg'))\n",
    "    \n",
    "#         # Flip the image vertically\n",
    "#     flipped_img = img.transpose(Image.FLIP_TOP_BOTTOM)\n",
    "    \n",
    "#     # Save the flipped image to the output directory\n",
    "#     flipped_img.save(os.path.join(OUTPUT_PATH, f'{i}_flipped_vertically.jpg'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "69f61825",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i, filename in enumerate(os.listdir(FOLDER_PATH)):\n",
    "    os.rename(os.path.join(FOLDER_PATH, filename), os.path.join(FOLDER_PATH, f'{i}.jpg'))"
   ]
  }
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