augment_pascal_voc_dataset.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "825bc219",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n",
    "import imgaug as ia\n",
    "import imgaug.augmenters as iaa\n",
    "import xml.etree.ElementTree as ET\n",
    "from xml.dom import minidom\n",
    "from tqdm import tqdm\n",
    "from joblib import Parallel, delayed\n",
    "import multiprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2f1874d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████| 144888/144888 [05:53<00:00, 409.75it/s]\n"
     ]
    },
    {
     "data": {
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       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " ...]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Directory with the original JPEG images\n",
    "jpeg_dir = \"pascal_voc_datasets/VOCdevkit/PlotsEnchanced_Original_NoAugmentation/JPEGImages\"\n",
    "# Directory with the original Pascal_voc xml files\n",
    "annotation_dir = \"pascal_voc_datasets/VOCdevkit/PlotsEnchanced_Original_NoAugmentation/Annotations\"\n",
    "\n",
    "# Directory to save the augmented JPEG images\n",
    "aug_jpeg_dir = \"pascal_voc_datasets/VOCdevkit/PlotsEnchanced_Original_With-1X-Augmentation/JPEGImages\"\n",
    "# Directory to save the augmented Pascal_voc xml files\n",
    "aug_annotation_dir = \"pascal_voc_datasets/VOCdevkit/PlotsEnchanced_Original_With-1X-Augmentation/Annotations\"\n",
    "\n",
    "# Create directories if they don't exist\n",
    "os.makedirs(aug_jpeg_dir, exist_ok=True)\n",
    "os.makedirs(aug_annotation_dir, exist_ok=True)\n",
    "\n",
    "# Define the augmentation sequence\n",
    "seq = iaa.Sequential([\n",
    "    iaa.Sometimes(0.5, iaa.Fliplr(0.5)),\n",
    "    iaa.Sometimes(0.5, iaa.Flipud(0.5)),\n",
    "    iaa.Sometimes(0.5, iaa.Affine(scale={\"x\": (0.8, 1.2), \"y\": (0.8, 1.2)})),\n",
    "    iaa.Sometimes(0.5, iaa.AdditiveGaussianNoise(scale=0.1*255)),  # add gaussian noise\n",
    "    iaa.Sometimes(0.5, iaa.Affine(rotate=[90, 270]))  # rotate by either +90 or -90 degrees\n",
    "])\n",
    "\n",
    "def modify_xml(xml_path, image_aug, bbs_aug, new_xml_path, new_jpeg_path):\n",
    "    tree = ET.parse(xml_path)\n",
    "    root = tree.getroot()\n",
    "    root.find('folder').text = os.path.dirname(new_jpeg_path)\n",
    "    root.find('filename').text = os.path.basename(new_jpeg_path)\n",
    "    root.find('path').text = new_jpeg_path\n",
    "    size = root.find('size')\n",
    "    size.find('width').text = str(image_aug.shape[1])\n",
    "    size.find('height').text = str(image_aug.shape[0])\n",
    "\n",
    "    for i, obj in enumerate(root.iter('object')):\n",
    "        bb = bbs_aug[i]\n",
    "        xml_box = obj.find('bndbox')\n",
    "        xml_box.find('xmin').text = str(bb.x1)\n",
    "        xml_box.find('ymin').text = str(bb.y1)\n",
    "        xml_box.find('xmax').text = str(bb.x2)\n",
    "        xml_box.find('ymax').text = str(bb.y2)\n",
    "\n",
    "    xml_str = ET.tostring(root, encoding='utf8')\n",
    "    reparsed = minidom.parseString(xml_str)\n",
    "    pretty_str = reparsed.toprettyxml(indent=\"\\t\")\n",
    "\n",
    "    with open(new_xml_path, \"w\") as f:\n",
    "        f.write(pretty_str)\n",
    "\n",
    "# Number of augmented versions to generate per image\n",
    "num_aug_versions = 1\n",
    "\n",
    "# Parallel processing function\n",
    "def process_image(filename):\n",
    "    if filename.endswith(\".jpg\") or filename.endswith(\".jpeg\"):\n",
    "        basename = os.path.splitext(filename)[0]\n",
    "        jpeg_path = os.path.join(jpeg_dir, filename)\n",
    "        xml_path = os.path.join(annotation_dir, basename + '.xml')\n",
    "\n",
    "        # Load image\n",
    "        image = cv2.imread(jpeg_path)\n",
    "        # Convert BGR image to RGB\n",
    "        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
    "        \n",
    "        # Load bounding boxes from XML file\n",
    "        bbs = []\n",
    "        tree = ET.parse(xml_path)\n",
    "        root = tree.getroot()\n",
    "        for member in root.findall('object'):\n",
    "            bbox = member.find('bndbox')\n",
    "            bbs.append(ia.BoundingBox(\n",
    "                x1=int(bbox.find('xmin').text),\n",
    "                y1=int(bbox.find('ymin').text),\n",
    "                x2=int(bbox.find('xmax').text),\n",
    "                y2=int(bbox.find('ymax').text)\n",
    "            ))\n",
    "\n",
    "        bbs = ia.BoundingBoxesOnImage(bbs, shape=image.shape)\n",
    "\n",
    "        # Generate multiple augmented versions\n",
    "        for i in range(num_aug_versions):\n",
    "            # Apply augmentation\n",
    "            image_aug, bbs_aug = seq(image=image, bounding_boxes=bbs)\n",
    "\n",
    "            # Save the new JPEG file\n",
    "            new_jpeg_path = os.path.join(aug_jpeg_dir, basename + f\"_aug_{i}.jpg\")\n",
    "            # Convert RGB image back to BGR for saving\n",
    "            image_aug_bgr = cv2.cvtColor(image_aug, cv2.COLOR_RGB2BGR)\n",
    "            cv2.imwrite(new_jpeg_path, image_aug_bgr, [int(cv2.IMWRITE_JPEG_QUALITY), 60])\n",
    "\n",
    "            # Save the new XML file\n",
    "            new_xml_path = os.path.join(aug_annotation_dir, basename + f\"_aug_{i}.xml\")\n",
    "            modify_xml(xml_path, image_aug, bbs_aug.bounding_boxes, new_xml_path, new_jpeg_path)\n",
    "\n",
    "\n",
    "# Get list of files to process\n",
    "files_to_process = os.listdir(jpeg_dir)\n",
    "\n",
    "# Calculate the number of cores to use\n",
    "num_cores = multiprocessing.cpu_count() // 2\n",
    "\n",
    "# Process files in parallel\n",
    "Parallel(n_jobs=num_cores)(delayed(process_image)(filename) for filename in tqdm(files_to_process))"
   ]
  }
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