Create_Dataset.ipynb

{
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    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import networkx as nx\n",
    "import pickle\n",
    "import numpy as np\n",
    "import shutil\n",
    "import matplotlib.pyplot as plt\n",
    "from pandas.core.common import flatten\n",
    "import numpy as np\n",
    "import glob\n",
    "from tqdm import tqdm\n",
    "from pathlib import Path\n",
    "import json\n",
    "import random\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "867ca262-c5a1-4079-a0f2-53ad5f39030b",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "dataset_path = '/datasets/ricordi'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bafde62a",
   "metadata": {
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    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def data_json(dataset_path):\n",
    "    dataset = []\n",
    "    # iterate through all folders in the directory\n",
    "    for folder in glob.glob(dataset_path + '/*'):\n",
    "        for files in glob.glob(folder + '/*'):\n",
    "            # check if the file is either a folder or a json file\n",
    "            if os.path.isdir(files):\n",
    "                for data_path in glob.glob(files + '/*'):\n",
    "                    dataset.append(glob.glob(data_path + '/*.json'))\n",
    "            elif files.endswith('.json'):\n",
    "                dataset.append(files)\n",
    "    dataset = list(flatten(dataset))\n",
    "    print(\"Total json files:\", len(dataset))\n",
    "    return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7ffe013d",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def sort_by_key(data,key):\n",
    "    dataset = []\n",
    "    for i in data:\n",
    "        f = open(i)\n",
    "        json_data = json.load(f)\n",
    "        if key in json_data:\n",
    "            dataset.append(i)\n",
    "        else:\n",
    "            continue\n",
    "    print(\"Json with annotazione1 present:\",len(dataset))\n",
    "    return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "44ccb5ff",
   "metadata": {
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    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "dmerge_classes = [[2, 15], [7, 9]]\n",
    "classes_relevant = [5,6,7,8,9,10,11,12,14,16]\n",
    "classes_irrelevant = [0,1,2,3,4,15,17]\n",
    "classes = classes_relevant + classes_irrelevant\n",
    "\n",
    "# Define the class names in the same order as the classes list\n",
    "class_names_relevant = [\n",
    "    \"Pause (full or almost)\",\n",
    "    \"Single note (with at least the head)\",\n",
    "    \"Multiple Notes (with at least the head)\",\n",
    "    \"Single chord (with at least heads)\",\n",
    "    \"Multiple chords (with at least heads)\",\n",
    "    \"Accidental(s) (whole or nearly so)\",\n",
    "    \"Key(s) (whole(s) or nearly)\",\n",
    "    \"Embellishment(s) (whole(s) or nearly)\",\n",
    "    \"More categories (with at least one musical sign)\",\n",
    "    \"Other (with at least one musical sign)\"\n",
    "]\n",
    "\n",
    "class_names_irrelevant = [\n",
    "    \"Page border\",\n",
    "    \"Erasure\",\n",
    "    \"Blurr\",\n",
    "    \"Printed Text\",\n",
    "    \"Manuscript Text\",\n",
    "    \"More categories (no musical signs)\",\n",
    "    \"Other (without musical markings)\"\n",
    "]\n",
    "\n",
    "# Combine the relevant and irrelevant class names\n",
    "class_names = class_names_relevant + class_names_irrelevant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "01aa2073",
   "metadata": {
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     "end_time": "2024-05-04T15:42:20.029283",
     "exception": false,
     "start_time": "2024-05-04T15:42:04.562101",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total json files: 469590\n",
      "Json with annotazione1 present: 196639\n"
     ]
    }
   ],
   "source": [
    "json_list = data_json(dataset_path)\n",
    "sorted_list_by_key = sort_by_key(json_list, \"annotazione1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6b6e2cb7",
   "metadata": {
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     "end_time": "2024-05-04T15:42:20.105272",
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     "status": "completed"
    },
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   },
   "outputs": [],
   "source": [
    "def plot_distribution_by_class(sorted_list_by_key, classes, key):\n",
    "    count = {i: 0 for i in classes}\n",
    "    \n",
    "    for i in sorted_list_by_key:\n",
    "        with open(i) as f:\n",
    "            json_data = json.load(f)\n",
    "            class_index = json_data[key]\n",
    "            count[class_index] += 1\n",
    "    \n",
    "    print(count)\n",
    "\n",
    "    # reorder classes, relevant first\n",
    "    count = [count[i] for i in classes_relevant] + [count[i] for i in classes_irrelevant]\n",
    "    labels = [\"Relevant\"] + [None] * (len(classes_relevant) - 1) + [\"Irrelevant\"] + [None] * (len(classes_irrelevant) - 1)\n",
    "    colors = [\"tab:red\" for _ in classes_relevant] + [\"tab:blue\" for _ in classes_irrelevant]\n",
    "    \n",
    "    plt.figure(figsize=(10, 6))  # Set the size of the figure\n",
    "    \n",
    "    x = np.arange(len(classes))  # Generate an array of class indices\n",
    "    sns.set_theme(rc={'figure.figsize':(11.7,8.27)})\n",
    "    plt.rcParams.update({'font.size': 8})\n",
    "    plt.bar(x, count, label=labels, color=colors)\n",
    "    plt.xticks(x, class_names, rotation=45, ha='right')  # Set custom x-axis tick positions and labels\n",
    "    plt.xlabel(\"Classes\")\n",
    "    plt.ylabel(\"Count\")\n",
    "    plt.title(\"Class Count\")\n",
    "    plt.legend()\n",
    "    plt.yscale('log')\n",
    "    plt.ylim(300, 130000)\n",
    "    plt.show()\n",
    "\n",
    "    return count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c8cb127f",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{5: 316, 6: 2998, 7: 5621, 8: 975, 9: 818, 10: 2206, 11: 3370, 12: 779, 14: 9039, 16: 1173, 0: 118966, 1: 10370, 2: 13052, 3: 4246, 4: 12501, 15: 1443, 17: 8766}\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "count = plot_distribution_by_class(sorted_list_by_key,classes, \"annotazione1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8ccaf0d3-e66f-4548-b3f1-31dab717695a",
   "metadata": {
    "papermill": {
     "duration": 0.03691,
     "end_time": "2024-05-04T15:42:25.003815",
     "exception": false,
     "start_time": "2024-05-04T15:42:24.966905",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median is 3370.0\n",
      "Mean is 11567.0\n",
      "Min is 316\n",
      "Merging classes: ['Pause (full or almost)', 'Single chord (with at least heads)', 'Accidental(s) (whole or nearly so)', 'Embellishment(s) (whole(s) or nearly)', 'Other (with at least one musical sign)']\n",
      "Total of `Remaining` class:  5449\n"
     ]
    }
   ],
   "source": [
    "# Merge classes that have cardinality < 0.5 of median cardinality\n",
    "merged = []\n",
    "m = np.median(count)\n",
    "print(\"Median is\", m)\n",
    "print(\"Mean is\", np.mean(count))\n",
    "print(\"Min is\", np.min(count))\n",
    "\n",
    "# note, we force classes 9 and 7 and classes 15 and 2 to look like if they the same number of samples \n",
    "# (the sum of the two) so that they are appended to `merged` together\n",
    "count_ = np.copy(count)\n",
    "count_[classes.index(9)] += count_[classes.index(7)]\n",
    "count_[classes.index(15)] += count_[classes.index(2)]\n",
    "count_[classes.index(7)] = count_[classes.index(9)]\n",
    "count_[classes.index(2)] = count_[classes.index(15)]\n",
    "\n",
    "for i, c in enumerate(count_):\n",
    "    if c < 0.75 * m:\n",
    "        merged.append(classes[i])\n",
    "\n",
    "print(\"Merging classes:\", [class_names[classes.index(i)] for i in merged])\n",
    "print(\"Total of `Remaining` class: \", sum(count_[classes.index(c)] for c in merged if c not in [15, 9]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a5765b32-6093-48a8-bbb4-2e3fb779d401",
   "metadata": {
    "papermill": {
     "duration": 0.340747,
     "end_time": "2024-05-04T15:42:25.352181",
     "exception": false,
     "start_time": "2024-05-04T15:42:25.011434",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median now is 8766.0\n",
      "Mean now is 16736.384615384617\n",
      "Min now is 2998\n",
      "Cardinalities: [('Single note (with at least the head)', 2998), ('Multiple Notes (with at least the head)', 6439), ('Multiple chords (with at least heads)', 6439), ('Key(s) (whole(s) or nearly)', 3370), ('More categories (with at least one musical sign)', 9039), ('Page border', 118966), ('Erasure', 10370), ('Blurr', 14495), ('Printed Text', 4246), ('Manuscript Text', 12501), ('More categories (no musical signs)', 14495), ('Other (without musical markings)', 8766), ('Remaining', 5449)]\n"
     ]
    }
   ],
   "source": [
    "sns.set_theme(rc={'figure.figsize':(11.7,8.27)})\n",
    "\n",
    "count__ = [count_[i] for i in range(len(class_names)) if classes[i] not in merged]\n",
    "count__.append(sum([count_[classes.index(c)] for c in merged if c not in [15, 9]]))\n",
    "labels = [\"Relevant\"] + [None] * 4 + [\"Irrelevant\"] + [None] * (len(classes_irrelevant) - 1) + [None]\n",
    "colors = [\"tab:red\" for _ in range(5)] + [\"tab:blue\" for _ in classes_irrelevant] + [\"tab:Red\"]\n",
    "\n",
    "class_names_ = [class_names[i] for i in range(len(class_names)) if classes[i] not in merged]\n",
    "class_names_.append(\"Remaining\")\n",
    "\n",
    "x = np.arange(len(class_names_))  # Generate an array of class indices\n",
    "plt.rcParams.update({'font.size': 8})\n",
    "plt.bar(x, count__, label=labels, color=colors)\n",
    "plt.xticks(x, class_names_, rotation=45, ha='right')  # Set custom x-axis tick positions and labels\n",
    "plt.xlabel(\"Classes\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Class Count\")\n",
    "plt.yscale('log')\n",
    "plt.ylim(300, 130000)\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"Median now is\", np.median(count__))\n",
    "print(\"Mean now is\", np.mean(count__))\n",
    "print(\"Min now is\", np.min(count__))\n",
    "print(\"Cardinalities:\", list(zip(class_names_, count__)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "57293a3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-04T15:42:25.361862Z",
     "iopub.status.busy": "2024-05-04T15:42:25.361460Z",
     "iopub.status.idle": "2024-05-04T15:42:25.389187Z",
     "shell.execute_reply": "2024-05-04T15:42:25.387705Z"
    },
    "papermill": {
     "duration": 0.035453,
     "end_time": "2024-05-04T15:42:25.391887",
     "exception": false,
     "start_time": "2024-05-04T15:42:25.356434",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "source_dataset_path = Path('./data/source/')\n",
    "binary_dataset_path = Path('./data/binary_dataset')\n",
    "relevant_path = binary_dataset_path / 'data' / 'relevant'\n",
    "irrelevant_path = binary_dataset_path / 'data' / 'irrelevant'\n",
    "source_dataset_path.mkdir(exist_ok=True, parents=True)\n",
    "relevant_path.mkdir(exist_ok=True, parents=True)\n",
    "irrelevant_path.mkdir(exist_ok=True, parents=True)\n",
    "multiclass_dataset_path = Path('./data/multiclass_dataset') / 'data'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b159a951",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-04T15:42:25.409433Z",
     "iopub.status.busy": "2024-05-04T15:42:25.408596Z",
     "iopub.status.idle": "2024-05-04T15:43:07.981701Z",
     "shell.execute_reply": "2024-05-04T15:43:07.981041Z"
    },
    "papermill": {
     "duration": 42.587022,
     "end_time": "2024-05-04T15:43:07.986366",
     "exception": false,
     "start_time": "2024-05-04T15:42:25.399344",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "0it [00:00, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "1157it [00:00, 11565.57it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "2314it [00:00, 10811.24it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "3625it [00:00, 11818.66it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "5084it [00:00, 12886.14it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "6379it [00:00, 12891.13it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "7715it [00:00, 13046.16it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "9023it [00:00, 12954.21it/s]"
     ]
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      "\r",
      "492561it [00:41, 12629.59it/s]"
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    {
     "name": "stderr",
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     "text": [
      "\r",
      "493860it [00:41, 12733.62it/s]"
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     "name": "stderr",
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     "text": [
      "\r",
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    {
     "name": "stderr",
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      "\r",
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    {
     "name": "stderr",
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      "\r",
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\r",
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "500295it [00:41, 11835.90it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "501488it [00:42, 11477.30it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "502745it [00:42, 11783.36it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "\r",
      "503243it [00:42, 11828.78it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from shutil import copyfile\n",
    "\n",
    "# copy all relevant images to both datasets\n",
    "for json_file in tqdm(Path(dataset_path).glob(\"**/*.json\")):\n",
    "    with open(json_file, 'r') as f:\n",
    "        data = json.load(f)\n",
    "        if \"annotazione1\" in data:\n",
    "            label = int(data[\"annotazione1\"])\n",
    "            png_path = Path(data[\"path\"][18:])\n",
    "            # compute the name of the physical copy\n",
    "            copied_path = source_dataset_path / png_path\n",
    "            # copy the file\n",
    "            if not copied_path.exists():\n",
    "                copied_path.parent.mkdir(exist_ok=True, parents=True)\n",
    "                copyfile(dataset_path / png_path, copied_path)\n",
    "            \n",
    "            # symlink into the binary dataset\n",
    "            if label in classes_irrelevant:\n",
    "                binary_path = irrelevant_path / png_path.name\n",
    "            elif label in classes_relevant:\n",
    "                binary_path = relevant_path / png_path.name\n",
    "            else:\n",
    "                print(\"Unknown label!\")\n",
    "            target = os.path.relpath(copied_path, start=binary_path.parent)\n",
    "            if not binary_path.exists():\n",
    "                binary_path.symlink_to(target)\n",
    "            \n",
    "            # symlink to the multiclass dataset\n",
    "            # N.B. handle merged classes\n",
    "            if label in merged:\n",
    "                class_name = \"Remaining\"\n",
    "            elif label in [9, 7]:\n",
    "                class_name = \"Multiple notes or chords\"\n",
    "            elif label in [15, 2]:\n",
    "                class_name = \"Blurr or multiple categories (no music signs)\"\n",
    "            else:\n",
    "                class_name = class_names[classes.index(label)]\n",
    "            class_path = multiclass_dataset_path / class_name\n",
    "            class_path.mkdir(exist_ok=True, parents=True)\n",
    "            multiclass_name = (class_path / png_path.name)\n",
    "            # note relative_to doesn't work for an issue in python 3.9 https://bugs.python.org/issue40358\n",
    "            target = os.path.relpath(copied_path, start=multiclass_name.parent)\n",
    "            if not multiclass_name.exists():\n",
    "                multiclass_name.symlink_to(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e2678781-d56a-491a-97f2-dc199c2f94c4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-04T15:43:08.043400Z",
     "iopub.status.busy": "2024-05-04T15:43:08.042631Z",
     "iopub.status.idle": "2024-05-04T15:43:12.159281Z",
     "shell.execute_reply": "2024-05-04T15:43:12.158545Z"
    },
    "papermill": {
     "duration": 4.14275,
     "end_time": "2024-05-04T15:43:12.163177",
     "exception": false,
     "start_time": "2024-05-04T15:43:08.020427",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files in binary dataset: 198159\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files in multiclass dataset: 198159\n"
     ]
    }
   ],
   "source": [
    "# count the files copied\n",
    "print(\"Files in binary dataset:\", len(list(binary_dataset_path.glob(\"**/*.png\"))))\n",
    "print(\"Files in multiclass dataset:\", len(list(multiclass_dataset_path.glob(\"**/*.png\"))))"
   ]
  }
 ],
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