demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo:\n",
    "\n",
    "A demonstration of how the functions in the 'hauptstimme' package can be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import librosa\n",
    "import os\n",
    "from music21 import converter\n",
    "from music21.stream.base import Score\n",
    "from pathlib import Path\n",
    "from datetime import datetime\n",
    "from hauptstimme.annotations import get_annotations_and_melody_score\n",
    "from hauptstimme.score_conversion import (\n",
    "    score_to_lightweight_df, score_measure_map_to_df, score_to_df\n",
    ")\n",
    "from hauptstimme.part_relations import get_part_relationship_summary\n",
    "from hauptstimme.segmentation import (\n",
    "    get_score_audio, get_hauptstimme_segmentation_points, get_seg_pts_vec, \n",
    "    novelty_based_segmentation, changepoint_segmentation, evaluate_seg_pts, \n",
    "    plot_seg_pts_eval\n",
    ")\n",
    "from hauptstimme.alignment.scraping import get_imslp_audio_files\n",
    "from hauptstimme.alignment.score_audio_alignment import (\n",
    "    align_score_audios, align_hauptstimme_annotations, \n",
    "    alignment_table_to_measure_timestamps\n",
    ")\n",
    "from hauptstimme.alignment.tempo_curves import (\n",
    "    alignment_table_to_tempo_curves, plot_alignment_table_tempo_curves\n",
    ")\n",
    "from hauptstimme.compare_annotations import *\n",
    "from hauptstimme.utils import ms3_convert, get_compressed_measure_map\n",
    "from hauptstimme.constants import CORPUS_PATH, SAMPLE_RATE\n",
    "from hauptstimme.types import RecFileMetadata\n",
    "from typing import cast, List"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "score_mscz = CORPUS_PATH / \"Beethoven,_Ludwig_van/Symphony_No.2,_Op.36/1/Beethoven_Op.36_1.mscz\"\n",
    "demo_dir = \"demo_files\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting/loading corpus files for a score:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get .mxl file\n",
    "ms3_convert(CORPUS_PATH, \"mscz\", \"mxl\", score_mscz.stem)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load .mxl file\n",
    "score_mxl = score_mscz.with_suffix(\".mxl\")\n",
    "score_ = converter.parse(score_mxl)\n",
    "if not isinstance(score_, Score):\n",
    "    raise ValueError(\n",
    "        \"Error: Score is not of type 'music21.stream.Score'.\"\n",
    "    )\n",
    "score = cast(Score, score_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get measure map\n",
    "score_mm = get_compressed_measure_map(score_mscz)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A quick note about computing measure maps at the time of producing this notebook (Aug 2024)...\n",
    "\n",
    "Our code uses the `ms3` package's `extract` command to extract measure information about the score, which is then used to build the measure map. During development, we discovered that this command ignores 'Fine' markings in voltas, which results in the score having no defined ending in this information, which causes infinite loops in later code such as `score_measure_map_to_df`.\n",
    "\n",
    "If you encounter similar issues, we used the following workaround:\n",
    "- Find the `ms3` source code: run `pip show ms3` in the command line and see the 'Location',\n",
    "- Navigate to this folder, then to ms3/bs4_measures.py,\n",
    "- Replace lines 935-940 in this file with `self.next[fine_mc].append(-1)`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load measure map\n",
    "score_mm = score_mscz.with_suffix(\".mm.json\")\n",
    "score_mm_df = pd.read_json(score_mm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Retrieved 86 annotations.\n"
     ]
    }
   ],
   "source": [
    "# Get annotations file and melody score - may need to adjust \n",
    "# `lyrics_not_text` and `annotation_restrictions`\n",
    "get_annotations_and_melody_score(score_mxl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load annotations file and melody score\n",
    "score_annotations = score_mscz.parent / f\"{score_mscz.stem}_annotations.csv\"\n",
    "score_annotations_df = pd.read_csv(score_annotations)\n",
    "melody_score = converter.parse(score_mscz.parent / f\"{score_mscz.stem}_melody.mxl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get lightweight score file\n",
    "score_lw_df = score_to_lightweight_df(score_mxl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load lightweight score file\n",
    "score_lw = score_mscz.with_suffix(\".csv\")\n",
    "score_lw_df = pd.read_csv(score_lw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Score conversion:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get data frame of note events\n",
    "# Note that running `score_to_df` on the score with repeats expanded \n",
    "# gets the same data frame without the `score_qstamp` column\n",
    "score_df = score_measure_map_to_df(score, score_mm_df)\n",
    "note_events = f\"{demo_dir}/{score_mscz.stem}_note_events.csv\"\n",
    "score_df.to_csv(note_events, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load data frame of note events\n",
    "note_events = f\"{demo_dir}/{score_mscz.stem}_note_events.csv\"\n",
    "score_df = pd.read_csv(note_events)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part relationship summaries:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get part relationship summary for score\n",
    "score_summary_df = get_part_relationship_summary(score_mxl, score_lw, score_annotations)\n",
    "score_summary_df.to_csv(f\"{score_mscz.parent}/{score_mscz.stem}_part_relations.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load part relationship summary for score\n",
    "score_summary = f\"{score_mscz.parent}/{score_mscz.stem}_part_relations.csv\"\n",
    "score_summary_df = pd.read_csv(score_summary)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Segmentation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get score audio\n",
    "score_audio = get_score_audio(score_mxl, demo_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load first 120s of score audio\n",
    "score_audio = f\"{demo_dir}/{score_mscz.stem}.mp3\"\n",
    "audio, _ = librosa.load(score_audio)\n",
    "audio = audio[:120*SAMPLE_RATE]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Declare what to round each timestamp to\n",
    "round_to = 0.25\n",
    "# Declare the maximum timestamp of the audio\n",
    "max_tstamp = 120\n",
    "# Declare the tolerance when comparing timestamps\n",
    "tau = 4     # Tolerance of 1 second"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get Hauptstimme annotation segmentation points\n",
    "haupt_seg_pts = get_hauptstimme_segmentation_points(score_lw, score_annotations, tstamp=True)\n",
    "haupt_seg_pts_vec = get_seg_pts_vec(haupt_seg_pts, round_to, max_tstamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 288x244.8 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 236,
       "width": 279
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 135,
       "width": 569
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Obtain novelty-based, tempogram-based segmentation points\n",
    "nb_seg_pts = novelty_based_segmentation(audio, plot=True)\n",
    "nb_seg_pts_vec = get_seg_pts_vec(nb_seg_pts, round_to, max_tstamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hauptstimme points compared to novelty-based, tempogram-based segmentation points:\n",
      "P = 0.444;  R = 0.138;  F = 0.211\n"
     ]
    },
    {
     "data": {
      "image/png": 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p1KhRatasWZreMuB+i/M5cv7NrH2R9QwAaZdhyRXLC0F7TuKJT+LY87pjWudj+bSPo/OBc02ePFkffPCBpIQO0RYvXmz1emlaJG4LGbm93S+OHDmiFi1a6PLly8qVK5dmzZqlRx99NMXyn3zyiQ4cOKDg4GANHz48Q2NjPWecF154Qc8884zi4+P12muvWTU/YXmsdXNzs9nHRsuWLc3hLVu2OBxHWtaxxHqWpP3795sdl3799ddpOq7evXtXXbp00dWrV1W8eHFt2rRJzz//vIoVK6bcuXMrKChIffv21bp16+Tl5aXTp0+n+eYu+3PaWO6PktSiRYsUyz722GPmk9KW+2NmXj+xTzvfjz/+KCnh6dHOnTs7PD3XYVnLsGHDFB4eLimhuadRo0apUqVK8vT0lJ+fnx5//HHzDQXDMPTuu+9q165d5vRch2UfvXr10ubNm9WuXTurfc7Dw0NPP/20tm/frtq1a5v/L1iwoDnMtVjO4Kzz7+7du/XWW2/JMAw1b95cq1atUvPmzeXn5ydPT09VrlxZY8aM0ZQpUyRJGzZsSNNDN9xvcS5Hz7+ZtS+yngEg7TwyqmIvLy8VLlxYFy9etOocKzmXL182D9CWnWPZw7KzrdTmY9nZlqPzgfPMnDnT7GCxZMmSWr58uYoUKZLueoOCgnT27NlUtwPp/7cFtoOkTp8+rebNm+v06dNyc3PT999/r9DQUJvTjBo1SpLUvHlzLViwINkyifv4zZs3NWvWLEkJTY0ltj9tL9ZzxgoNDdXs2bN18+ZNLV261OzY3nIZFihQIMnNXUuWZc+fP+9wDEFBQdq8ebNu3rypK1eu2Oy8MXEd+/v7W72ifr/68ssvFR0drTJlyujWrVvmvmbJstPzVatWmR3htmnTRr6+vlq6dKnZ1Nfrr7+u4sWLJzuvKlWq6Pnnn9fUqVO1bds27dq1y2yCyl7sz2mTJ08e+fv7m/uXrWXi5eWlIkWK6MyZM1b7Y2ZeP7FPO9fWrVvNjq1bt25tdfPVHlyHZS2GYej777+XJFWoUCHFZLWHh4dGjBihRo0aKT4+XtOnT9eXX34pieuw7KZmzZqaO3euYmNjFRUVpejoaAUGBppPjv/0009m2SpVqpjDXIvlDM46/4aFhZlvMA4fPly5cuVKto5evXrps88+08GDBzV9+nR9/vnnDjUbGBgY6JR4kbbzb2bti6xnAEi7DEuuSNKDDz6o8PBwHTp0SLGxseaTk/fav3+/OVy5cmWH55FcPc6eD5zjzz//VLdu3RQfH6+AgACtXLnS6gIzPR588EFt27ZNV69e1ZkzZ1K8IRgVFaVr165JYju414ULF/T444/r8OHDkhKefLenk9zEV4fDwsIUFhaW6jy6dOkiSWrSpInDP+pZzxnL39/fHD527Jg5XL58eeXOnVsxMTFmx4spsRyf0nHflgcffFC///67pITjdmKn3PeKjY3Vf//9J4l1nCjxNf3Dhw+b+5ktI0aMMIePHDkiX19f7du3z/xfzZo1bU5fq1Yts1mD/fv3O5xcYX9OuypVqph9bti7T1ruj5l5/cQ+7VyWHdk7+tYY12FZz9mzZ803RWvUqGGzbK1atcxhy/2S67DsycPDI9kbk9u2bTOH69ataw5zLZYzOOv868j1Ws2aNXXw4EFdunRJ586dU7FixeyON1++fAoODtaJEye435IOaT3/Zta+yHoGgLTLsGbBJKlRo0aSEp6QsrxIvNfatWvN4YYNGzo0j9KlS6tEiRJJ6knOunXrJCVk5UuVKuXQfJB+K1euVKdOnRQbG6vChQtr+fLlKlu2rNPqT9zeJNvbQnq2t5zs6tWratmypfk07GeffaZ+/fq5OKqkWM8Zy7JzcsvXvHPnzq369etLkq5du6YLFy6kWEfihb1k/RSUvexdx1u3bjWfxGUdO4/lTZjY2FibZWNiYpKdzl7sz2ln2VRjYkI8OZb7q+X+mJnXT+zTzhMTE2O+deDv768nn3zS7mm5DsuaMvOY6wys54wVFxenuXPnSkp4IrxBgwbmOK7FcgZnnX9dcb124MAB843n5LDfJy8959/M3BdZzwCQNhmaXGnbtq05nNJTVPHx8eYTeAUKFFDTpk0dmoebm5vZZNH+/fu1adOmZMtt2rTJzLCHhoY69Cos0i8iIkKhoaG6e/eu8ufPr7/++svqNXdnePrpp+XunrBJ23pqL7Gjbnd3dz399NNOjSG7unXrlp566ilt375dkvThhx9qwIABdk9vGEaqfyVLlpSU8Ap04v8Sn7p2BOs5Y82ZM8ccrlatmtW4Dh06mMPz5s1LsY7EmwKS1LhxY4djCAkJUf78+SVJP/zwgwzDSLZc4jqWpHbt2jk8n5xo+vTpqe6Llu1tr1692vx/4o/20qVLm+MT+wBIieWPK8vp7MX+nHaW++Mff/yRYrk//vjD3Ics98fMvH5in3aeJUuWmE38dO3a1e6bZFyHZV2FChWSn5+fJGnjxo02b5KmdMzlOiznmDZtmo4fPy5JeuWVV5I09cS1WPbnrPOvvddrMTEx2rhxwTZsHQAAGSpJREFUoyQpf/78KlSokMMxW97XsVznlm7duqXZs2dLSnjbokKFCg7PJydK7/k3M/dF1jMApJGRwRo3bmxIMjw8PIyIiIgk40ePHm1IMiQZQ4cOTTJ+9erV5vju3bsnO48DBw4YuXLlMiQZtWvXNm7dumU1/tatW0bt2rXNOP79919nfLX70pEjR1JdH/fasWOHUaBAAUOS4evra6xfvz5N827SpIk57yNHjiRb5oUXXjDLzJkzJ8n42bNnOxx/Tnf37l2jRYsW5nLp379/hsynZMmShiSjZMmSNsuxnjNGWFiYcfv2bZtlxo4day630qVLG7GxsVbjr1+/bhQtWtSQZJQoUcI4depUkjrWrFljHo+rVq1qxMfHJynTvXt3cz6rV69ONpbBgwebZUaPHp1kfEREhOHh4WFIMpo0aWLze8Ha0KFDbS7/y5cvGz4+PoYkI1++fMbu3buTrWfx4sWGu7u7IckIDAw04uLikpRhf85YTz75pCHJcHd3N1asWJFkfFRUlBEUFGRIMjw9PY2TJ09ajXfW9RP7dObp0KGDuRy3bdtm1zRch2V9Xbp0MZfLsGHDki1z6dIl48EHHzTL/fXXXw7Ng+uwrOHe47CllStXGt7e3oYko0KFCslet3EtlvWk5fexM86/f/31lznf6tWrG1evXk12XgMHDjTLdenSJdkyieNTOj5ER0cbZcqUMSQZfn5+xqFDh5KU6du3r1lPWFiY7QWQDbnyPoiz9kXWMwBkjAxPrmzfvt28SMybN6/x6aefGhs3bjRWrVplvPzyy+aBuUKFCsa1a9eSTG9PcsUwDOP99983y9WoUcOYNWuWsWXLFmPWrFlGjRo1zHEDBw7MwG+b84SHhxthYWHm35gxY8xl2bBhQ6txyZ1cDx06ZP4AkGR8+eWXxp49e2z+nT17NtlY7Pmxd/z4ccPf39+8EB0wYIARHh5uhIeHGwMGDDAvOvz9/Y0TJ044cUllX+3btzeXa7NmzYzdu3fbXD8HDhxI03yc+aOe9ey4kiVLGoUKFTJ69+5t/PDDD8b69euNnTt3GuHh4cbEiRONhg0bmsvd09PTWL58ebL1zJo1y3BzczN/1H/99ddGZGSkER4ebnz44Yfm8d7DwyPFHxD2/KC/du2aUaFCBbPcyy+/bKxatcrYuHGj8emnnxp58+Y1JBne3t7Gjh07nLSU7g+pJVcMwzA++ugjs0zevHmNgQMHGqtWrTJ27NhhLF261OjTp4+5n0kyfvzxx2TrYX/OWAcOHDB/tHt5eRnvv/++sW7dOmPLli3GhAkTzMSKJGPUqFHJ1uGM6yf26cxx6dIlI0+ePOYNU3twHZY97Nu3z0xqSzLatGlj/Pbbb8b27duNiIgIY+zYscYDDzxgjn/sscccngfXYVlDgQIFjNDQUGPKlCnGhg0bjK1btxpz5841XnjhBfOBhUKFChk7d+5MsQ6uxVwrvb+PEznj/NusWTOzXOnSpY1x48YZERERxvbt243Zs2cbTzzxhDne19fX2L9/f7L1pHbT3TAMY9GiReY2WqxYMePrr782Nm/ebCxdutQq8d+oUaMkD2hlR1npPoiz9kXWMwBkjAxPrhiGYfz555+Gn5+feSC+969ChQrGwYMHk53W3uRKXFyc0atXrxTnIcl48cUXk32yFimzvPC25+9eYWFhDk0vJf8Gk2HY92PPMAxj06ZNRvHixVOsv3jx4samTZuctISyP0fXT2o/ylPizB/1hsF6dlTi8k/tLygoyFi2bJnNur755hvD09MzxTry5s1rzJs3L8Xp7flBbxiGcfDgQaN8+fIpzsfPz89YsGBBWhfJfcue5Ep8fLzxxhtvmDdvUvrLnTu3MWbMmBTnxf6c8cLDw41ixYqluOzc3NyMQYMGpTi9M66f2Kczx6RJk8xlldyTq8nhOiz7WL58uVGkSJFU10+zZs2MS5cuOVw/12FZg6+vr831W6VKFZuJlURci7lOen8fJ3LG+ffSpUtG06ZNU43B398/xQenDMO+m+6GYRhTpkyxud3VrVvXOH/+fKrLMDvISvdBDMM5+yLrGQAyRob2uZKoTZs22r17t958801VqFBBPj4+KlCggGrXrq1Ro0Zpx44dKleuXLrm4e7urmnTpmnRokUKDQ1ViRIl5OnpqRIlSig0NFSLFy/W1KlTzTaCkXM98sgj2rNnjwYNGqSqVasqb968yps3r6pVq6ZBgwZp7969euSRR1wdJtKJ9eyYv/76S1988YXat2+v6tWrq1ixYvLw8FC+fPlUtmxZdejQQWFhYTpw4IAef/xxm3X169dP27dvV58+fVSuXDl5e3srb968ql69ut577z39+++/ZlvS6VGuXDnt2LFDo0aNUu3atVWgQAH5+PioYsWKevPNN7V79261bt063fNBUm5ubvryyy+1ZcsWvfr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vvvvuhMAhUW5u7pDnqqyspL6+no0bN/Lbb79RWFg4aLtYLMbKlSvjQcrx8vLyeO+99+JXePVLS0tjzZo13Hvvvbz88stEo1GWLl2adD2jRo064Xfp6emsX7+ehQsXUltby7Zt27jvvvtS3mNbWxttbW1J3xcXF1NXV0daWtqg78PhMADz5s0jIyMj5XklSZIkScOP4YokSdIwlpOTw7p162hububNN9/kyy+/ZNeuXXR2dpKbm8uECRMIhULMmjXrf7qqaubMmYwdO5adO3cSDod55JFHTmjz/fff88EHH9Dc3Ew0GiUWi7F//35ycnIoLi6mrKyMqqoqRo8ePegcGRkZvPTSS1RVVfHaa68RiURob2/n4MGDZGdnM378eK666ipmzpzJ7NmzBx1j5MiRrF27ls8//5zVq1fT3NzMnj176OnpYfTo0ZSWljJ79mxuvfXWeJ8ZM2YQiUT45JNPaGlpYceOHcRiMbq6ujj//POZNGkSc+fOpby8PH492vG+/vprfv31VwCqqqqCfl5JkiRJ0jCT1ns6q59KkiTpX+OZZ57h4Ycf5tJLL+XHH38kPd3yff0WLVrE66+/TllZGR9//PGZXo4kSZIk6TQzXJEkSVJKOjs7mThxIr///jvhcJhbbrnlTC/prNDe3k5RURHd3d20tLQkrckiSZIkSfr38M8NJUmSlJIRI0bEi9k/+eST+Dc6fZ5++mm6u7u5+eabDVYkSZIk6f8Ja65IkiQpZeXl5cRiMY4cOcLu3bu56KKLzvSSzqje3l4KCwt59NFHqaioONPLkSRJkiT9H/FaMEmSJEmSJEmSpAC8FkySJEmSJEmSJCkAwxVJkiRJkiRJkqQADFckSZIkSZIkSZICMFyRJEmSJEmSJEkKwHBFkiRJkiRJkiQpAMMVSZIkSZIkSZKkAAxXJEmSJEmSJEmSAjBckSRJkiRJkiRJCsBwRZIkSZIkSZIkKQDDFUmSJEmSJEmSpAAMVyRJkiRJkiRJkgIwXJEkSZIkSZIkSQrAcEWSJEmSJEmSJCkAwxVJkiRJkiRJkqQADFckSZIkSZIkSZICMFyRJEmSJEmSJEkKwHBFkiRJkiRJkiQpAMMVSZIkSZIkSZKkAAxXJEmSJEmSJEmSAjBckSRJkiRJkiRJCuC/AVmdCEtHnioAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x300 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 303,
       "width": 811
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the segmentation points comparison\n",
    "P, R, F, _, _, _, _, _ = evaluate_seg_pts(haupt_seg_pts_vec, nb_seg_pts_vec, tau)\n",
    "print(\"Hauptstimme points compared to novelty-based, tempogram-based segmentation points:\")\n",
    "print(\"P = %0.3f;  R = %0.3f;  F = %0.3f\" % (P, R, F))\n",
    "fig, ax = plot_seg_pts_eval(\n",
    "    haupt_seg_pts_vec, nb_seg_pts_vec, tau, round_to, other_seg_pts=\"Novelty-based, tempogram-based\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Obtain novelty-based, chromagram-based segmentation points\n",
    "nb_seg_pts = novelty_based_segmentation(audio, plot=True, features=\"chromagram\")\n",
    "nb_seg_pts_vec = get_seg_pts_vec(nb_seg_pts, round_to, max_tstamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot the segmentation points comparison\n",
    "P, R, F, _, _, _, _, _ = evaluate_seg_pts(haupt_seg_pts_vec, nb_seg_pts_vec, tau)\n",
    "print(\"Hauptstimme points compared to novelty-based, chromagram-based segmentation points:\")\n",
    "print(\"P = %0.3f;  R = %0.3f;  F = %0.3f\" % (P, R, F))\n",
    "fig, ax = plot_seg_pts_eval(\n",
    "    haupt_seg_pts_vec, nb_seg_pts_vec, tau, round_to, other_seg_pts=\"Novelty-based, chromagram-based\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Obtain changepoint detection segmentation points\n",
    "cd_seg_pts = changepoint_segmentation(audio)\n",
    "cd_seg_pts_vec = get_seg_pts_vec(cd_seg_pts, round_to, 120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot the segmentation points comparison\n",
    "P, R, F, _, _, _, _, _ = evaluate_seg_pts(\n",
    "    haupt_seg_pts_vec, cd_seg_pts_vec, tau\n",
    ")\n",
    "print(\"Hauptstimme points compared to changepoint detection-based segmentation points:\")\n",
    "print(\"P = %0.3f;  R = %0.3f;  F = %0.3f\" % (P, R, F))\n",
    "fig, ax = plot_seg_pts_eval(\n",
    "    haupt_seg_pts_vec, cd_seg_pts_vec, tau, round_to, other_seg_pts=\"Changepoint detection\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting IMSLP audio recordings for score:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get IMSLP wiki page URL for the set that the score is in \n",
    "sets = CORPUS_PATH / \"sets.tsv\"\n",
    "sets_df = pd.read_csv(sets, sep=\"\\t\")\n",
    "\n",
    "set_path = Path(*score_mscz.relative_to(CORPUS_PATH).parts[:2])\n",
    "set_url = sets_df.loc[sets_df[\"path\"] == set_path, \"imslp_link\"].item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performers: Pittsburgh Symphony Orchestra, William Steinberg\n",
      "Publisher: Command. CC 11024 SD.\n",
      "Year: 1964\n",
      "\tRecording #736441: 1. Adagio molto — Allegro con brio\n",
      "\tLink: https://imslp.org/images/8/83/PMLP2580-02.01._Symphony_No._2_In_D_Major%2C_Opus_36-_Adagio_Molto%2C_Allegro_Con_Brio.mp3\n",
      "\tRecording #736442: 2. Larghetto\n",
      "\tLink: https://imslp.org/images/a/a6/PMLP2580-02.02._Symphony_No._2_In_D_Major%2C_Opus_36-_Larghetto.mp3\n",
      "\tRecording #736443: 3. Scherzo. Allegro vivo\n",
      "\tLink: https://imslp.org/images/f/f2/PMLP2580-02.03._Symphony_No._2_In_D_Major%2C_Opus_36-_Scherzo-_Allegro.mp3\n",
      "\tRecording #736444: 4. Allegro molto\n",
      "\tLink: https://imslp.org/images/6/64/PMLP2580-02.04._Symphony_No._2_In_D_Major%2C_Opus_36-_Allegro_Molto.mp3\n",
      "Performers: Royal Philharmonic Orchestra, René Leibowitz\n",
      "Publisher: Reader's Digest. RDA-6 (1-7).\n",
      "Year: 1961\n",
      "\tRecording #729167: 1. Adagio molto — Allegro con brio\n",
      "\tLink: https://imslp.org/images/c/c3/PMLP2580-02.01._Symphony_No._2_In_D_Major%2C_Op._36-_First_Movement_-_Adagio_Molto%3B_Allegro_Con_Brio.mp3\n",
      "\tRecording #729168: 2. Larghetto\n",
      "\tLink: https://imslp.org/images/9/97/PMLP2580-02.02._Symphony_No._2_In_D_Major%2C_Op._36-_Second_Movement_-_Larghetto.mp3\n",
      "\tRecording #729169: 3. Scherzo. Allegro vivo\n",
      "\tLink: https://imslp.org/images/1/12/PMLP2580-02.03._Symphony_No._2_In_D_Major%2C_Op._36-_Third_Movement_-_Scherzo.mp3\n",
      "\tRecording #729170: 4. Allegro molto\n",
      "\tLink: https://imslp.org/images/4/4c/PMLP2580-02.04._Symphony_No._2_In_D_Major%2C_Op._36-_Fourth_Movement_-_Allegro_Molto.mp3\n",
      "Performers: Detroit Symphony Orchestra, Paul Paray\n",
      "Publisher: Mercury. MG50205.\n",
      "Year: 1959\n",
      "\tRecording #711707: 1. Adagio molto — Allegro con brio\n",
      "\tLink: https://imslp.org/images/a/a9/PMLP2580-01.01._Adagio_Molto_-_Allegro_Con_Brio.mp3\n",
      "\tRecording #711708: 2. Larghetto\n",
      "\tLink: https://imslp.org/images/e/ea/PMLP2580-01.02._Larghetto.mp3\n",
      "\tRecording #711709: 3. Scherzo. Allegro vivo\n",
      "\tLink: https://imslp.org/images/c/cc/PMLP2580-01.03._Scherzo_%28Allegro%29.mp3\n",
      "\tRecording #711710: 4. Allegro molto\n",
      "\tLink: https://imslp.org/images/f/f8/PMLP2580-02.01._Allegro_Molto.mp3\n",
      "Performers: Columbia Symphony Orchestra, Bruno Walter\n",
      "Publisher: CBS. BRG 72056.\n",
      "Year: 1959\n",
      "\tRecording #723421: 1. Adagio molto — Allegro con brio\n",
      "\tLink: https://imslp.org/images/6/6f/PMLP2580-01.01._Symphony_No._2_In_D_Major%2C_Op._36-_1st_Movt-_Adagio_Molto_-_Allegro_Con_Brio.mp3\n",
      "\tRecording #723422: 2. Larghetto\n",
      "\tLink: https://imslp.org/images/0/08/PMLP2580-01.02._Symphony_No._2_In_D_Major%2C_Op._36-_2nd_Movt-_Larghetto.mp3\n",
      "\tRecording #723423: 3. Scherzo. Allegro vivo\n",
      "\tLink: https://imslp.org/images/f/f3/PMLP2580-01.03._Symphony_No._2_In_D_Major%2C_Op._36-_3rd_Movt-_Scherzo_%28Allegro%29.mp3\n",
      "\tRecording #723424: 4. Allegro molto\n",
      "\tLink: https://imslp.org/images/e/e9/PMLP2580-02.01._Symphony_No._2_In_D_Major%2C_Op._36-_4th_Movt-_Allegro_Molto.mp3\n"
     ]
    }
   ],
   "source": [
    "# Get metadata for the audio recordings on the wiki page\n",
    "imslp_audio_metadata = get_imslp_audio_files(set_url, \"EU\")\n",
    "for rec in imslp_audio_metadata:\n",
    "    print(f\"Performers: {rec['performers']}\")\n",
    "    print(f\"Publisher: {rec['publisher']}\")\n",
    "    print(f\"Year: {rec['year']}\")\n",
    "    rec_files = cast(List[RecFileMetadata], rec[\"recording_files\"])\n",
    "    for rec_file in rec_files:\n",
    "        print(f\"\\tRecording #{rec_file['imslp_number']}: {rec_file['name']}\")\n",
    "        print(f\"\\tLink: {rec_file['imslp_link']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Alignment:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get score ID\n",
    "scores = CORPUS_PATH / \"scores.tsv\"\n",
    "scores_df = pd.read_csv(scores, sep=\"\\t\")\n",
    "score_path = score_mscz.parent.relative_to(CORPUS_PATH).as_posix()\n",
    "score_id = scores_df.loc[scores_df[\"path\"] == score_path, \"id\"].item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get audios for the score\n",
    "audios = pd.read_csv(CORPUS_PATH / \"audios.tsv\", sep=\"\\t\")\n",
    "score_audios = audios[audios[\"score_id\"] == score_id]\n",
    "\n",
    "# Create list of audio data for alignment\n",
    "score_audio_files = []\n",
    "for _, audio in score_audios.iterrows():\n",
    "    score_audio_files.append([audio[\"imslp_number\"], audio[\"imslp_link\"], None, None])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Also include audio for the Beethoven proof of concept YouTube video\n",
    "start_time = datetime.strptime(\"00:00:07\", \"%H:%M:%S\").time()\n",
    "end_time = datetime.strptime(\"00:12:10\", \"%H:%M:%S\").time()\n",
    "demo_audio_id = \"RNS\"\n",
    "score_audio_files.append([demo_audio_id, f\"{demo_dir}/{demo_audio_id}_{score_mscz.stem}.mp3\", start_time, end_time])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Aligning audio file 'https://imslp.org/images/8/83/PMLP2580-02.01._Symphony_No._2_In_D_Major%2C_Opus_36-_Adagio_Molto%2C_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 22 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'https://imslp.org/images/c/c3/PMLP2580-02.01._Symphony_No._2_In_D_Major%2C_Op._36-_First_Movement_-_Adagio_Molto%3B_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 22 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'https://imslp.org/images/a/a9/PMLP2580-01.01._Adagio_Molto_-_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 0 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'https://imslp.org/images/6/6f/PMLP2580-01.01._Symphony_No._2_In_D_Major%2C_Op._36-_1st_Movt-_Adagio_Molto_-_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 4 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'demo_files/RNS_Beethoven_Op.36_1.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 5 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "The alignment table was saved to 'demo_files/Beethoven_Op.36_1_alignment.csv'.\n"
     ]
    }
   ],
   "source": [
    "# Get alignment table using previously computed note events data frame\n",
    "score_alignment_df = align_score_audios(score_mxl, score_mm, score_audio_files, out_dir=demo_dir, note_events=note_events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load alignment table\n",
    "score_alignment = f\"{demo_dir}/{score_mscz.stem}_alignment.csv\"\n",
    "score_alignment_df = pd.read_csv(score_alignment)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tempo curves:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 315,
       "width": 825
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot tempo curves for the audio recordings\n",
    "tempo_curves = alignment_table_to_tempo_curves(score_alignment_df)\n",
    "plot_alignment_table_tempo_curves(score_alignment_df, tempo_curves, \"qstamp\", ylim=(0, 500))\n",
    "plt.show()\n",
    "# As we can see, all IMSLP recordings skip the repeat, whereas the \n",
    "# proof of concept video (RNS) does not"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Converting score to a data frame containing all note events...\n",
      "Conversion successful.\n"
     ]
    }
   ],
   "source": [
    "# Get note events for score without repeats expanded\n",
    "no_repeats_note_events = f\"{demo_dir}/{score_mscz.stem}_no_repeats_note_events.csv\"\n",
    "score_no_repeats_df = score_to_df(score)\n",
    "score_no_repeats_df[\"score_qstamp\"] = score_no_repeats_df[\"qstamp\"] # Add score_qstamp column\n",
    "score_no_repeats_df = score_no_repeats_df[\n",
    "    score_no_repeats_df.columns[[-1, *range(0, len(score_no_repeats_df.columns) - 1)]]\n",
    "]\n",
    "score_no_repeats_df.to_csv(no_repeats_note_events, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load note events for score without repeats expanded\n",
    "no_repeats_note_events = f\"{demo_dir}/{score_mscz.stem}_no_repeats_note_events.csv\"\n",
    "score_no_repeats_df = pd.read_csv(no_repeats_note_events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Aligning audio file 'https://imslp.org/images/8/83/PMLP2580-02.01._Symphony_No._2_In_D_Major%2C_Opus_36-_Adagio_Molto%2C_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 22 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'https://imslp.org/images/c/c3/PMLP2580-02.01._Symphony_No._2_In_D_Major%2C_Op._36-_First_Movement_-_Adagio_Molto%3B_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 22 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'https://imslp.org/images/a/a9/PMLP2580-01.01._Adagio_Molto_-_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 0 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'https://imslp.org/images/6/6f/PMLP2580-01.01._Symphony_No._2_In_D_Major%2C_Op._36-_1st_Movt-_Adagio_Molto_-_Allegro_Con_Brio.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 4 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "Aligning audio file 'demo_files/RNS_Beethoven_Op.36_1.mp3' to the score 'Beethoven_Op.36_1.mxl'.\n",
      "Estimated tuning deviation for recording: 5 cents\n",
      "................................................................................................................................................................................\n",
      "Pitch shift between the audio recording and score, determined by DTW: 0 bins\n",
      "\n",
      "The alignment table was saved to 'Beethoven_Op.36_1_alignment.csv'.\n"
     ]
    }
   ],
   "source": [
    "# Align audios to the score without repeats expanded to inspect this\n",
    "score_no_repeats_alignment_df = align_score_audios(\n",
    "    score_mxl, score_mm, score_audio_files, no_repeats_note_events\n",
    ")\n",
    "score_no_repeats_alignment = f\"{demo_dir}/{score_mscz.stem}_no_repeats_alignment.csv\"\n",
    "os.rename(f\"{score_mscz.stem}_alignment.csv\", score_no_repeats_alignment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load alignment table for score without repeats expanded\n",
    "score_no_repeats_alignment = f\"{demo_dir}/{score_mscz.stem}_no_repeats_alignment.csv\"\n",
    "score_no_repeats_alignment_df = pd.read_csv(score_no_repeats_alignment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 315,
       "width": 825
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Measure range: 122-147\n"
     ]
    }
   ],
   "source": [
    "# There are still high tempos (up to 6000 quarter notes per minute) in \n",
    "# the measure range 122-147\n",
    "tempo_curves = alignment_table_to_tempo_curves(score_no_repeats_alignment_df)\n",
    "plot_alignment_table_tempo_curves(score_no_repeats_alignment_df, tempo_curves, \"qstamp\", ylim=(0, 500))\n",
    "plt.show()\n",
    "\n",
    "measure_range = score_no_repeats_alignment_df.loc[\n",
    "    (score_no_repeats_alignment_df[\"qstamp\"] >= 450) & (score_no_repeats_alignment_df[\"qstamp\"] <= 550),\n",
    "    \"measure\"\n",
    "]\n",
    "print(f\"Measure range: {measure_range.min()}-{measure_range.max()}\")\n",
    "# The high tempos around the end repeat barline are because one of the \n",
    "# two voltas is not played\n",
    "# In this region there is also a dip in the tempos of the RNS recording \n",
    "# because the repeat is played\n",
    "# To inspect which of the two is played, we would need to recreate the \n",
    "# score without repeats, which we will not do here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Aligning Hauptstimme annotations to audio:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "The aligned annotations were saved to 'demo_files/Beethoven_Op.36_1_annotations_aligned.csv'.\n"
     ]
    }
   ],
   "source": [
    "# Align the Hauptstimme annotations to the audio\n",
    "aligned_annotations_df = align_hauptstimme_annotations(\n",
    "    score_alignment, score_annotations, demo_dir\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conversion for TiLiA beat timeline:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "The measure timestamps were saved to 'demo_files/RNS_measure_tstamps.csv'.\n"
     ]
    }
   ],
   "source": [
    "# Obtain a file containing timestamps for the start of each measure\n",
    "# This can be imported into a TiLiA beat timeline\n",
    "measure_tstamps = alignment_table_to_measure_timestamps(\n",
    "    score_alignment, demo_audio_id, demo_dir\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison of Hauptstimme annotations and video annotations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get aligned Hauptstimme annotations\n",
    "aligned_annotations = f\"{demo_dir}/{score_mscz.stem}_annotations_aligned.csv\"\n",
    "aligned_annotations_df = pd.read_csv(aligned_annotations)\n",
    "score_tstamp_col = f\"{demo_audio_id}_tstamp\"\n",
    "score_annotation_col = \"instrument\"\n",
    "\n",
    "# Get video annotations\n",
    "video_annotations = f\"{demo_dir}/{demo_audio_id}_{score_mscz.stem}.csv\"\n",
    "video_annotations_df = pd.read_csv(video_annotations)\n",
    "video_tstamp_col = \"scene_start\"\n",
    "video_annotation_col = \"focal_instrument\"\n",
    "\n",
    "# Declare what to round each timestamp to\n",
    "round_to = 0.25\n",
    "# Declare the start and end timestamps of the video\n",
    "start_tstamp = (start_time.hour*60 + start_time.minute) * 60 + start_time.second\n",
    "end_tstamp = (end_time.hour*60 + end_time.minute) * 60 + end_time.second\n",
    "# Declare the tolerance when comparing timestamps\n",
    "tau = 4     # Tolerance of 1 second"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the video annotations to a vector indicating the annotation \n",
    "# value every 0.25 seconds\n",
    "video_annotations_df[video_annotation_col] = get_default_instrument_names(\n",
    "    video_annotations_df[video_annotation_col]\n",
    ")\n",
    "video_annotations_vec = get_annotations_vec(\n",
    "    video_annotations_df, video_tstamp_col, video_annotation_col, round_to, start_tstamp, end_tstamp\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare the instruments:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Match percentage: 17.97442101624611\n",
      "Partial match percentage: 6.809540269616315\n",
      "No match percentage: 45.69650881437954\n",
      "Can't match percentage: 29.519529899758034\n"
     ]
    }
   ],
   "source": [
    "haupt_video_comparison(aligned_annotations_df, score_summary_df, video_annotations_vec, score_tstamp_col, round_to, start_tstamp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare the timestamps:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get vectors for the annotation segmentation points\n",
    "haupt_seg_pts = aligned_annotations_df[score_tstamp_col].to_list()\n",
    "haupt_seg_pts_vec = get_seg_pts_vec(haupt_seg_pts, round_to, end_tstamp)\n",
    "\n",
    "video_seg_pts = video_annotations_df[video_tstamp_col].to_list()\n",
    "video_seg_pts_vec = get_seg_pts_vec(\n",
    "    video_seg_pts, round_to, end_tstamp\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hauptstimme points compared to video points:\n",
      "P = 0.853;  R = 0.462;  F = 0.599\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 800x300 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 303,
       "width": 811
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "P, R, F, _, _, _, _, _ = evaluate_seg_pts(\n",
    "    haupt_seg_pts_vec, video_seg_pts_vec, tau\n",
    ")\n",
    "print(\"Hauptstimme points compared to video points:\")\n",
    "print(\"P = %0.3f;  R = %0.3f;  F = %0.3f\" % (P, R, F))\n",
    "fig, ax = plot_seg_pts_eval(\n",
    "    haupt_seg_pts_vec, video_seg_pts_vec, tau, round_to, other_seg_pts=\"Video\"\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "imp_env",
   "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": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}