notebooks/data_encoding/MusicItem-Transforms.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.chdir('../../')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from musicautobot.numpy_encode import *\n",
    "from musicautobot.config import *\n",
    "from musicautobot.music_transformer import *\n",
    "from musicautobot.multitask_transformer import *\n",
    "from musicautobot.utils import midifile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MusicItem Basics\n",
    "\n",
    "MusicItem is simpe interface to load music files and manipulate tensors. It supports music playback and simple transformations\n",
    "\n",
    "The [Midi2Tensor](Midi2Tensor.ipynb) notebook provides a more in depth guide to how the encoding works."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading MusicItem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Example File\n",
    "midi_file = Path('data/midi/notebook_examples/single_bar_example.mid')\n",
    "\n",
    "# Vocab defines how the item is represented as a tensor\n",
    "vocab = MusicVocab.create()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load MusicItem\n",
    "item = MusicItem.from_file(midi_file, vocab);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 150,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show score:\n",
    "item.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <div id='midiPlayerDiv535'></div>\n",
       "                <link rel=\"stylesheet\" href=\"//cuthbertLab.github.io/music21j/css/m21.css\"\n",
       "                    type=\"text/css\" />\n",
       "                <script>\n",
       "                require.config({\n",
       "                    paths: {'music21': '//cuthbertLab.github.io/music21j/src/music21'}\n",
       "                });\n",
       "                require(['music21'], function() {\n",
       "                               mp = new music21.miditools.MidiPlayer();\n",
       "                               mp.addPlayer('#midiPlayerDiv535');\n",
       "                               mp.base64Load('data:audio/midi;base64,TVRoZAAAAAYAAQACBABNVHJrAAAAagD/AwVQaWFubwDAAADgAEAAwAAAwAAA/1EDB6EgAJBIWoQAgEgAAJBHWoQAgEcAAJBHWoQAgEcAAJBFWoQAgEUAAJBFWoQAgEUAAJBDWogAgEMAAJBAWoIAgEAAAJA+WoIAgD4AiAD/LwBNVHJrAAAANAD/AwVQaWFubwDAAADgAEAAwAAAwAAAkC1aAJAwWgCQNFqgAIAtAACAMAAAgDQAiAD/LwA=');\n",
       "                        });\n",
       "                </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Play file:\n",
    "item.play()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([  0,   1,  81, 139,  61, 153,  57, 153,  54, 153,   8, 139,  80, 139,\n",
       "          8, 139,  80, 139,   8, 139,  78, 139,   8, 139,  78, 139,   8, 139,\n",
       "         76, 141,   8, 141,  73, 138,   8, 138,  71, 138], device='cuda:0')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tensor representation:\n",
    "item.to_tensor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'xxbos xxpad n72 d2 n52 d16 n48 d16 n45 d16 xxsep d2 n71 d2 xxsep d2 n71 d2 xxsep d2 n69 d2 xxsep d2 n69 d2 xxsep d2 n67 d4 xxsep d4 n64 d1 xxsep d1 n62 d1'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Text format:\n",
    "item.to_text()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0.0} <music21.stream.Part 0x7fdd4fd924a8>\n",
      "    {0.0} <music21.instrument.Piano Piano>\n",
      "    {0.0} <music21.note.Note C>\n",
      "    {0.0} <music21.chord.Chord A2 C3 E3>\n",
      "    {0.5} <music21.note.Note B>\n",
      "    {1.0} <music21.note.Note B>\n",
      "    {1.5} <music21.note.Note A>\n",
      "    {2.0} <music21.note.Note A>\n",
      "    {2.5} <music21.note.Note G>\n",
      "    {3.5} <music21.note.Note E>\n",
      "    {3.75} <music21.note.Note D>\n",
      "{0.0} <music21.tempo.MetronomeMark animato Quarter=120>\n",
      "{0.0} <music21.key.KeySignature of no sharps or flats>\n",
      "{0.0} <music21.meter.TimeSignature 4/4>\n"
     ]
    }
   ],
   "source": [
    "# Music21 Stream\n",
    "item.to_stream().show('text')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 80,
       "width": 323
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create Item from numpy array\n",
    "new_item = item.new(item.data)\n",
    "new_item.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transforms\n",
    "\n",
    "Some basic transformations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Transpose\n",
    "\n",
    "Useful for data augmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 79,
       "width": 345
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Transpose from key of C to key of G\n",
    "item_transpose = item.transpose(7)\n",
    "item_transpose.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 150,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "item.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Trim\n",
    "\n",
    "Create a short clip for predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 86,
       "width": 228
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Trim to first quarter note\n",
    "item.trim_to_beat(1).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Positioning\n",
    "\n",
    "Position = the timestep of each note.  \n",
    "Multitask training uses this positional information to help it predict the next note"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  2,  2,  2,  2,  4,  4,  4,  4,  6,  6,  6,  6,  8,  8,  8,  8,\n",
       "       10, 10, 10, 10, 14, 14, 14, 14, 15, 15])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item.position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('xxbos', 0),\n",
       " ('xxpad', 0),\n",
       " ('n72', 0),\n",
       " ('d2', 0),\n",
       " ('n52', 0),\n",
       " ('d16', 0),\n",
       " ('n48', 0),\n",
       " ('d16', 0),\n",
       " ('n45', 0),\n",
       " ('d16', 0),\n",
       " ('xxsep', 0),\n",
       " ('d2', 0),\n",
       " ('n71', 2),\n",
       " ('d2', 2),\n",
       " ('xxsep', 2),\n",
       " ('d2', 2),\n",
       " ('n71', 4),\n",
       " ('d2', 4),\n",
       " ('xxsep', 4),\n",
       " ('d2', 4),\n",
       " ('n69', 6),\n",
       " ('d2', 6),\n",
       " ('xxsep', 6),\n",
       " ('d2', 6),\n",
       " ('n69', 8),\n",
       " ('d2', 8),\n",
       " ('xxsep', 8),\n",
       " ('d2', 8),\n",
       " ('n67', 10),\n",
       " ('d4', 10),\n",
       " ('xxsep', 10),\n",
       " ('d4', 10),\n",
       " ('n64', 14),\n",
       " ('d1', 14),\n",
       " ('xxsep', 14),\n",
       " ('d1', 14),\n",
       " ('n62', 15),\n",
       " ('d1', 15)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx_str = item.to_text(sep=None)\n",
    "list(zip(idx_str, item.position))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MultitrackItem\n",
    "\n",
    "When converting from MIDI file MusicItem, we lose track (melody vs chords) information.\n",
    "We need this information for sequence to sequence training (MultitaskTransformer) - as we use the melody to predict chords and vice versa.\n",
    "\n",
    "MultitrackItem retains the track information. Which notes belong to chords/melody."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 150,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Original File\n",
    "file2stream(midi_file).show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 80,
       "width": 323
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# MusicItem does NOT separate chords with melody\n",
    "item.to_stream().show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 118,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Multitrack Item\n",
    "mt_item = MultitrackItem.from_file(midi_file, vocab)\n",
    "mt_item.to_stream().show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 49,
       "width": 314
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mt_item.melody.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 35,
       "width": 160
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mt_item.chords.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(musicautobot.music_transformer.transform.MusicItem,\n",
       " musicautobot.music_transformer.transform.MusicItem)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# MultitrackItem is basically a composition of 2 MusicItems\n",
    "type(mt_item.melody), type(mt_item.chords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<musicautobot.multitask_transformer.transform.MultitrackItem at 0x7fdd4f4a49e8>,\n",
       " <musicautobot.multitask_transformer.transform.MultitrackItem at 0x7fdd4f485a58>)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Same transforms work\n",
    "mt_item.transpose(4), mt_item.trim_to_beat(2)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}