Upload 4 files

Monster-MIDI-Dataset-main.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65b6f00e480627c897b7f93d26a5971cbedfd3613a2c3ebe867821cc5e73007d
+size 5810003

Monster_MIDI_Dataset_GPU_Search_and_Filter.ipynb

@@ -191,7 +191,7 @@
         "\n",
         "print('=' * 70)\n",
         "print('Unzipping Monster MIDI Dataset...Please wait...')\n",
-        "!unzip 'Monster-MIDI-Dataset-Ver-1-0-CC-BY-NC-SA.zip'\n",
+        "!unzip 'Monster-MIDI-Dataset-Ver-1-0-CC-BY-NC-SA.zip' > /dev/null\n",
         "print('=' * 70)\n",
         "\n",
         "print('Done! Enjoy! :)')\n",
@@ -275,7 +275,7 @@
         "random.shuffle(sigs_data)\n",
         "\n",
         "signatures_file_names = []\n",
-        "sigs_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS)+256) for i in range(len(sigs_data))]\n",
+        "sigs_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS_SORTED)+256) for i in range(len(sigs_data))]\n",
         "\n",
         "idx = 0\n",
         "for s in tqdm(sigs_data):\n",
@@ -392,13 +392,19 @@
         "\n",
         "          #=======================================================\n",
         "\n",
-        "          raw_score = TMIDIX.midi2single_track_ms_score(open(f, 'rb').read())\n",
-        "          escore = TMIDIX.advanced_score_processor(raw_score, return_score_analysis=False, return_enhanced_score_notes=True)[0]\n",
+        "          raw_score = TMIDIX.midi2single_track_ms_score(f)\n",
+        "          escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]\n",
         "\n",
         "          for e in escore:\n",
         "            e[1] = int(e[1] / 16)\n",
         "            e[2] = int(e[2] / 16)\n",
         "\n",
+        "          # Sorting by patch, pitch, then by start-time\n",
+        "\n",
+        "          escore.sort(key=lambda x: x[6])\n",
+        "          escore.sort(key=lambda x: x[4], reverse=True)\n",
+        "          escore.sort(key=lambda x: x[1])\n",
+        "\n",
         "          drums_offset = len(TMIDIX.ALL_CHORDS_SORTED) + 128\n",
         "\n",
         "          src_sigs = []\n",
@@ -446,7 +452,7 @@
         "\n",
         "            fsig = [list(v) for v in sig_p.items()]\n",
         "\n",
-        "            src_sig_mat = [0] * (len(TMIDIX.ALL_CHORDS)+256)\n",
+        "            src_sig_mat = [0] * (len(TMIDIX.ALL_CHORDS_SORTED)+256)\n",
         "\n",
         "            for s in fsig:\n",
         "\n",
@@ -672,7 +678,7 @@
         "\n",
         "  kilo_chords_file_names = []\n",
         "\n",
-        "  kilo_chords_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS)+128) for i in range(len(kilo_chords))]\n",
+        "  kilo_chords_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS_SORTED)+128) for i in range(len(kilo_chords))]\n",
         "\n",
         "  idx = 0\n",
         "  for kc in tqdm(kilo_chords):\n",
@@ -781,13 +787,19 @@
         "\n",
         "          #=======================================================\n",
         "\n",
-        "          raw_score = TMIDIX.midi2single_track_ms_score(open(f, 'rb').read())\n",
-        "          escore = TMIDIX.advanced_score_processor(raw_score, return_score_analysis=False, return_enhanced_score_notes=True)[0]\n",
+        "          raw_score = TMIDIX.midi2single_track_ms_score(f)\n",
+        "          escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]\n",
         "\n",
         "          for e in escore:\n",
         "            e[1] = int(e[1] / 16)\n",
         "            e[2] = int(e[2] / 16)\n",
         "\n",
+        "          # Sorting by patch, pitch, then by start-time\n",
+        "\n",
+        "          escore.sort(key=lambda x: x[6])\n",
+        "          escore.sort(key=lambda x: x[4], reverse=True)\n",
+        "          escore.sort(key=lambda x: x[1])\n",
+        "\n",
         "          src_kilo_chords = []\n",
         "\n",
         "          for i in range(-6, 6):\n",
@@ -827,7 +839,7 @@
         "\n",
         "            else:\n",
         "\n",
-        "              kilo_chord_matrix = [0] * (len(TMIDIX.ALL_CHORDS)+128)\n",
+        "              kilo_chord_matrix = [0] * (len(TMIDIX.ALL_CHORDS_SORTED)+128)\n",
         "\n",
         "              for c in kilo_chord:\n",
         "                kilo_chord_matrix[c] += 1\n",

fluidsynth-master.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d1af8f1d50572e1e161ab1af5f511c22e7f916df8633756ef34fa3abc14a4db
-size 1958466
+oid sha256:f16ae34ae87eeb54fef8b8c62579ef39c0b5f3b7094813bd9602812f817f31be
+size 1965503

monster_midi_dataset_gpu_search_and_filter.py

@@ -108,7 +108,7 @@ print('=' * 70)
 
 print('=' * 70)
 print('Unzipping Monster MIDI Dataset...Please wait...')
-!unzip 'Monster-MIDI-Dataset-Ver-1-0-CC-BY-NC-SA.zip'
+!unzip 'Monster-MIDI-Dataset-Ver-1-0-CC-BY-NC-SA.zip' > /dev/null
 print('=' * 70)
 
 print('Done! Enjoy! :)')
@@ -158,7 +158,7 @@ print('=' * 70)
 random.shuffle(sigs_data)
 
 signatures_file_names = []
-sigs_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS)+256) for i in range(len(sigs_data))]
+sigs_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS_SORTED)+256) for i in range(len(sigs_data))]
 
 idx = 0
 for s in tqdm(sigs_data):
@@ -265,13 +265,19 @@ if filez:
 
           #=======================================================
 
-          raw_score = TMIDIX.midi2single_track_ms_score(open(f, 'rb').read())
-          escore = TMIDIX.advanced_score_processor(raw_score, return_score_analysis=False, return_enhanced_score_notes=True)[0]
+          raw_score = TMIDIX.midi2single_track_ms_score(f)
+          escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
 
           for e in escore:
             e[1] = int(e[1] / 16)
             e[2] = int(e[2] / 16)
 
+          # Sorting by patch, pitch, then by start-time
+
+          escore.sort(key=lambda x: x[6])
+          escore.sort(key=lambda x: x[4], reverse=True)
+          escore.sort(key=lambda x: x[1])
+
           drums_offset = len(TMIDIX.ALL_CHORDS_SORTED) + 128
 
           src_sigs = []
@@ -319,7 +325,7 @@ if filez:
 
             fsig = [list(v) for v in sig_p.items()]
 
-            src_sig_mat = [0] * (len(TMIDIX.ALL_CHORDS)+256)
+            src_sig_mat = [0] * (len(TMIDIX.ALL_CHORDS_SORTED)+256)
 
             for s in fsig:
 
@@ -528,7 +534,7 @@ else:
 
   kilo_chords_file_names = []
 
-  kilo_chords_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS)+128) for i in range(len(kilo_chords))]
+  kilo_chords_matrixes = [ [0]*(len(TMIDIX.ALL_CHORDS_SORTED)+128) for i in range(len(kilo_chords))]
 
   idx = 0
   for kc in tqdm(kilo_chords):
@@ -627,13 +633,19 @@ if filez:
 
           #=======================================================
 
-          raw_score = TMIDIX.midi2single_track_ms_score(open(f, 'rb').read())
-          escore = TMIDIX.advanced_score_processor(raw_score, return_score_analysis=False, return_enhanced_score_notes=True)[0]
+          raw_score = TMIDIX.midi2single_track_ms_score(f)
+          escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
 
           for e in escore:
             e[1] = int(e[1] / 16)
             e[2] = int(e[2] / 16)
 
+          # Sorting by patch, pitch, then by start-time
+
+          escore.sort(key=lambda x: x[6])
+          escore.sort(key=lambda x: x[4], reverse=True)
+          escore.sort(key=lambda x: x[1])
+
           src_kilo_chords = []
 
           for i in range(-6, 6):
@@ -673,7 +685,7 @@ if filez:
 
             else:
 
-              kilo_chord_matrix = [0] * (len(TMIDIX.ALL_CHORDS)+128)
+              kilo_chord_matrix = [0] * (len(TMIDIX.ALL_CHORDS_SORTED)+128)
 
               for c in kilo_chord:
                 kilo_chord_matrix[c] += 1