deploy: aa9b319

_sources/separation/singing-voice-extraction.ipynb

@@ -119,7 +119,7 @@
     "separation = separation_model.separate(\n",
     "    input_data=input_mixture,\n",
     "    input_sr=sr,\n",
-    "    cluters=6,\n",
+    "    clusters=6,\n",
     "    scheduler=5,\n",
     ")"
    ]

melodic_analysis/exploring-raga.html

@@ -1432,14 +1432,14 @@ <h3>3.1 Predominant pitch extraction<a class="headerlink" href="#predominant-pit
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-30 15:15:06.283406: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcudart.so.11.0&#39;; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
-2023-11-30 15:15:06.283432: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-30 15:34:46.031810: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcudart.so.11.0&#39;; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
+2023-11-30 15:34:46.031841: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-30 15:15:07.488423: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcuda.so.1&#39;; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
-2023-11-30 15:15:07.488449: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
-2023-11-30 15:15:07.488474: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (fv-az1019-885): /proc/driver/nvidia/version does not exist
-2023-11-30 15:15:07.488645: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-30 15:34:47.216661: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcuda.so.1&#39;; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
+2023-11-30 15:34:47.216685: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
+2023-11-30 15:34:47.216704: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (fv-az1016-860): /proc/driver/nvidia/version does not exist
+2023-11-30 15:34:47.216877: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
 </pre></div>
 </div>
@@ -1727,7 +1727,22 @@ <h3>3.2 Visualising predominant pitch<a class="headerlink" href="#visualising-pr
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{73.4133009992652: &#39;P&#39;,
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{87.30361988416256: &#39;N2&#39;,
+ 174.60723976832512: &#39;N2&#39;,
+ 349.21447953665023: &#39;N2&#39;,
+ 698.4289590733005: &#39;N2&#39;,
+ 1396.857918146601: &#39;N2&#39;,
+ 82.40364421278775: &#39;D2&#39;,
+ 164.8072884255755: &#39;D2&#39;,
+ 329.614576851151: &#39;D2&#39;,
+ 659.229153702302: &#39;D2&#39;,
+ 1318.458307404604: &#39;D2&#39;,
+ 48.9975: &#39;S&#39;,
+ 97.995: &#39;S&#39;,
+ 195.99: &#39;S&#39;,
+ 391.98: &#39;S&#39;,
+ 783.96: &#39;S&#39;,
+ 73.4133009992652: &#39;P&#39;,
  146.8266019985304: &#39;P&#39;,
  293.6532039970608: &#39;P&#39;,
  587.3064079941216: &#39;P&#39;,
@@ -1742,26 +1757,11 @@ <h3>3.2 Visualising predominant pitch<a class="headerlink" href="#visualising-pr
  233.0727024693833: &#39;G2&#39;,
  466.1454049387666: &#39;G2&#39;,
  932.2908098775332: &#39;G2&#39;,
- 87.30361988416256: &#39;N2&#39;,
- 174.60723976832512: &#39;N2&#39;,
- 349.21447953665023: &#39;N2&#39;,
- 698.4289590733005: &#39;N2&#39;,
- 1396.857918146601: &#39;N2&#39;,
- 48.9975: &#39;S&#39;,
- 97.995: &#39;S&#39;,
- 195.99: &#39;S&#39;,
- 391.98: &#39;S&#39;,
- 783.96: &#39;S&#39;,
  54.997834212038505: &#39;R2&#39;,
  109.99566842407701: &#39;R2&#39;,
  219.99133684815402: &#39;R2&#39;,
  439.98267369630804: &#39;R2&#39;,
- 879.965347392616: &#39;R2&#39;,
- 82.40364421278775: &#39;D2&#39;,
- 164.8072884255755: &#39;D2&#39;,
- 329.614576851151: &#39;D2&#39;,
- 659.229153702302: &#39;D2&#39;,
- 1318.458307404604: &#39;D2&#39;}
+ 879.965347392616: &#39;R2&#39;}
 </pre></div>
 </div>
 </div>
@@ -2200,7 +2200,7 @@ <h4>Fixing tonic errors in folded plots<a class="headerlink" href="#fixing-tonic
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f32a02c8f70&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f4894ebff10&gt;]
 </pre></div>
 </div>
 <img alt="../_images/exploring-raga_110_1.png" src="../_images/exploring-raga_110_1.png" />
@@ -2317,7 +2317,7 @@ <h4>Fixing tonic errors in folded plots<a class="headerlink" href="#fixing-tonic
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f32a0240910&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f4894eb8e80&gt;]
 </pre></div>
 </div>
 <img alt="../_images/exploring-raga_120_1.png" src="../_images/exploring-raga_120_1.png" />
@@ -2666,8 +2666,8 @@ <h3>3.5 Pitch density across rāga<a class="headerlink" href="#pitch-density-acr
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Rītigauḷa: {&#39;P&#39;, &#39;M1&#39;, &#39;G2&#39;, &#39;N2&#39;, &#39;S&#39;, &#39;R2&#39;, &#39;D2&#39;}
-Bhairavi: {&#39;P&#39;, &#39;M1&#39;, &#39;G2&#39;, &#39;N2&#39;, &#39;S&#39;, &#39;R2&#39;, &#39;D1&#39;, &#39;D2&#39;}
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Rītigauḷa: {&#39;N2&#39;, &#39;D2&#39;, &#39;S&#39;, &#39;P&#39;, &#39;M1&#39;, &#39;G2&#39;, &#39;R2&#39;}
+Bhairavi: {&#39;N2&#39;, &#39;D2&#39;, &#39;D1&#39;, &#39;S&#39;, &#39;P&#39;, &#39;M1&#39;, &#39;G2&#39;, &#39;R2&#39;}
 </pre></div>
 </div>
 </div>

melodic_analysis/raga-recognition.html

@@ -623,22 +623,16 @@ <h2> Contents </h2>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/20.4M [00:00&lt;?, ?B/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 1.05M/20.4M [00:00&lt;00:02, 9.34MB/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 23%|██▎       | 4.72M/20.4M [00:00&lt;00:00, 20.5MB/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 23%|██▎       | 4.72M/20.4M [00:00&lt;00:01, 11.0MB/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 85%|████████▍ | 17.3M/20.4M [00:00&lt;00:00, 42.4MB/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 59%|█████▉    | 12.1M/20.4M [00:00&lt;00:00, 14.8MB/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 20.4M/20.4M [00:00&lt;00:00, 44.6MB/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 85%|████████▍ | 17.3M/20.4M [00:01&lt;00:00, 12.0MB/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 20.4M/20.4M [00:01&lt;00:00, 14.4MB/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[2023-11-30 15:16:38,790] WARNING [compiam.melody.raga_recognition.deepsrgm.download_model:155] Files downloaded and extracted successfully.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[2023-11-30 15:36:15,923] WARNING [compiam.melody.raga_recognition.deepsrgm.download_model:155] Files downloaded and extracted successfully.
 </pre></div>
 </div>
 </div>