Plot Filter Bank
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@@ -24,10 +24,11 @@
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## Plotting
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| Name | Description |
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|------------------|--------------------------------------------|
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| Plot Waveform | Plots the waveform of an `AUDIO` object. |
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| Plot Spectrogram | Plots the spectrogram of a `SPECT` object. |
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| Name | Description |
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|----------------------------|--------------------------------------------|
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| Plot Waveform | Plots the waveform of an `AUDIO` object. |
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| Plot Spectrogram | Plots the spectrogram of a `SPECT` object. |
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| Plot Filter Bank | Plots the `FILTER_BANK` object. |
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## Spectrogram
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+3
-1
@@ -2,7 +2,7 @@
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from .fb_nodes import MelScaleFilterBank
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from .io_nodes import LoadAudio
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from .plot_nodes import (PlotWaveform, PlotSpectrogram)
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from .plot_nodes import (PlotWaveform, PlotSpectrogram, PlotFilterBank)
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from .spect_nodes import (
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Spectrogram, InverseSpectrogram,
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GriffinLim,
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@@ -17,6 +17,7 @@ NODE_CLASS_MAPPINGS = {
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# Plotting
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"ComfyAudio.PlotWaveform": PlotWaveform,
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"ComfyAudio.PlotSpectrogram": PlotSpectrogram,
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"ComfyAudio.PlotFilterBank": PlotFilterBank,
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# Spectrogram
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"ComfyAudio.Spectrogram": Spectrogram,
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"ComfyAudio.InverseSpectrogram": InverseSpectrogram,
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@@ -32,6 +33,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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# Plotting
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"ComfyAudio.PlotWaveform": "Plot Waveform",
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"ComfyAudio.PlotSpectrogram": "Plot Spectrogram",
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"ComfyAudio.PlotFilterBank": "Plot Filter Bank",
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# Spectrogram
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"ComfyAudio.Spectrogram": "Spectrogram",
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"ComfyAudio.InverseSpectrogram": "Inverse Spectrogram",
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@@ -87,3 +87,26 @@ class PlotSpectrogram:
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figure.suptitle(title)
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figure.tight_layout()
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return (plot2image(), )
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class PlotFilterBank:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {"fbank": ("FILTER_BANK",)},
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"optional": {"title": ("STRING", {"default": "Filter Bank"}),
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"xlabel": ("STRING", {"default": "filter bin"}),
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"ylabel": ("STRING", {"default": "frequency bin"}),}}
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CATEGORY = "AudioProcessing/plot"
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RETURN_TYPES = ("IMAGE", )
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FUNCTION = "plot"
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def plot(self, fbank, title="Filter Bank", xlabel="filter bin", ylabel="frequency bin"):
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figure, axes = plt.subplots(1, 1)
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axes.imshow(fbank['fbank'], origin="lower",aspect="auto", interpolation="nearest")
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axes.set_ylabel(ylabel)
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axes.set_xlabel(xlabel)
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axes.set_title(title)
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figure.tight_layout()
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return (plot2image(), )
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