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https://github.com/alicevision/Meshroom.git
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30ea556c26
Group the keyframe selection parameters together depending on the method (regular or smart) they belong to. Parameters for a method are only shown if that method is the currently selected one.
216 lines
9.4 KiB
Python
216 lines
9.4 KiB
Python
__version__ = "2.0"
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import os
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from meshroom.core import desc
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class KeyframeSelection(desc.AVCommandLineNode):
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commandLine = 'aliceVision_keyframeSelection {allParams}'
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category = 'Utils'
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documentation = '''
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Allows to extract keyframes from a video and insert metadata.
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It can extract frames from a synchronized multi-cameras rig.
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You can extract frames at regular interval by configuring only the min/maxFrameStep.
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'''
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inputs = [
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desc.ListAttribute(
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elementDesc=desc.File(
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name="mediaPath",
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label="Media Path",
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description="Media path.",
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value="",
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uid=[0],
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),
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name="mediaPaths",
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label="Media Paths",
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description="Input video files or image sequence directories.",
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),
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desc.ListAttribute(
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elementDesc=desc.File(
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name="brand",
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label="Brand",
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description="Camera brand.",
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value="",
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uid=[0],
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),
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name="brands",
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label="Brands",
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description="Camera brands."
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),
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desc.ListAttribute(
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elementDesc=desc.File(
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name="model",
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label="Model",
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description="Camera model.",
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value="",
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uid=[0],
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),
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name="models",
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label="Models",
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description="Camera models."
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),
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desc.ListAttribute(
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elementDesc=desc.FloatParam(
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name="mmFocal",
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label="mmFocal",
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description="Focal in mm (will be used if not 0).",
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value=0.0,
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range=(0.0, 500.0, 1.0),
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uid=[0],
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),
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name="mmFocals",
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label="mmFocals",
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description="Focals in mm (will be used if not 0)."
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),
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desc.File(
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name="sensorDbPath",
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label="Sensor Db Path",
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description="Camera sensor width database path.",
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value="${ALICEVISION_SENSOR_DB}",
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uid=[0],
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),
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desc.GroupAttribute(
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name="selectionMethod",
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label="Keyframe Selection Method",
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description="Selection the regular or smart method for the keyframe selection.\n"
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"- With the regular method, keyframes are selected regularly over the sequence with respect to the set parameters.\n"
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"- With the smart method, keyframes are selected based on their sharpness and optical flow scores.",
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group=None, # skip group from command line
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groupDesc=[
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desc.BoolParam(
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name='useSmartSelection',
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label='Use Smart Keyframe Selection',
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description="Use the smart keyframe selection.",
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value=True,
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uid=[0]
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),
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desc.GroupAttribute(
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name="regularSelection",
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label="Regular Keyframe Selection",
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description="Parameters for the regular keyframe selection.\nKeyframes are selected regularly over the sequence with respect to the set parameters.",
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group=None, # skip group from command line
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enabled=lambda node: node.selectionMethod.useSmartSelection.value is False,
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groupDesc=[
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desc.IntParam(
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name="minFrameStep",
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label="Min Frame Step",
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description="Minimum number of frames between two keyframes.",
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value=12,
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range=(1, 1000, 1),
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uid=[0],
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enabled=lambda node: node.regularSelection.enabled
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),
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desc.IntParam(
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name="maxFrameStep",
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label="Max Frame Step",
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description="Maximum number of frames between two keyframes. Ignored if equal to 0.",
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value=0,
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range=(0, 1000, 1),
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uid=[0],
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enabled=lambda node: node.regularSelection.enabled
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),
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desc.IntParam(
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name="maxNbOutFrames",
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label="Max Nb Output Frames",
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description="Maximum number of output frames (0 = no limit).\n"
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"'minFrameStep' and 'maxFrameStep' will always be respected, so combining them with this parameter\n"
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"might cause the selection to stop before reaching the end of the input sequence(s).",
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value=0,
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range=(0, 10000, 1),
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uid=[0],
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enabled=lambda node: node.regularSelection.enabled
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),
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],
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),
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desc.GroupAttribute(
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name="smartSelection",
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label="Smart Keyframe Selection",
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description="Parameters for the smart keyframe selection.\nKeyframes are selected based on their sharpness and optical flow scores.",
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group=None, # skip group from command line
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enabled=lambda node: node.selectionMethod.useSmartSelection.value,
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groupDesc=[
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desc.FloatParam(
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name="pxDisplacement",
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label="Pixel Displacement",
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description="The percentage of pixels in the frame that need to have moved since the last keyframe to be considered for the selection",
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value=3.0,
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range=(0.0, 100.0, 1.0),
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uid=[0],
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enabled=lambda node: node.smartSelection.enabled
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),
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desc.IntParam(
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name="minNbOutFrames",
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label="Min Nb Output Frames",
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description="Minimum number of frames selected to be keyframes.",
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value=10,
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range=(1, 100, 1),
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uid=[0],
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enabled=lambda node: node.smartSelection.enabled
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),
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desc.IntParam(
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name="maxNbOutFrames",
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label="Max Nb Output Frames",
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description="Maximum number of frames selected to be keyframes.",
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value=2000,
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range=(1, 10000, 1),
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uid=[0],
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enabled=lambda node: node.smartSelection.enabled
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),
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desc.IntParam(
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name="rescaledWidth",
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label="Rescaled Frame's Width",
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description="Width, in pixels, of the frame after a rescale. Aspect ratio will be preserved. No rescale will be performed if equal to 0.",
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value=720,
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range=(0, 4000, 1),
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uid=[0],
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enabled=lambda node: node.smartSelection.enabled,
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advanced=True
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),
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desc.IntParam(
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name="sharpnessWindowSize",
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label="Sharpness Window Size",
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description="The size, in pixels, of the sliding window used to evaluate a frame's sharpness.",
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value=200,
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range=(1, 10000, 1),
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uid=[0],
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enabled=lambda node: node.smartSelection.enabled,
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advanced=True
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),
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desc.IntParam(
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name="flowCellSize",
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label="Optical Flow Cell Size",
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description="The size, in pixels, of the cells within a frame in which the optical flow scores is evaluated.",
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value=90,
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range=(10, 2000, 1),
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uid=[0],
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enabled=lambda node: node.smartSelection.enabled,
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advanced=True
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),
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]
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)
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]
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),
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desc.ChoiceParam(
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name="verboseLevel",
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label="Verbose Level",
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description="Verbosity level (fatal, error, warning, info, debug, trace).",
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value="info",
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values=["fatal", "error", "warning", "info", "debug", "trace"],
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exclusive=True,
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uid=[],
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),
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]
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outputs = [
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desc.File(
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name="outputFolder",
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label="Folder",
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description="Output keyframes folder for extracted frames.",
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value=desc.Node.internalFolder,
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uid=[],
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),
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]
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