mirror of
https://github.com/alicevision/Meshroom.git
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c498f48e1e
Use CamelCase for all labels, always end descriptions with periods, and replace the mixed use of single and double quotes with double quotes only.
101 lines
3.5 KiB
Python
101 lines
3.5 KiB
Python
__version__ = "1.0"
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from meshroom.core import desc
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class TracksBuilding(desc.AVCommandLineNode):
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commandLine = 'aliceVision_tracksBuilding {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Sparse Reconstruction'
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documentation = '''
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It fuses all feature matches between image pairs into tracks. Each track represents a candidate point in space, visible from multiple cameras.
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'''
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inputs = [
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desc.File(
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name="input",
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label="SfMData",
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description="Input SfMData file.",
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value="",
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uid=[0],
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),
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desc.ListAttribute(
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elementDesc=desc.File(
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name="featuresFolder",
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label="Features Folder",
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description="Folder containing some extracted features and descriptors.",
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value="",
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uid=[0],
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),
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name="featuresFolders",
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label="Features Folders",
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description="Folder(s) containing the extracted features and descriptors."
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),
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desc.ListAttribute(
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elementDesc=desc.File(
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name="matchesFolder",
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label="Matches Folder",
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description="Folder containing some matches.",
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value="",
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uid=[0],
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),
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name="matchesFolders",
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label="Matches Folders",
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description="Folder(s) in which computed matches are stored."
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),
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desc.ChoiceParam(
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name="describerTypes",
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label="Describer Types",
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description="Describer types used to describe an image.",
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value=["dspsift"],
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values=["sift", "sift_float", "sift_upright", "dspsift", "akaze", "akaze_liop", "akaze_mldb", "cctag3", "cctag4", "sift_ocv", "akaze_ocv", "tag16h5"],
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exclusive=False,
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uid=[0],
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joinChar=",",
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),
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desc.IntParam(
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name="minInputTrackLength",
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label="Min Input Track Length",
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description="Minimum track length.",
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value=2,
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range=(2, 10, 1),
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uid=[0],
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),
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desc.BoolParam(
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name="useOnlyMatchesFromInputFolder",
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label="Use Only Matches From Input Folder",
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description="Use only matches from the input 'matchesFolder' parameter.\n"
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"Matches folders previously added to the SfMData file will be ignored.",
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value=False,
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uid=[],
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advanced=True,
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),
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desc.BoolParam(
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name="filterTrackForks",
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label="Filter Track Forks",
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description="Enable/Disable the track forks removal. A track contains a fork when incoherent matches\n"
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"lead to multiple features in the same image for a single track.",
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value=False,
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uid=[0],
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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="output",
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label="Tracks",
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description="Path to the output tracks file.",
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value=desc.Node.internalFolder + "tracksFile.json",
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uid=[],
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),
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]
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