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[hdri] workaround for HDRI pipeline on tractor
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2 changed files with 16 additions and 1 deletions
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@ -135,7 +135,9 @@ def hdriPipeline(graph):
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imagePairsList=imageMatching.output)
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imagePairsList=imageMatching.output)
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panoramaExternalInfo = graph.addNewNode('PanoramaExternalInfo',
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panoramaExternalInfo = graph.addNewNode('PanoramaExternalInfo',
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input=ldr2hdr.outSfMDataFilename)
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input=ldr2hdr.outSfMDataFilename,
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matchesFolders=[featureMatching.output] # Workaround for tractor submission with a fake dependency
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)
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panoramaEstimation = graph.addNewNode('PanoramaEstimation',
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panoramaEstimation = graph.addNewNode('PanoramaEstimation',
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input=panoramaExternalInfo.outSfMDataFilename,
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input=panoramaExternalInfo.outSfMDataFilename,
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@ -25,6 +25,19 @@ class PanoramaExternalInfo(desc.CommandLineNode):
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value='',
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value='',
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uid=[0],
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uid=[0],
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),
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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="",
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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. (WORKAROUND for valid Tractor graph submission)",
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group='forDependencyOnly',
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),
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desc.ChoiceParam(
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desc.ChoiceParam(
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name='verboseLevel',
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name='verboseLevel',
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label='Verbose Level',
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label='Verbose Level',
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