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67 lines
2 KiB
Python
67 lines
2 KiB
Python
__version__ = "1.0"
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from meshroom.core import desc
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class CheckerboardDetection(desc.AVCommandLineNode):
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commandLine = 'aliceVision_checkerboardDetection {allParams}'
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size = desc.DynamicNodeSize('input')
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parallelization = desc.Parallelization(blockSize=5)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Other'
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documentation = '''
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Detect checkerboard structures in a set of images.
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The detection method also supports nested calibration grids.
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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='Input',
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description='SfMData File. Viewpoints must correspond to lens calibration grids.',
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value='',
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uid=[0],
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),
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desc.BoolParam(
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name='useNestedGrids',
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label='Nested calibration grid',
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description='Images contain nested calibration grids. These grids must be centered on the image center.',
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value=False,
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uid=[0],
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),
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desc.BoolParam(
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name='doubleSize',
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label='Double Size',
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description='Double the image size prior to processing',
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value=False,
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uid=[0],
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),
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desc.BoolParam(
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name='exportDebugImages',
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label='Export Debug Images',
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description='Export Debug Images',
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value=False,
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uid=[0],
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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='Folder',
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description='',
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value=desc.Node.internalFolder,
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uid=[],
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),
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desc.File(
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name='checkerLines',
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enabled= lambda node: node.exportDebugImages.value,
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label='Checker Lines',
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description='Debug Images.',
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semantic='image',
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value=desc.Node.internalFolder + '<VIEW_ID>.png',
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group='', # do not export on the command line
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uid=[],
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),
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]
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