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77 lines
No EOL
2.9 KiB
Python
77 lines
No EOL
2.9 KiB
Python
__version__ = "2.0"
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from meshroom.core import desc
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class LdrToHdrCalibration(desc.CommandLineNode):
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commandLine = 'aliceVision_LdrToHdrCalibration {allParams}'
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size = desc.DynamicNodeSize('input')
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#parallelization = desc.Parallelization(blockSize=40)
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#commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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documentation = '''
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Calibrate LDR to HDR response curve from samples
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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.',
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value='',
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uid=[0],
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),
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desc.File(
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name='samples',
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label='Samples folder',
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description='Samples folder',
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value=desc.Node.internalFolder,
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uid=[0],
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),
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desc.ChoiceParam(
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name='calibrationMethod',
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label='Calibration Method',
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description="Method used for camera calibration \n"
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" * Linear: Disable the calibration and assumes a linear Camera Response Function. If images are encoded in a known colorspace (like sRGB for JPEG), the images will be automatically converted to linear. \n"
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" * Debevec: This is the standard method for HDR calibration. \n"
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" * Grossberg: Based on learned database of cameras, it allows to reduce the CRF to few parameters while keeping all the precision. \n"
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" * Laguerre: Simple but robust method estimating the minimal number of parameters. \n"
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" * Robertson: First method for HDR calibration in the literature. \n",
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values=['linear', 'debevec', 'grossberg', 'laguerre'],
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value='debevec',
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exclusive=True,
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uid=[0],
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),
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desc.ChoiceParam(
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name='calibrationWeight',
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label='Calibration Weight',
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description="Weight function used to calibrate camera response \n"
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" * default (automatically selected according to the calibrationMethod) \n"
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" * gaussian \n"
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" * triangle \n"
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" * plateau",
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value='default',
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values=['default', 'gaussian', 'triangle', 'plateau'],
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exclusive=True,
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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='response',
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label='Output response File',
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description='Path to the output response file',
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value=desc.Node.internalFolder + 'response.csv',
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uid=[],
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)
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] |