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72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
import sys
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import os
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from meshroom.core import desc
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class SfMTransform(desc.CommandLineNode):
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internalFolder = '{cache}/{nodeType}/{uid0}/'
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commandLine = 'aliceVision_utils_sfmTransform {allParams}'
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size = desc.DynamicNodeSize('input')
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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.ChoiceParam(
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name='method',
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label='Transformation Method',
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description='''Transformation method (transformation, auto_from_cameras, auto_from_landmarks).''',
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value='auto_from_landmarks',
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values=['transformation', 'auto_from_cameras', 'auto_from_landmarks'],
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exclusive=True,
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uid=[0],
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),
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desc.StringParam(
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name='transformation',
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label='Transformation',
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description='''Align [X,Y,Z] to +Y-axis, rotate around Y by R deg, scale by S; syntax: X,Y,Z;R;S. (required only for 'transformation' method)''',
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value='',
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uid=[0],
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),
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desc.ChoiceParam(
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name='landmarksDescriberTypes',
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label='Landmarks Describer Types',
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description='''Image describer types used to compute the mean of the point cloud. (only for 'landmarks' method)''',
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value=['SIFT', 'SIFT_FLOAT', 'AKAZE', 'AKAZE_LIOP', 'AKAZE_MLDB', 'CCTAG3', 'CCTAG4', 'SIFT_OCV', 'AKAZE_OCV'],
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values=['SIFT', 'SIFT_FLOAT', 'AKAZE', 'AKAZE_LIOP', 'AKAZE_MLDB', 'CCTAG3', 'CCTAG4', 'SIFT_OCV', 'AKAZE_OCV'],
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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.FloatParam(
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name='scale',
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label='Additional Scale',
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description='Additional scale to apply.',
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value=10.0,
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range=(1, 100.0, 1),
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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='Output',
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description='''Aligned SfMData file .''',
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value='{cache}/{nodeType}/{uid0}/transformedSfM.abc',
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uid=[],
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),
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]
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