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f1331c6a15
* According to Meshroom issue #1179 (https://github.com/alicevision/meshroom/issues/1179),
add the describer type "tag16h5" to the following modules:
- ConvertSfmFormat (e.g., to be able to export the 3D AprilTag positions in a human-readable format as .sfm,
or to see only the AprilTag marker positions in the 3D view via .abc)
- FeatureExtraction (to be able to detect AprilTag markers from the tag16h5 family)
- FeatureMatching (to be able to match AprilTag markers)
- SfmTransform (to be able to use AprilTag markers, e.g., for the auto_from_markers transform)
- StructureFromMotion (to be able to compute the 3D positions of AprilTag markers)
* Added a new input to sfmTransform: markerDistances, which is a pair of marker IDs associated with the distance between them.
Added a corresponding new transform: from_marker_distances, which scales the model according to the given distances between pairs of markers.
Added another transform: auto_from_markers, which uses the existing markers parameter (ignoring their x,y,z positions) and applies the auto_from_... function only based on these given markers. The latter transform can, e.g., be used to align a set of markers with the ground plane.
* Revert "Added a new input to sfmTransform: markerDistances, which is a pair of marker IDs associated with the distance between them."
This reverts commit ed87c68f39.
Co-authored-by: jarne <jarne@ieee.org>
Co-authored-by: Fabien Castan <fabcastan@gmail.com>
111 lines
3.2 KiB
Python
111 lines
3.2 KiB
Python
__version__ = "2.0"
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from meshroom.core import desc
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class ConvertSfMFormat(desc.CommandLineNode):
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commandLine = 'aliceVision_convertSfMFormat {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Utils'
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documentation = '''
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Convert an SfM scene from one file format to another.
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It can also be used to remove specific parts of from an SfM scene (like filter all 3D landmarks or filter 2D observations).
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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.ChoiceParam(
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name='fileExt',
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label='SfM File Format',
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description='SfM File Format',
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value='abc',
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values=['abc', 'sfm', 'json', 'ply', 'baf'],
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exclusive=True,
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uid=[0],
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group='', # exclude from command line
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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 to keep.',
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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', 'unknown'],
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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.ListAttribute(
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elementDesc=desc.File(
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name="imageId",
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label="Image id",
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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="imageWhiteList",
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label="Image White List",
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description='image white list (uids or image paths).',
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),
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desc.BoolParam(
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name='views',
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label='Views',
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description='Export views.',
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value=True,
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uid=[0],
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),
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desc.BoolParam(
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name='intrinsics',
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label='Intrinsics',
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description='Export intrinsics.',
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value=True,
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uid=[0],
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),
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desc.BoolParam(
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name='extrinsics',
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label='Extrinsics',
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description='Export extrinsics.',
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value=True,
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uid=[0],
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),
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desc.BoolParam(
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name='structure',
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label='Structure',
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description='Export structure.',
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value=True,
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uid=[0],
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),
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desc.BoolParam(
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name='observations',
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label='Observations',
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description='Export observations.',
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value=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=[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='Output',
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description='Path to the output SfM Data file.',
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value=desc.Node.internalFolder + 'sfm.{fileExtValue}',
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uid=[],
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),
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]
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