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167 lines
6.1 KiB
Python
167 lines
6.1 KiB
Python
__version__ = "1.0"
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from meshroom.core import desc
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from meshroom.core.utils import DESCRIBER_TYPES, VERBOSE_LEVEL
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class CameraRigLocalization(desc.AVCommandLineNode):
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commandLine = 'aliceVision_rigLocalization {allParams}'
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category = 'Utils'
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documentation = '''
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'''
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inputs = [
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desc.File(
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name="sfmdata",
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label="SfMData",
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description="The input SfMData file.",
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value="",
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),
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desc.File(
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name="mediapath",
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label="Media Path",
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description="The path to the video file, the folder of the image sequence or a text file (one image path per line) for each camera of the rig (eg. --mediapath /path/to/cam1.mov /path/to/cam2.mov).",
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value="",
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),
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desc.File(
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name="calibration",
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label="Rig Calibration File",
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description="The file containing the calibration data for the rig (subposes).",
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value="",
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),
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desc.File(
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name="cameraIntrinsics",
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label="Camera Intrinsics",
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description="The intrinsics calibration file for each camera of the rig (eg. --cameraIntrinsics /path/to/calib1.txt /path/to/calib2.txt).",
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value="",
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),
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desc.File(
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name="descriptorPath",
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label="Descriptor Path",
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description="Folder containing the .desc.",
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value="",
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),
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desc.ChoiceParam(
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name="matchDescTypes",
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label="Match Describer Types",
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description="The describer types to use for the matching.",
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values=DESCRIBER_TYPES,
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value=["dspsift"],
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exclusive=False,
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joinChar=",",
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),
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desc.ChoiceParam(
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name="preset",
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label="Preset",
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description="Preset for the feature extractor when localizing a new image (low, medium, normal, high, ultra).",
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value="normal",
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values=["low", "medium", "normal", "high", "ultra"],
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),
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desc.ChoiceParam(
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name="resectionEstimator",
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label="Resection Estimator",
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description="The type of *sac framework to use for resection (acransac, loransac).",
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value="acransac",
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values=["acransac", "loransac"],
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),
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desc.ChoiceParam(
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name="matchingEstimator",
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label="Matching Estimator",
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description="The type of *sac framework to use for matching (acransac, loransac).",
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value="acransac",
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values=["acransac", "loransac"],
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),
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desc.StringParam(
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name="refineIntrinsics",
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label="Refine Intrinsics",
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description="Enable/Disable camera intrinsics refinement for each localized image.",
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value="",
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),
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desc.FloatParam(
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name="reprojectionError",
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label="Reprojection Error",
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description="Maximum reprojection error (in pixels) allowed for resectioning.\n"
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"If set to 0, it lets the ACRansac select an optimal value.",
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value=4.0,
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range=(0.0, 10.0, 0.1),
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),
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desc.BoolParam(
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name="useLocalizeRigNaive",
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label="Use Localize Rig Naive",
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description="Enable/Disable the naive method for rig localization: naive method tries to localize each camera separately.",
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value=False,
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),
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desc.FloatParam(
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name="angularThreshold",
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label="Angular Threshold",
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description="The maximum angular threshold in degrees between feature bearing vector and 3D point direction. Used only with the opengv method.",
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value=0.1,
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range=(0.0, 10.0, 0.01),
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),
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desc.File(
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name="voctree",
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label="Voctree",
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description="[voctree] Filename for the vocabulary tree.""",
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value="${ALICEVISION_VOCTREE}",
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),
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desc.File(
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name="voctreeWeights",
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label="Voctree Weights",
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description="[voctree] Filename for the vocabulary tree weights.",
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value="",
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),
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desc.ChoiceParam(
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name="algorithm",
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label="Algorithm",
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description="[voctree] Algorithm type: {FirstBest, AllResults}.",
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value="AllResults",
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values=["FirstBest", "AllResults"],
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),
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desc.IntParam(
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name="nbImageMatch",
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label="Nb Image Match",
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description="[voctree] Number of images to retrieve in the database.",
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value=4,
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range=(0, 100, 1),
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),
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desc.IntParam(
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name="maxResults",
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label="Max Results",
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description="[voctree] For algorithm AllResults, it stops the image matching when this number of matched images is reached.\n"
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"If set to 0, it is ignored.",
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value=10,
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range=(0, 100, 1),
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),
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desc.FloatParam(
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name="matchingError",
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label="Matching Error",
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description="[voctree] Maximum matching error (in pixels) allowed for image matching with geometric verification.\n"
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"If set to 0, it lets the ACRansac select an optimal value.",
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value=4.0,
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range=(0.0, 10.0, 0.1),
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),
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desc.IntParam(
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name="nNearestKeyFrames",
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label="N Nearest Key Frames",
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description="[cctag] Number of images to retrieve in database.",
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value=5,
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range=(0, 50, 1),
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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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values=VERBOSE_LEVEL,
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value="info",
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),
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]
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outputs = [
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desc.File(
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name="outputAlembic",
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label="Alembic",
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description="Filename for the SfMData export file (where camera poses will be stored).",
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value=desc.Node.internalFolder + "trackedcameras.abc",
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),
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]
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