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202 lines
7.5 KiB
Python
202 lines
7.5 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 CameraLocalization(desc.AVCommandLineNode):
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commandLine = 'aliceVision_cameraLocalization {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 SfMData file generated by AliceVision.",
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value="",
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),
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desc.File(
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name="mediafile",
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label="Media File",
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description="The folder path or the filename for the media to track.",
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value="",
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),
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desc.File(
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name="visualDebug",
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label="Visual Debug Folder",
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description="If a folder is provided, this enables visual debug and all the debugging information will be saved in that folder.",
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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 descriptors for all the images (ie. 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 Desc Types",
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description="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.File(
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name="calibration",
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label="Calibration",
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description="Calibration file.",
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value="",
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),
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desc.BoolParam(
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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=False,
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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. If set to 0, it lets the ACRansac select an optimal value.",
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value=4.0,
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range=(0.1, 50.0, 0.1),
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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 database.",
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value=4,
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range=(1, 1000, 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. If 0 it is ignored.",
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value=10,
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range=(1, 100, 1),
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),
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desc.IntParam(
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name="commonviews",
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label="Common Views",
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description="[voctree] Number of minimum images in which a point must be seen to be used in cluster tracking.",
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value=3,
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range=(2, 50, 1),
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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.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. 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, 50.0, 1.0),
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),
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desc.IntParam(
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name="nbFrameBufferMatching",
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label="Nb Frame Buffer Matching",
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description="[voctree] Number of previous frames of the sequence to use for matching (0 = Disable).",
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value=10,
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range=(0, 100, 1),
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),
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desc.BoolParam(
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name="robustMatching",
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label="Robust Matching",
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description="[voctree] Enable/Disable the robust matching between query and database images, all putative matches will be considered.",
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value=True,
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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 the database. Parameters specific for final (optional) bundle adjustment optimization of the sequence.",
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value=5,
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range=(1, 100, 1),
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),
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desc.StringParam(
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name="globalBundle",
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label="Global Bundle",
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description="[bundle adjustment] If --refineIntrinsics is not set, this option allows to run a final global bundle adjustment to refine the scene.",
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value="",
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),
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desc.BoolParam(
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name="noDistortion",
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label="No Distortion",
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description="[bundle adjustment] It does not take into account distortion during the BA, it considers the distortion coefficients to all be equal to 0.",
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value=False,
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),
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desc.BoolParam(
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name="noBArefineIntrinsics",
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label="No BA Refine Intrinsics",
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description="[bundle adjustment] If set to true, does not refine intrinsics during BA.",
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value=False,
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),
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desc.IntParam(
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name="minPointVisibility",
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label="Min Point Visibility",
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description="[bundle adjustment] Minimum number of observations that a point must have in order to be considered for bundle adjustment.",
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value=2,
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range=(2, 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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desc.File(
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name="outputJSON",
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label="JSON File",
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description="Filename for the localization results as .json.",
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value=desc.Node.internalFolder + "trackedCameras.json",
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),
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]
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