Meshroom/meshroom/nodes/aliceVision/CameraRigLocalization.py
2024-09-16 17:50:54 +02:00

167 lines
6.1 KiB
Python

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