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[nodes] Remove useless exclusive=True in descriptions

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This commit is contained in:
Candice Bentéjac 2024-09-16 17:50:54 +02:00
parent 30c108b7bf
commit 002d316cc3
81 changed files with 0 additions and 210 deletions
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1
meshroom/nodes/aliceVision/ApplyCalibration.py
View file

@ -36,7 +36,6 @@ class ApplyCalibration(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/CameraCalibration.py
View file

@ -27,7 +27,6 @@ class CameraCalibration(desc.AVCommandLineNode):
description="Type of pattern (CHESSBOARD, CIRCLES, ASYMMETRIC_CIRCLES, ASYMMETRIC_CCTAG).",
value="CHESSBOARD",
values=["CHESSBOARD", "CIRCLES", "ASYMMETRIC_CIRCLES", "ASYMMETRIC_CCTAG"],
exclusive=True,
),
desc.GroupAttribute(
name="size",
@ -117,7 +116,6 @@ class CameraCalibration(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

8
meshroom/nodes/aliceVision/CameraInit.py
View file

@ -134,7 +134,6 @@ Intrinsic = [
" - equidistant: Non-projective camera model suited for full-fisheye optics.\n",
value="pinhole",
values=["pinhole", "equidistant"],
exclusive=True,
),
desc.ChoiceParam(
name="distortionType",
@ -149,7 +148,6 @@ Intrinsic = [
" - fisheye4: distortion with 4 parameters suited for fisheye optics (like 120deg FoV).\n",
value="radialk3",
values=["none", "radialk1", "radialk3", "radialk3pt", "brown", "fisheye4", "fisheye1"],
exclusive=True,
),
desc.IntParam(
name="width",
@ -216,7 +214,6 @@ Intrinsic = [
" - none: not set.",
values=["calibrated", "estimated", "unknown", "none"],
value="none",
exclusive=True,
),
desc.ChoiceParam(
name="distortionInitializationMode",
@ -228,7 +225,6 @@ Intrinsic = [
" - none: not set.",
values=["calibrated", "estimated", "unknown", "none"],
value="none",
exclusive=True,
),
desc.ListAttribute(
name="distortionParams",
@ -418,7 +414,6 @@ The needed metadata are:
" - image: never group images from comparable devices.",
values=["global", "folder", "image"],
value="folder",
exclusive=True,
invalidate=False,
),
desc.ChoiceParam(
@ -432,7 +427,6 @@ The needed metadata are:
" - DCPMetadata: Same as None with DCP info added in metadata.",
values=RAW_COLOR_INTERPRETATION,
value="DCPLinearProcessing" if os.environ.get("ALICEVISION_COLOR_PROFILE_DB", "") else "LibRawWhiteBalancing",
exclusive=True,
),
desc.File(
name="colorProfileDatabase",
@ -459,7 +453,6 @@ The needed metadata are:
" - filename : Generate viewId from filename using regex.",
value="metadata",
values=["metadata", "filename"],
exclusive=True,
invalidate=False,
advanced=True,
),
@ -485,7 +478,6 @@ The needed metadata are:
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

5
meshroom/nodes/aliceVision/CameraLocalization.py
View file

@ -51,7 +51,6 @@ class CameraLocalization(desc.AVCommandLineNode):
description="Preset for the feature extractor when localizing a new image (low, medium, normal, high, ultra).",
value="normal",
values=["low", "medium", "normal", "high", "ultra"],
exclusive=True,
),
desc.ChoiceParam(
name="resectionEstimator",
@ -59,7 +58,6 @@ class CameraLocalization(desc.AVCommandLineNode):
description="The type of *sac framework to use for resection (acransac, loransac).",
value="acransac",
values=["acransac", "loransac"],
exclusive=True,
),
desc.ChoiceParam(
name="matchingEstimator",
@ -67,7 +65,6 @@ class CameraLocalization(desc.AVCommandLineNode):
description="The type of *sac framework to use for matching (acransac, loransac).",
value="acransac",
values=["acransac", "loransac"],
exclusive=True,
),
desc.File(
name="calibration",
@ -127,7 +124,6 @@ class CameraLocalization(desc.AVCommandLineNode):
description="[voctree] Algorithm type: FirstBest, AllResults.",
value="AllResults",
values=["FirstBest", "AllResults"],
exclusive=True,
),
desc.FloatParam(
name="matchingError",
@ -187,7 +183,6 @@ class CameraLocalization(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

5
meshroom/nodes/aliceVision/CameraRigCalibration.py
View file

@ -58,7 +58,6 @@ class CameraRigCalibration(desc.AVCommandLineNode):
description="Preset for the feature extractor when localizing a new image (low, medium, normal, high, ultra).",
value="normal",
values=["low", "medium", "normal", "high", "ultra"],
exclusive=True,
),
desc.ChoiceParam(
name="resectionEstimator",
@ -66,7 +65,6 @@ class CameraRigCalibration(desc.AVCommandLineNode):
description="The type of *sac framework to use for resection (acransac, loransac).",
value="acransac",
values=["acransac", "loransac"],
exclusive=True,
),
desc.ChoiceParam(
name="matchingEstimator",
@ -74,7 +72,6 @@ class CameraRigCalibration(desc.AVCommandLineNode):
description="The type of *sac framework to use for matching (acransac, loransac).",
value="acransac",
values=["acransac", "loransac"],
exclusive=True,
),
desc.StringParam(
name="refineIntrinsics",
@ -115,7 +112,6 @@ class CameraRigCalibration(desc.AVCommandLineNode):
description="[voctree] Algorithm type: {FirstBest, AllResults}.",
value="AllResults",
values=["FirstBest", "AllResults"],
exclusive=True,
),
desc.IntParam(
name="nbImageMatch",
@ -152,7 +148,6 @@ class CameraRigCalibration(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

5
meshroom/nodes/aliceVision/CameraRigLocalization.py
View file

@ -57,7 +57,6 @@ class CameraRigLocalization(desc.AVCommandLineNode):
description="Preset for the feature extractor when localizing a new image (low, medium, normal, high, ultra).",
value="normal",
values=["low", "medium", "normal", "high", "ultra"],
exclusive=True,
),
desc.ChoiceParam(
name="resectionEstimator",
@ -65,7 +64,6 @@ class CameraRigLocalization(desc.AVCommandLineNode):
description="The type of *sac framework to use for resection (acransac, loransac).",
value="acransac",
values=["acransac", "loransac"],
exclusive=True,
),
desc.ChoiceParam(
name="matchingEstimator",
@ -73,7 +71,6 @@ class CameraRigLocalization(desc.AVCommandLineNode):
description="The type of *sac framework to use for matching (acransac, loransac).",
value="acransac",
values=["acransac", "loransac"],
exclusive=True,
),
desc.StringParam(
name="refineIntrinsics",
@ -120,7 +117,6 @@ class CameraRigLocalization(desc.AVCommandLineNode):
description="[voctree] Algorithm type: {FirstBest, AllResults}.",
value="AllResults",
values=["FirstBest", "AllResults"],
exclusive=True,
),
desc.IntParam(
name="nbImageMatch",
@ -158,7 +154,6 @@ class CameraRigLocalization(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/CheckerboardCalibration.py
View file

@ -39,7 +39,6 @@ Estimate the camera intrinsics and extrinsincs on a set of checkerboard images.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/CheckerboardDetection.py
View file

@ -53,7 +53,6 @@ The detection method also supports nested calibration grids.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/ColorCheckerCorrection.py
View file

@ -43,7 +43,6 @@ If multiple color charts are submitted, only the first one will be taken in acco
description="Output image file extension.",
value="exr",
values=["exr", ""],
exclusive=True,
),
desc.ChoiceParam(
name="storageDataType",
@ -55,7 +54,6 @@ If multiple color charts are submitted, only the first one will be taken in acco
" - auto: Use half float if all values can fit, else use full float.",
values=EXR_STORAGE_DATA_TYPE,
value="float",
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -63,7 +61,6 @@ If multiple color charts are submitted, only the first one will be taken in acco
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ColorCheckerDetection.py
View file

@ -54,7 +54,6 @@ Dev notes:
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/ConvertDistortion.py
View file

@ -26,7 +26,6 @@ class ConvertDistortion(desc.AVCommandLineNode):
description="Distortion model to convert from.",
value="distortion",
values=["distortion", "undistortion"],
exclusive=True,
),
desc.ChoiceParam(
name="to",
@ -34,7 +33,6 @@ class ConvertDistortion(desc.AVCommandLineNode):
description="Distortion model to convert to.",
value="undistortion",
values=["distortion", "undistortion"],
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -42,7 +40,6 @@ class ConvertDistortion(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/ConvertMesh.py
View file

@ -23,7 +23,6 @@ class ConvertMesh(desc.AVCommandLineNode):
description="Output mesh format (*.obj, *.gltf, *.fbx, *.stl).",
value="obj",
values=["gltf", "obj", "fbx", "stl"],
exclusive=True,
group="",
),
desc.ChoiceParam(
@ -32,7 +31,6 @@ class ConvertMesh(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/ConvertSfMFormat.py
View file

@ -27,7 +27,6 @@ It can also be used to remove specific parts of from an SfM scene (like filter a
description="Output SfM file format.",
value="abc",
values=["abc", "sfm", "json", "ply", "baf"],
exclusive=True,
group="", # exclude from command line
),
desc.ChoiceParam(
@ -87,7 +86,6 @@ It can also be used to remove specific parts of from an SfM scene (like filter a
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/DepthMap.py
View file

@ -48,7 +48,6 @@ Use a downscale factor of one (full-resolution) only if the quality of the input
"specularities), a larger downscale may improve.",
value=2,
values=[1, 2, 4, 8, 16],
exclusive=True,
),
desc.FloatParam(
name="minViewAngle",
@ -440,7 +439,6 @@ Use a downscale factor of one (full-resolution) only if the quality of the input
description="Patch pattern subpart type.",
value="full",
values=["full", "circle"],
exclusive=True,
),
desc.FloatParam(
name="customPatchPatternSubpartRadius",
@ -559,7 +557,6 @@ Use a downscale factor of one (full-resolution) only if the quality of the input
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/DepthMapFilter.py
View file

@ -105,7 +105,6 @@ This allows to filter unstable points before starting the fusion of all depth ma
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/DistortionCalibration.py
View file

@ -32,7 +32,6 @@ Calibration of a camera/lens couple distortion using a full screen checkerboard.
description="model used to estimate undistortion.",
value="3deanamorphic4",
values=["3deanamorphic4", "3declassicld", "3deradial4"],
exclusive=True,
),
desc.BoolParam(
name="handleSqueeze",
@ -52,7 +51,6 @@ Calibration of a camera/lens couple distortion using a full screen checkerboard.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/ExportAnimatedCamera.py
View file

@ -54,7 +54,6 @@ Based on the input image filenames, it will recognize the input video sequence t
description="Image file format to use for undistorted images ('jpg', 'png', 'tif', 'exr (half)').",
value="exr",
values=["jpg", "png", "tif", "exr"],
exclusive=True,
enabled=lambda node: node.exportUndistortedImages.value,
),
desc.BoolParam(
@ -76,7 +75,6 @@ Based on the input image filenames, it will recognize the input video sequence t
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ExportColoredPointCloud.py
View file

@ -24,7 +24,6 @@ class ExportColoredPointCloud(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ExportDistortion.py
View file

@ -45,7 +45,6 @@ It also allows to export an undistorted image of the lens grids for validation.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ExportMatches.py
View file

@ -56,7 +56,6 @@ class ExportMatches(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ExportMaya.py
View file

@ -28,7 +28,6 @@ MeshroomMaya contains a user interface to browse all cameras.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

6
meshroom/nodes/aliceVision/FeatureExtraction.py
View file

@ -50,7 +50,6 @@ It is robust to motion-blur, depth-of-field, occlusion. Be careful to have enoug
description="File extension for masks.",
value="png",
values=["png", "exr", "jpg"],
exclusive=True,
),
desc.BoolParam(
name="maskInvert",
@ -75,7 +74,6 @@ It is robust to motion-blur, depth-of-field, occlusion. Be careful to have enoug
"Warning: Use ULTRA only on small datasets.",
value="normal",
values=["low", "medium", "normal", "high", "ultra", "custom"],
exclusive=True,
group=lambda node: 'allParams' if node.describerPreset.value != 'custom' else None,
),
desc.IntParam(
@ -93,7 +91,6 @@ It is robust to motion-blur, depth-of-field, occlusion. Be careful to have enoug
description="Control the ImageDescriber quality (low, medium, normal, high, ultra).",
value="normal",
values=["low", "medium", "normal", "high", "ultra"],
exclusive=True,
),
desc.ChoiceParam(
name="contrastFiltering",
@ -108,7 +105,6 @@ It is robust to motion-blur, depth-of-field, occlusion. Be careful to have enoug
" - NonExtremaFiltering: Filter non-extrema peakValues.\n",
value="GridSort",
values=["Static", "AdaptiveToMedianVariance", "NoFiltering", "GridSortOctaves", "GridSort", "GridSortScaleSteps", "GridSortOctaveSteps", "NonExtremaFiltering"],
exclusive=True,
advanced=True,
),
desc.FloatParam(
@ -133,7 +129,6 @@ It is robust to motion-blur, depth-of-field, occlusion. Be careful to have enoug
description="Allows you to choose the color space in which the data are processed.",
values=COLORSPACES,
value="sRGB",
exclusive=True,
),
desc.BoolParam(
name="forceCpuExtraction",
@ -157,7 +152,6 @@ It is robust to motion-blur, depth-of-field, occlusion. Be careful to have enoug
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/FeatureMatching.py
View file

@ -80,7 +80,6 @@ then it checks the number of features that validates this model and iterate thro
" - BRUTE_FORCE_HAMMING: BruteForce Hamming matching",
value="ANN_L2",
values=["BRUTE_FORCE_L2", "ANN_L2", "CASCADE_HASHING_L2", "FAST_CASCADE_HASHING_L2", "BRUTE_FORCE_HAMMING"],
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -91,7 +90,6 @@ then it checks the number of features that validates this model and iterate thro
" - loransac: LO-Ransac (only available for 'fundamental_matrix' model).",
value="acransac",
values=["acransac", "loransac"],
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -106,7 +104,6 @@ then it checks the number of features that validates this model and iterate thro
" - no_filtering",
value="fundamental_matrix",
values=["fundamental_matrix", "fundamental_with_distortion", "essential_matrix", "homography_matrix", "homography_growing", "no_filtering"],
exclusive=True,
advanced=True,
),
desc.FloatParam(
@ -201,7 +198,6 @@ then it checks the number of features that validates this model and iterate thro
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]
outputs = [

4
meshroom/nodes/aliceVision/FeatureRepeatability.py
View file

@ -38,7 +38,6 @@ Compare feature/descriptor matching repeatability on some dataset with known hom
"Warning: Use ULTRA only on small datasets.",
value="normal",
values=["low", "medium", "normal", "high", "ultra"],
exclusive=True,
),
desc.ChoiceParam(
name="describerQuality",
@ -46,7 +45,6 @@ Compare feature/descriptor matching repeatability on some dataset with known hom
description="Control the ImageDescriber quality (low, medium, normal, high, ultra).",
value="normal",
values=["low", "medium", "normal", "high", "ultra"],
exclusive=True,
),
desc.ChoiceParam(
name="contrastFiltering",
@ -61,7 +59,6 @@ Compare feature/descriptor matching repeatability on some dataset with known hom
" - NonExtremaFiltering: Filter non-extrema peakValues.",
value="Static",
values=["Static", "AdaptiveToMedianVariance", "NoFiltering", "GridSortOctaves", "GridSort", "GridSortScaleSteps", "GridSortOctaveSteps", "NonExtremaFiltering"],
exclusive=True,
advanced=True,
),
desc.FloatParam(
@ -110,7 +107,6 @@ Compare feature/descriptor matching repeatability on some dataset with known hom
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/GlobalSfM.py
View file

@ -61,7 +61,6 @@ It is known to be faster but less robust to challenging datasets than the Increm
" - L2 minimization",
values=["L1_minimization", "L2_minimization"],
value="L2_minimization",
exclusive=True,
),
desc.ChoiceParam(
name="translationAveraging",
@ -72,7 +71,6 @@ It is known to be faster but less robust to challenging datasets than the Increm
" - L1 soft minimization",
values=["L1_minimization", "L2_minimization", "L1_soft_minimization"],
value="L1_soft_minimization",
exclusive=True,
),
desc.BoolParam(
name="lockAllIntrinsics",
@ -88,7 +86,6 @@ It is known to be faster but less robust to challenging datasets than the Increm
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/ImageMasking.py
View file

@ -26,7 +26,6 @@ class ImageMasking(desc.AVCommandLineNode):
description="",
value="HSV",
values=["HSV", "AutoGrayscaleThreshold"],
exclusive=True,
),
desc.GroupAttribute(
name="hsv",
@ -124,7 +123,6 @@ class ImageMasking(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/ImageMatching.py
View file

@ -66,7 +66,6 @@ If images have known poses, use frustum intersection else use VocabularuTree.
" - FrustumOrVocabularyTree: If images have known poses, use frustum intersection else use VocabularyTree.\n",
value="SequentialAndVocabularyTree",
values=["VocabularyTree", "Sequential", "SequentialAndVocabularyTree", "Exhaustive", "Frustum", "FrustumOrVocabularyTree"],
exclusive=True,
),
desc.File(
name="tree",
@ -128,7 +127,6 @@ If images have known poses, use frustum intersection else use VocabularuTree.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/ImageMatchingMultiSfM.py
View file

@ -62,7 +62,6 @@ Thanks to this node, the FeatureMatching node will only compute the matches betw
"use VocabularyTree.\n",
value="SequentialAndVocabularyTree",
values=["VocabularyTree", "SequentialAndVocabularyTree", "Exhaustive", "Frustum"],
exclusive=True,
),
desc.File(
name="tree",
@ -90,7 +89,6 @@ Thanks to this node, the FeatureMatching node will only compute the matches betw
"- 'a/b' for A with B.",
value="a/a+a/b",
values=["a/a+a/b","a/ab", "a/b"],
exclusive=True,
),
desc.IntParam(
name="minNbImages",
@ -135,7 +133,6 @@ Thanks to this node, the FeatureMatching node will only compute the matches betw
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

12
meshroom/nodes/aliceVision/ImageProcessing.py
View file

@ -83,7 +83,6 @@ Convert or apply filtering to the input images.
"If unset, the output file extension will match the input's if possible.",
value="",
values=["", "exr", "jpg", "tiff", "png"],
exclusive=True,
),
desc.BoolParam(
name="reconstructedViewsOnly",
@ -334,7 +333,6 @@ Convert or apply filtering to the input images.
" - salt: changes to value A a portion of pixels given by B.\n",
value="uniform",
values=["uniform", "gaussian", "salt"],
exclusive=True,
enabled=lambda node: node.noiseFilter.noiseEnabled.value,
),
desc.FloatParam(
@ -449,7 +447,6 @@ Convert or apply filtering to the input images.
description="Allows you to choose the format of the output image.",
value="rgba",
values=["rgba", "rgb", "grayscale"],
exclusive=True,
),
desc.ChoiceParam(
name="inputColorSpace",
@ -457,7 +454,6 @@ Convert or apply filtering to the input images.
description="Allows you to force the color space of the input image.",
values=COLORSPACES,
value="AUTO",
exclusive=True,
),
desc.ChoiceParam(
name="outputColorSpace",
@ -465,7 +461,6 @@ Convert or apply filtering to the input images.
description="Allows you to choose the color space of the output image.",
values=COLORSPACES,
value="AUTO",
exclusive=True,
),
desc.ChoiceParam(
name="workingColorSpace",
@ -473,7 +468,6 @@ Convert or apply filtering to the input images.
description="Allows you to choose the color space in which the data are processed.",
values=COLORSPACES,
value="Linear",
exclusive=True,
enabled=lambda node: not node.applyDcpMetadata.value,
),
desc.ChoiceParam(
@ -482,7 +476,6 @@ Convert or apply filtering to the input images.
description="Allows you to choose how RAW data are color processed.",
values=RAW_COLOR_INTERPRETATION,
value="DCPLinearProcessing" if os.environ.get("ALICEVISION_COLOR_PROFILE_DB", "") else "LibRawWhiteBalancing",
exclusive=True,
),
desc.BoolParam(
name="applyDcpMetadata",
@ -525,7 +518,6 @@ Convert or apply filtering to the input images.
description="LibRaw demosaicing algorithm to use.",
value="AHD",
values=["linear", "VNG", "PPG", "AHD", "DCB", "AHD-Mod", "AFD", "VCD", "Mixed", "LMMSE", "AMaZE", "DHT", "AAHD", "none"],
exclusive=True,
),
desc.ChoiceParam(
name="highlightMode",
@ -537,7 +529,6 @@ Convert or apply filtering to the input images.
" - 3-9: Rebuild",
value=0,
values=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
exclusive=True,
),
desc.FloatParam(
name="correlatedColorTemperature",
@ -571,7 +562,6 @@ Convert or apply filtering to the input images.
" - auto: Use half float if all values can fit, else use full float.",
values=EXR_STORAGE_DATA_TYPE,
value="float",
exclusive=True,
),
desc.ChoiceParam(
name="exrCompressionMethod",
@ -579,7 +569,6 @@ Convert or apply filtering to the input images.
description="Compression method for EXR output images.",
value="auto",
values=["none", "auto", "rle", "zip", "zips", "piz", "pxr24", "b44", "b44a", "dwaa", "dwab"],
exclusive=True,
),
desc.IntParam(
name="exrCompressionLevel",
@ -611,7 +600,6 @@ Convert or apply filtering to the input images.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ImageSegmentation.py
View file

@ -73,7 +73,6 @@ Generate a mask with segmented labels for each pixel.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ImportE57.py
View file

@ -52,7 +52,6 @@ Import an E57 file and generate an SfMData.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/ImportKnownPoses.py
View file

@ -31,7 +31,6 @@ class ImportKnownPoses(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/KeyframeSelection.py
View file

@ -283,7 +283,6 @@ You can extract frames at regular interval by configuring only the min/maxFrameS
"For input videos, 'none' should not be used since the written keyframes are used to generate the output SfMData file.",
value="none",
values=["none", "exr", "jpg", "png"],
exclusive=True,
validValue=lambda node: not (any(ext in input.value.lower() for ext in videoExts for input in node.inputPaths.value) and node.outputExtension.value == "none"),
errorMessage="A video input has been provided. The output extension should be different from 'none'.",
),
@ -297,7 +296,6 @@ You can extract frames at regular interval by configuring only the min/maxFrameS
" - auto: Use half float if all values can fit, else use full float.",
values=EXR_STORAGE_DATA_TYPE,
value="float",
exclusive=True,
enabled=lambda node: node.outputExtension.value == "exr",
advanced=True,
),
@ -384,7 +382,6 @@ You can extract frames at regular interval by configuring only the min/maxFrameS
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/LdrToHdrCalibration.py
View file

@ -92,7 +92,6 @@ Calibrate LDR to HDR response curve from samples.
" - Laguerre: Simple but robust method estimating the minimal number of parameters.",
values=["auto", "linear", "debevec", "grossberg", "laguerre"],
value="auto",
exclusive=True,
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
exposed=True,
),
@ -106,7 +105,6 @@ Calibrate LDR to HDR response curve from samples.
" - plateau",
value="default",
values=["default", "gaussian", "triangle", "plateau"],
exclusive=True,
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
),
desc.IntParam(
@ -126,7 +124,6 @@ Calibrate LDR to HDR response curve from samples.
"If 'auto' is selected, the working color space will be 'Linear' if RAW images are detected; otherwise, it will be set to 'sRGB'.",
values=COLORSPACES,
value="AUTO",
exclusive=True,
invalidate=False,
group="user", # not used directly on the command line
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
@ -149,7 +146,6 @@ Calibrate LDR to HDR response curve from samples.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/LdrToHdrMerge.py
View file

@ -142,7 +142,6 @@ Merge LDR images into HDR images.
" - plateau",
value="gaussian",
values=["gaussian", "triangle", "plateau"],
exclusive=True,
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
),
desc.IntParam(
@ -162,7 +161,6 @@ Merge LDR images into HDR images.
"If 'auto' is selected, the working color space will be 'Linear' if RAW images are detected; otherwise, it will be set to 'sRGB'.",
values=COLORSPACES,
value="AUTO",
exclusive=True,
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
exposed=True,
),
@ -218,7 +216,6 @@ Merge LDR images into HDR images.
" - auto: Use half float if all values can fit, else use full float.",
values=EXR_STORAGE_DATA_TYPE,
value="float",
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -226,7 +223,6 @@ Merge LDR images into HDR images.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/LdrToHdrSampling.py
View file

@ -107,7 +107,6 @@ Sample pixels from Low range images for HDR creation.
" - Laguerre: Simple but robust method estimating the minimal number of parameters.",
values=["auto", "linear", "debevec", "grossberg", "laguerre"],
value="auto",
exclusive=True,
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
exposed=True,
),
@ -128,7 +127,6 @@ Sample pixels from Low range images for HDR creation.
"If 'auto' is selected, the working color space will be 'Linear' if RAW images are detected; otherwise, it will be set to 'sRGB'.",
values=COLORSPACES,
value="AUTO",
exclusive=True,
enabled=lambda node: node.byPass.enabled and not node.byPass.value,
exposed=True,
),
@ -173,7 +171,6 @@ Sample pixels from Low range images for HDR creation.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/LidarDecimating.py
View file

@ -38,7 +38,6 @@ class LidarDecimating(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/LidarMerging.py
View file

@ -27,7 +27,6 @@ class LidarMerging(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/LidarMeshing.py
View file

@ -118,7 +118,6 @@ class LidarMeshing(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/LightingCalibration.py
View file

@ -45,7 +45,6 @@ Can also be used to calibrate a lighting dome (RTI type).
"Spherical Harmonic lighting can be estimated using 'SH' method.",
values=["brightestPoint", "whiteSphere", "SH"],
value="brightestPoint",
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -53,7 +52,6 @@ Can also be used to calibrate a lighting dome (RTI type).
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/LightingEstimation.py
View file

@ -37,7 +37,6 @@ class LightingEstimation(desc.AVCommandLineNode):
description="Lighting estimation mode.",
value="global",
values=["global", "per_image"],
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -46,7 +45,6 @@ class LightingEstimation(desc.AVCommandLineNode):
description="Lighting color mode.",
value="RGB",
values=["RGB", "Luminance"],
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -55,7 +53,6 @@ class LightingEstimation(desc.AVCommandLineNode):
description="Albedo estimation method used for light estimation.",
value="constant",
values=["constant", "picture", "median_filter", "blur_filter"],
exclusive=True,
advanced=True,
),
desc.IntParam(
@ -72,7 +69,6 @@ class LightingEstimation(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/MergeMeshes.py
View file

@ -37,7 +37,6 @@ Operation types used to merge two meshes:
description="Operation types used to merge two meshes.",
value="boolean_union",
values=["boolean_union", "boolean_intersection", "boolean_difference"],
exclusive=True,
),
desc.BoolParam(
name="preProcess",
@ -57,7 +56,6 @@ Operation types used to merge two meshes:
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/MeshDecimate.py
View file

@ -64,7 +64,6 @@ This node allows to reduce the density of the Mesh.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/MeshDenoising.py
View file

@ -72,7 +72,6 @@ for now, the parameters are difficult to control and vary a lot from one dataset
" - POISSON_UPDATE: Poisson-based update from [Wang et al. 2015] 'Rolling guidance normal filter for geometric processing'.",
value=0,
values=[0, 1],
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -80,7 +79,6 @@ for now, the parameters are difficult to control and vary a lot from one dataset
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/MeshFiltering.py
View file

@ -25,7 +25,6 @@ This node applies a Laplacian filtering to remove local defects from the raw Mes
description="File type for the output mesh.",
value="obj",
values=["gltf", "obj", "fbx", "stl"],
exclusive=True,
group="",
),
desc.BoolParam(
@ -40,7 +39,6 @@ This node applies a Laplacian filtering to remove local defects from the raw Mes
description="Subset for smoothing (all, surface_boundaries, surface_inner_part).",
value="all",
values=["all", "surface_boundaries", "surface_inner_part"],
exclusive=True,
advanced=True,
),
desc.IntParam(
@ -72,7 +70,6 @@ This node applies a Laplacian filtering to remove local defects from the raw Mes
description="Subset for filtering (all, surface_boundaries, surface_inner_part).",
value="all",
values=["all", "surface_boundaries", "surface_inner_part"],
exclusive=True,
advanced=True,
),
desc.IntParam(
@ -107,7 +104,6 @@ This node applies a Laplacian filtering to remove local defects from the raw Mes
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/MeshMasking.py
View file

@ -30,7 +30,6 @@ Decimate triangles based on image masks.
description="File type of the output mesh.",
value="obj",
values=["obj", "gltf", "fbx", "stl"],
exclusive=True,
group="",
),
desc.ListAttribute(
@ -50,7 +49,6 @@ Decimate triangles based on image masks.
description="File extension for the masks to use.",
value="png",
values=["exr", "jpg", "png"],
exclusive=True,
),
desc.IntParam(
name="threshold",
@ -92,7 +90,6 @@ Decimate triangles based on image masks.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/MeshRemoveUnseenFaces.py
View file

@ -34,7 +34,6 @@ Remove triangles from the mesh when the vertices are not visible by any camera.
description="File type for the output mesh.",
value="obj",
values=["gltf", "obj", "fbx", "stl"],
exclusive=True,
group="",
),
desc.IntParam(
@ -57,7 +56,6 @@ Remove triangles from the mesh when the vertices are not visible by any camera.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/MeshResampling.py
View file

@ -69,7 +69,6 @@ This node allows to recompute the mesh surface with a new topology and uniform d
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/Meshing.py
View file

@ -41,7 +41,6 @@ A Graph Cut Max-Flow is applied to optimally cut the volume. This cut represents
description="File type for the output mesh.",
value="obj",
values=["gltf", "obj", "fbx", "stl"],
exclusive=True,
group="",
),
desc.BoolParam(
@ -193,7 +192,6 @@ A Graph Cut Max-Flow is applied to optimally cut the volume. This cut represents
description="Single block or auto partitioning.",
value="singleBlock",
values=["singleBlock", "auto"],
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -202,7 +200,6 @@ A Graph Cut Max-Flow is applied to optimally cut the volume. This cut represents
description="Multi-resolution or regular grid-based repartition.",
value="multiResolution",
values=["multiResolution", "regularGrid"],
exclusive=True,
advanced=True,
),
desc.FloatParam(
@ -467,7 +464,6 @@ A Graph Cut Max-Flow is applied to optimally cut the volume. This cut represents
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/NodalSfM.py
View file

@ -38,7 +38,6 @@ A Structure-From-Motion node specifically designed to handle pure rotation camer
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/NormalIntegration.py
View file

@ -37,7 +37,6 @@ Evaluate a depth map from a normals map (currently in development)
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/PanoramaCompositing.py
View file

@ -51,7 +51,6 @@ Multiple cameras are contributing to the low frequencies and only the best one c
" - alpha: debug option with linear transitions.",
value="multiband",
values=["replace", "alpha", "multiband"],
exclusive=True,
),
desc.IntParam(
name="forceMinPyramidLevels",
@ -87,7 +86,6 @@ Multiple cameras are contributing to the low frequencies and only the best one c
" - auto: Use half float if all values can fit, else use full float.",
values=EXR_STORAGE_DATA_TYPE,
value="float",
exclusive=True,
),
desc.ChoiceParam(
name="overlayType",
@ -99,7 +97,6 @@ Multiple cameras are contributing to the low frequencies and only the best one c
" - all: display borders and seams.",
value="none",
values=["none", "borders", "seams", "all"],
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -108,7 +105,6 @@ Multiple cameras are contributing to the low frequencies and only the best one c
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/PanoramaEstimation.py
View file

@ -78,7 +78,6 @@ Estimate relative camera rotations between input images.
" - L2 minimization",
values=["L1_minimization", "L2_minimization"],
value="L2_minimization",
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -90,7 +89,6 @@ Estimate relative camera rotations between input images.
" - from rotation matrix",
values=["essential_matrix", "homography_matrix", "rotation_matrix"],
value="rotation_matrix",
exclusive=True,
advanced=True,
),
desc.BoolParam(
@ -164,7 +162,6 @@ Estimate relative camera rotations between input images.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/PanoramaInit.py
View file

@ -34,7 +34,6 @@ This node allows to setup the Panorama:
description="Initialize cameras.",
value="No",
values=["No", "File", "Horizontal", "Horizontal+Zenith", "Zenith+Horizontal", "Spherical"],
exclusive=True,
),
desc.File(
name="config",
@ -124,7 +123,6 @@ This node allows to setup the Panorama:
description="Add a rotation to the input XML given poses (CCW).",
value="None",
values=["None", "rotate90", "rotate180", "rotate270"],
exclusive=True,
),
desc.BoolParam(
name="debugFisheyeCircleEstimation",
@ -140,7 +138,6 @@ This node allows to setup the Panorama:
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/PanoramaMerging.py
View file

@ -37,7 +37,6 @@ Merge all inputs coming from the PanoramaCompositing node.
description="Output file type for the merged panorama.",
value="exr",
values=["jpg", "png", "tif", "exr"],
exclusive=True,
group="", # not part of allParams, as this is not a parameter for the command line
),
desc.BoolParam(
@ -57,7 +56,6 @@ Merge all inputs coming from the PanoramaCompositing node.
" - auto: Use half float if all values can fit, else use full float.\n",
values=EXR_STORAGE_DATA_TYPE,
value="float",
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -65,7 +63,6 @@ Merge all inputs coming from the PanoramaCompositing node.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/PanoramaPostProcessing.py
View file

@ -56,7 +56,6 @@ Post process the panorama.
description="The color space of the output image.",
values=COLORSPACES,
value="Linear",
exclusive=True,
),
desc.ChoiceParam(
name="compressionMethod",
@ -64,7 +63,6 @@ Post process the panorama.
description="Compression method for output EXR image.",
value="auto",
values=["none", "auto", "rle", "zip", "zips", "piz", "pxr24", "b44", "b44a", "dwaa", "dwab"],
exclusive=True,
),
desc.IntParam(
name="compressionLevel",
@ -100,7 +98,6 @@ Post process the panorama.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/PanoramaPrepareImages.py
View file

@ -28,7 +28,6 @@ Prepare images for Panorama pipeline: ensures that images orientations are coher
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/PanoramaSeams.py
View file

@ -50,7 +50,6 @@ Estimate the seams lines between the inputs to provide an optimal compositing in
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/PanoramaWarping.py
View file

@ -67,7 +67,6 @@ Compute the image warping for each input image in the panorama coordinate system
description="Colorspace in which the panorama warping will be performed.",
values=COLORSPACES,
value="Linear",
exclusive=True,
),
desc.ChoiceParam(
name="storageDataType",
@ -79,7 +78,6 @@ Compute the image warping for each input image in the panorama coordinate system
" - auto: Use half float if all values can fit, else use full float.",
values=EXR_STORAGE_DATA_TYPE,
value="float",
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -87,7 +85,6 @@ Compute the image warping for each input image in the panorama coordinate system
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/PhotometricStereo.py
View file

@ -40,7 +40,6 @@ The lighting conditions are assumed to be known.
" - 2: second order spherical harmonics.",
values=["0", "1", "2"],
value="0",
exclusive=True,
advanced=True,
),
desc.BoolParam(
@ -71,7 +70,6 @@ The lighting conditions are assumed to be known.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/PrepareDenseScene.py
View file

@ -50,7 +50,6 @@ This node export undistorted images so the depth map and texturing can be comput
description="File extension for the masks to use.",
value="png",
values=["exr", "jpg", "png"],
exclusive=True,
),
desc.ChoiceParam(
name="outputFileType",
@ -58,7 +57,6 @@ This node export undistorted images so the depth map and texturing can be comput
description="Output file type for the undistorted images.",
value="exr",
values=["jpg", "png", "tif", "exr"],
exclusive=True,
advanced=True,
),
desc.BoolParam(
@ -88,7 +86,6 @@ This node export undistorted images so the depth map and texturing can be comput
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/Publish.py
View file

@ -42,7 +42,6 @@ This node allows to copy files into a specific folder.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/RelativePoseEstimating.py
View file

@ -40,7 +40,6 @@ Estimate relative pose between each pair of views that share tracks.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/SelectConnectedViews.py
View file

@ -51,7 +51,6 @@ Select Connected Views based on SfM landmarks.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/SfMAlignment.py
View file

@ -48,7 +48,6 @@ The alignment can be based on:
" - from_landmarks: Align from matched features.\n",
value="from_cameras_viewid",
values=["from_cameras_viewid", "from_cameras_poseid", "from_cameras_filepath", "from_cameras_metadata", "from_markers", 'from_landmarks'],
exclusive=True,
),
desc.StringParam(
name="fileMatchingPattern",
@ -100,7 +99,6 @@ The alignment can be based on:
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/SfMDistances.py
View file

@ -24,7 +24,6 @@ class SfMDistances(desc.AVCommandLineNode):
description="",
value="landmarks",
values=["landmarks", "cameras"],
exclusive=True,
),
desc.ChoiceParam(
name="landmarksDescriberTypes",
@ -57,7 +56,6 @@ class SfMDistances(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/SfMMerge.py
View file

@ -61,7 +61,6 @@ Merges two SfMData files into a single one. Fails if some UID is shared among th
" - from_landmarks: Align from matched features, try to fuse.\n",
value="simple_copy",
values=["simple_copy", 'from_landmarks'],
exclusive=True,
),
desc.ListAttribute(
elementDesc=desc.File(
@ -89,7 +88,6 @@ Merges two SfMData files into a single one. Fails if some UID is shared among th
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/SfMSplitReconstructed.py
View file

@ -28,7 +28,6 @@ class SfMSplitReconstructed(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/SfMToRig.py
View file

@ -27,7 +27,6 @@ Assumes the input SfMData describes a set of cameras capturing a scene at a comm
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/SfMTransfer.py
View file

@ -38,7 +38,6 @@ This node allows to transfer poses and/or intrinsics form one SfM scene onto ano
" - from_intrinsicid: Copy intrinsics parameters.\n",
value="from_viewid",
values=["from_viewid", "from_filepath", "from_metadata", "from_intrinsicid"],
exclusive=True,
),
desc.StringParam(
name="fileMatchingPattern",
@ -91,7 +90,6 @@ This node allows to transfer poses and/or intrinsics form one SfM scene onto ano
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/SfMTransform.py
View file

@ -50,7 +50,6 @@ The transformation can be based on:
" - align_ground: Defines ground level from the point cloud density. It assumes that the scene is oriented.",
value="auto",
values=["transformation", "manual", "auto", "auto_from_cameras", "auto_from_cameras_x_axis", "auto_from_landmarks", "from_single_camera", "from_center_camera", "from_markers", "from_gps", "from_lineup", "align_ground"],
exclusive=True,
),
desc.File(
name="lineUp",
@ -248,7 +247,6 @@ The transformation can be based on:
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

2
meshroom/nodes/aliceVision/SfMTriangulation.py
View file

@ -126,7 +126,6 @@ Contrary to the StructureFromMotion node, this node does not infer the camera po
description="Extension of the intermediate file export.",
value=".abc",
values=[".abc", ".ply"],
exclusive=True,
invalidate=False,
advanced=True,
),
@ -136,7 +135,6 @@ Contrary to the StructureFromMotion node, this node does not infer the camera po
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/SfmBootstraping.py
View file

@ -37,7 +37,6 @@ class SfMBootStraping(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/SfmExpanding.py
View file

@ -153,7 +153,6 @@ class SfMExpanding(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/aliceVision/SketchfabUpload.py
View file

@ -101,7 +101,6 @@ Upload a textured mesh on Sketchfab.
"CC Attribution-NonCommercial",
"CC Attribution-NonCommercial-ShareAlike",
"CC Attribution-NonCommercial-NoDerivs"],
exclusive=True,
),
desc.ListAttribute(
elementDesc=desc.StringParam(
@ -139,7 +138,6 @@ Upload a textured mesh on Sketchfab.
"science-technology",
"sports-fitness",
"weapons-military"],
exclusive=True,
),
desc.BoolParam(
name="isPublished",
@ -171,7 +169,6 @@ Upload a textured mesh on Sketchfab.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/SphereDetection.py
View file

@ -76,7 +76,6 @@ Spheres can be automatically detected or manually defined in the interface.
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

6
meshroom/nodes/aliceVision/Split360Images.py
View file

@ -40,7 +40,6 @@ class Split360Images(desc.AVCommandLineNode):
description="Split mode (equirectangular, dualfisheye).",
value="equirectangular",
values=["equirectangular", "dualfisheye"],
exclusive=True,
),
desc.GroupAttribute(
name="dualFisheyeGroup",
@ -55,7 +54,6 @@ class Split360Images(desc.AVCommandLineNode):
description="Dual-Fisheye X offset preset.",
value="center",
values=["center", "left", "right"],
exclusive=True,
),
desc.ChoiceParam(
name="dualFisheyeOffsetPresetY",
@ -63,7 +61,6 @@ class Split360Images(desc.AVCommandLineNode):
description="Dual-Fisheye Y offset preset.",
value="center",
values=["center", "top", "bottom"],
exclusive=True,
),
desc.ChoiceParam(
name="dualFisheyeCameraModel",
@ -71,7 +68,6 @@ class Split360Images(desc.AVCommandLineNode):
description="Dual-Fisheye camera model.",
value="fisheye4",
values=["fisheye4", "equidistant_r3"],
exclusive=True,
),
],
),
@ -117,7 +113,6 @@ class Split360Images(desc.AVCommandLineNode):
description="Output image file extension.",
value="",
values=["", "exr", "jpg", "tiff", "png"],
exclusive=True,
),
desc.ChoiceParam(
name="verboseLevel",
@ -125,7 +120,6 @@ class Split360Images(desc.AVCommandLineNode):
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

4
meshroom/nodes/aliceVision/StructureFromMotion.py
View file

@ -112,7 +112,6 @@ It iterates like that, adding cameras and triangulating new 2D features into 3D
description="Estimator type used to localize cameras (acransac, ransac, lsmeds, loransac, maxconsensus).",
value="acransac",
values=["acransac", "ransac", "lsmeds", "loransac", "maxconsensus"],
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -123,7 +122,6 @@ It iterates like that, adding cameras and triangulating new 2D features into 3D
" - Scale: Use reprojection error in pixel coordinates but relative to the feature scale.",
value="Scale",
values=["Basic", "Scale"],
exclusive=True,
advanced=True,
),
desc.IntParam(
@ -353,7 +351,6 @@ It iterates like that, adding cameras and triangulating new 2D features into 3D
description="Extension of the intermediate file export.",
value=".abc",
values=[".abc", ".ply"],
exclusive=True,
invalidate=False,
advanced=True,
),
@ -371,7 +368,6 @@ It iterates like that, adding cameras and triangulating new 2D features into 3D
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

13
meshroom/nodes/aliceVision/Texturing.py
View file

@ -64,7 +64,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Output texture size.",
value=8192,
values=[1024, 2048, 4096, 8192, 16384],
exclusive=True,
),
desc.ChoiceParam(
name="downscale",
@ -72,7 +71,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Texture downscale factor.",
value=2,
values=[1, 2, 4, 8],
exclusive=True,
),
desc.ChoiceParam(
name="outputMeshFileType",
@ -80,7 +78,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="File type for the mesh output.",
value="obj",
values=["obj", "gltf", "fbx", "stl"],
exclusive=True,
),
desc.GroupAttribute(
name="colorMapping",
@ -103,7 +100,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Texture file type.",
value="exr",
values=["exr", "png", "tiff", "jpg"],
exclusive=True,
enabled=lambda node: node.colorMapping.enable.value,
),
],
@ -129,7 +125,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Export normal map or height map.",
value="Normal",
values=["Height", "Normal"],
exclusive=True,
enabled=lambda node: node.bumpMapping.enable.value,
),
desc.ChoiceParam(
@ -138,7 +133,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="File type for the normal map texture.",
value="exr",
values=["exr", "png", "tiff", "jpg"],
exclusive=True,
enabled=lambda node: node.bumpMapping.enable.value and node.bumpMapping.bumpType.value == "Normal",
),
desc.ChoiceParam(
@ -147,7 +141,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="File type for the height map texture.",
value="exr",
values=["exr",],
exclusive=True,
enabled=lambda node: node.bumpMapping.enable.value and node.bumpMapping.bumpType.value == "Height",
),
],
@ -173,7 +166,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="File type for the height map texture.",
value="exr",
values=["exr"],
exclusive=True,
enabled=lambda node: node.displacementMapping.enable.value,
),
],
@ -187,7 +179,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
" - ABF (<= 300k faces): optimize space and stretch. Generates one atlas.",
value="Basic",
values=["Basic", "LSCM", "ABF"],
exclusive=True,
),
desc.BoolParam(
name="useUDIM",
@ -282,7 +273,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Color space for the texturing internal computation (does not impact the output file color space).",
values=COLORSPACES,
value="sRGB",
exclusive=True,
advanced=True,
),
desc.ChoiceParam(
@ -291,7 +281,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Color space for the output texture files.",
values=COLORSPACES,
value="AUTO",
exclusive=True,
),
desc.BoolParam(
name="correctEV",
@ -320,7 +309,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Method to remap visibilities from the reconstruction to the input mesh (Pull, Push, PullPush, MeshItself).",
value="PullPush",
values=["Pull", "Push", "PullPush", "MeshItself"],
exclusive=True,
advanced=True,
),
desc.FloatParam(
@ -340,7 +328,6 @@ Many cameras are contributing to the low frequencies and only the best ones cont
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

1
meshroom/nodes/aliceVision/TracksBuilding.py
View file

@ -81,7 +81,6 @@ It fuses all feature matches between image pairs into tracks. Each track represe
description="Verbosity level (fatal, error, warning, info, debug, trace).",
values=VERBOSE_LEVEL,
value="info",
exclusive=True,
),
]

3
meshroom/nodes/blender/ScenePreview.py
View file

@ -95,7 +95,6 @@ One frame per viewpoint will be rendered, and the undistorted views can optional
description="Color of particles used for the point cloud.",
value="Red",
values=["Grey", "White", "Red", "Green", "Magenta"],
exclusive=True,
),
],
),
@ -112,7 +111,6 @@ One frame per viewpoint will be rendered, and the undistorted views can optional
description="Shading method for visualizing the mesh.",
value="wireframe",
values=["wireframe", "line_art"],
exclusive=True,
),
desc.ChoiceParam(
name="edgeColor",
@ -120,7 +118,6 @@ One frame per viewpoint will be rendered, and the undistorted views can optional
description="Color of the mesh edges.",
value="Red",
values=["Grey", "White", "Red", "Green", "Magenta"],
exclusive=True,
),
],
),