mirror of
https://github.com/alicevision/Meshroom.git
synced 2025-05-21 04:56:28 +02:00
[nodes] add node categories
This commit is contained in:
ChemicalXandco
parent
3d33134ca9
commit
e18f815af9
47 changed files with 58 additions and 10 deletions
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@ -6,6 +6,8 @@ from meshroom.core import desc
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class CameraCalibration(desc.CommandLineNode):
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commandLine = 'aliceVision_cameraCalibration {allParams}'
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category = 'Utils'
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inputs = [
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desc.File(
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name='input',
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@ -116,6 +116,7 @@ class CameraInit(desc.CommandLineNode):
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size = desc.DynamicNodeSize('viewpoints')
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category = 'Sparse Reconstruction'
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documentation = '''
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This node describes your dataset. It lists the Viewpoints candidates, the guess about the type of optic, the initial focal length
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and which images are sharing the same internal camera parameters, as well as potential cameras rigs.
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@ -7,6 +7,8 @@ from meshroom.core import desc
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class CameraLocalization(desc.CommandLineNode):
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commandLine = 'aliceVision_cameraLocalization {allParams}'
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category = 'Utils'
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inputs = [
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desc.File(
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name='sfmdata',
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@ -7,6 +7,8 @@ from meshroom.core import desc
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class CameraRigCalibration(desc.CommandLineNode):
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commandLine = 'aliceVision_rigCalibration {allParams}'
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category = 'Utils'
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inputs = [
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desc.File(
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name='sfmdata',
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@ -7,6 +7,8 @@ from meshroom.core import desc
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class CameraRigLocalization(desc.CommandLineNode):
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commandLine = 'aliceVision_rigLocalization {allParams}'
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category = 'Utils'
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inputs = [
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desc.File(
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name='sfmdata',
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@ -5,6 +5,8 @@ from meshroom.core import desc
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class ConvertMesh(desc.CommandLineNode):
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commandLine = 'aliceVision_convertMesh {allParams}'
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category = 'Utils'
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documentation = '''This node allows to convert a mesh to another format.'''
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inputs = [
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@ -7,6 +7,7 @@ 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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@ -10,6 +10,7 @@ class DepthMap(desc.CommandLineNode):
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parallelization = desc.Parallelization(blockSize=3)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Dense Reconstruction'
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documentation = '''
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For each camera that have been estimated by the Structure-From-Motion, it estimates the depth value per pixel.
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@ -10,6 +10,7 @@ class DepthMapFilter(desc.CommandLineNode):
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parallelization = desc.Parallelization(blockSize=10)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Dense Reconstruction'
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documentation = '''
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Filter depth map values that are not coherent in multiple depth maps.
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This allows to filter unstable points before starting the fusion of all depth maps in the Meshing node.
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@ -6,6 +6,7 @@ from meshroom.core import desc
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class ExportAnimatedCamera(desc.CommandLineNode):
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commandLine = 'aliceVision_exportAnimatedCamera {allParams}'
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category = 'Export'
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documentation = '''
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Convert cameras from an SfM scene into an animated cameras in Alembic file format.
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Based on the input image filenames, it will recognize the input video sequence to create an animated camera.
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@ -6,6 +6,8 @@ from meshroom.core import desc
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class ExportColoredPointCloud(desc.CommandLineNode):
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commandLine = 'aliceVision_exportColoredPointCloud {allParams}'
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category = 'Export'
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inputs = [
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desc.File(
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name='input',
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@ -7,6 +7,8 @@ class ExportMatches(desc.CommandLineNode):
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commandLine = 'aliceVision_exportMatches {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Export'
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inputs = [
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desc.File(
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name='input',
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@ -6,6 +6,7 @@ from meshroom.core import desc
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class ExportMaya(desc.CommandLineNode):
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commandLine = 'aliceVision_exportMeshroomMaya {allParams}'
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category = 'Export'
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documentation = '''
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Export a scene for Autodesk Maya, with an Alembic file describing the SfM: cameras and 3D points.
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It will export half-size undistorted images to use as image planes for cameras and also export thumbnails.
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@ -9,6 +9,7 @@ class FeatureExtraction(desc.CommandLineNode):
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parallelization = desc.Parallelization(blockSize=40)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Sparse Reconstruction'
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documentation = '''
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This node extracts distinctive groups of pixels that are, to some extent, invariant to changing camera viewpoints during image acquisition.
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Hence, a feature in the scene should have similar feature descriptions in all images.
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@ -9,6 +9,7 @@ class FeatureMatching(desc.CommandLineNode):
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parallelization = desc.Parallelization(blockSize=20)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Sparse Reconstruction'
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documentation = '''
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This node performs the matching of all features between the candidate image pairs.
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@ -9,7 +9,9 @@ class FeatureRepeatability(desc.CommandLineNode):
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# parallelization = desc.Parallelization(blockSize=40)
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# commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Utils'
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documentation = '''
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Compare feature/descriptor matching repeatability on some dataset with known homography motions.
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'''
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inputs = [
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@ -10,6 +10,7 @@ class GlobalSfM(desc.CommandLineNode):
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commandLine = 'aliceVision_globalSfM {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Sparse Reconstruction'
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documentation = '''
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Performs the Structure-From-Motion with a global approach.
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It is known to be faster but less robust to challenging datasets than the Incremental approach.
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@ -8,6 +8,7 @@ class ImageMatching(desc.CommandLineNode):
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commandLine = 'aliceVision_imageMatching {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Sparse Reconstruction'
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documentation = '''
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The goal of this node is to select the image pairs to match. The ambition is to find the images that are looking to the same areas of the scene.
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Thanks to this node, the FeatureMatching node will only compute the matches between the selected image pairs.
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@ -9,6 +9,7 @@ class ImageMatchingMultiSfM(desc.CommandLineNode):
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# use both SfM inputs to define Node's size
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size = desc.MultiDynamicNodeSize(['input', 'inputB'])
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category = 'Sparse Reconstruction'
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documentation = '''
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The goal of this node is to select the image pairs to match in the context of an SfM augmentation.
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The ambition is to find the images that are looking to the same areas of the scene.
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@ -34,6 +34,7 @@ class ImageProcessing(desc.CommandLineNode):
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# parallelization = desc.Parallelization(blockSize=40)
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# commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Utils'
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documentation = '''
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Convert or apply filtering to the input images.
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'''
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@ -7,6 +7,7 @@ from meshroom.core import desc
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class KeyframeSelection(desc.CommandLineNode):
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commandLine = 'aliceVision_utils_keyframeSelection {allParams}'
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category = 'Utils'
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documentation = '''
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Allows to extract keyframes from a video and insert metadata.
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It can extract frames from a synchronized multi-cameras rig.
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@ -26,10 +26,10 @@ def findMetadata(d, keys, defaultValue):
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class LdrToHdrCalibration(desc.CommandLineNode):
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commandLine = 'aliceVision_LdrToHdrCalibration {allParams}'
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size = desc.DynamicNodeSize('input')
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cpu = desc.Level.INTENSIVE
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ram = desc.Level.NORMAL
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category = 'Panorama HDR'
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documentation = '''
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Calibrate LDR to HDR response curve from samples
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'''
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@ -28,6 +28,7 @@ class LdrToHdrMerge(desc.CommandLineNode):
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parallelization = desc.Parallelization(blockSize=2)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Panorama HDR'
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documentation = '''
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Calibrate LDR to HDR response curve from samples
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'''
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@ -45,6 +45,7 @@ class LdrToHdrSampling(desc.CommandLineNode):
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parallelization = desc.Parallelization(blockSize=2)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Panorama HDR'
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documentation = '''
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Sample pixels from Low range images for HDR creation
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'''
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@ -6,6 +6,8 @@ from meshroom.core import desc
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class LightingEstimation(desc.CommandLineNode):
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commandLine = 'aliceVision_utils_lightingEstimation {allParams}'
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category = 'Utils'
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inputs = [
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desc.File(
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name='input',
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@ -5,6 +5,8 @@ from meshroom.core import desc
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class MergeMeshes(desc.CommandLineNode):
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commandLine = 'aliceVision_utils_mergeMeshes {allParams}'
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category = 'Utils'
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documentation = '''
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This node allows to merge two meshes in one.
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@ -5,10 +5,10 @@ from meshroom.core import desc
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class MeshDecimate(desc.CommandLineNode):
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commandLine = 'aliceVision_meshDecimate {allParams}'
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cpu = desc.Level.NORMAL
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ram = desc.Level.NORMAL
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category = 'Mesh Post-Processing'
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documentation = '''
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This node allows to reduce the density of the Mesh.
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'''
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@ -6,6 +6,7 @@ from meshroom.core import desc
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class MeshDenoising(desc.CommandLineNode):
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commandLine = 'aliceVision_meshDenoising {allParams}'
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category = 'Mesh Post-Processing'
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documentation = '''
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This experimental node allows to reduce noise from a Mesh.
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for now, the parameters are difficult to control and vary a lot from one dataset to another.
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@ -5,6 +5,8 @@ from meshroom.core import desc
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class MeshFiltering(desc.CommandLineNode):
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commandLine = 'aliceVision_meshFiltering {allParams}'
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category = 'Dense Reconstruction'
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documentation = '''
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This node applies a Laplacian filtering to remove local defects from the raw Meshing cut.
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'''
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@ -5,10 +5,10 @@ from meshroom.core import desc
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class MeshResampling(desc.CommandLineNode):
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commandLine = 'aliceVision_meshResampling {allParams}'
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cpu = desc.Level.NORMAL
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ram = desc.Level.NORMAL
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category = 'Mesh Post-Processing'
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documentation = '''
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This node allows to recompute the mesh surface with a new topology and uniform density.
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'''
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@ -9,6 +9,7 @@ class Meshing(desc.CommandLineNode):
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cpu = desc.Level.INTENSIVE
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ram = desc.Level.INTENSIVE
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category = 'Dense Reconstruction'
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documentation = '''
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This node creates a dense geometric surface representation of the scene.
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@ -9,13 +9,12 @@ from meshroom.core import desc
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class PanoramaCompositing(desc.CommandLineNode):
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commandLine = 'aliceVision_panoramaCompositing {allParams}'
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size = desc.DynamicNodeSize('input')
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parallelization = desc.Parallelization(blockSize=5)
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commandLineRange = '--rangeIteration {rangeIteration} --rangeSize {rangeBlockSize}'
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cpu = desc.Level.INTENSIVE
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ram = desc.Level.INTENSIVE
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category = 'Panorama HDR'
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documentation = '''
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Once the images have been transformed geometrically (in PanoramaWarping),
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they have to be fused together in a single panorama image which looks like a single photography.
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@ -10,6 +10,7 @@ class PanoramaEstimation(desc.CommandLineNode):
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commandLine = 'aliceVision_panoramaEstimation {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Panorama HDR'
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documentation = '''
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Estimate relative camera rotations between input images.
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'''
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@ -7,6 +7,7 @@ class PanoramaInit(desc.CommandLineNode):
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commandLine = 'aliceVision_panoramaInit {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Panorama HDR'
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documentation = '''
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This node allows to setup the Panorama:
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@ -9,11 +9,10 @@ from meshroom.core import desc
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class PanoramaMerging(desc.CommandLineNode):
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commandLine = 'aliceVision_panoramaMerging {allParams}'
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size = desc.DynamicNodeSize('input')
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cpu = desc.Level.NORMAL
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ram = desc.Level.INTENSIVE
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category = 'Panorama HDR'
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documentation = '''
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Merge all inputs coming from PanoramaComposiring
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'''
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@ -9,6 +9,7 @@ class PanoramaPrepareImages(desc.CommandLineNode):
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commandLine = 'aliceVision_panoramaPrepareImages {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Panorama HDR'
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documentation = '''
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Prepare images for Panorama pipeline: ensures that images orientations are coherent.
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'''
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@ -9,10 +9,10 @@ from meshroom.core import desc
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class PanoramaSeams(desc.CommandLineNode):
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commandLine = 'aliceVision_panoramaSeams {allParams}'
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size = desc.DynamicNodeSize('input')
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cpu = desc.Level.INTENSIVE
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ram = desc.Level.INTENSIVE
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category = 'Panorama HDR'
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documentation = '''
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Estimate the seams lines between the inputs to provide an optimal compositing in a further node
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'''
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@ -9,10 +9,10 @@ from meshroom.core import desc
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class PanoramaWarping(desc.CommandLineNode):
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commandLine = 'aliceVision_panoramaWarping {allParams}'
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size = desc.DynamicNodeSize('input')
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parallelization = desc.Parallelization(blockSize=5)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Panorama HDR'
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documentation = '''
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Compute the image warping for each input image in the panorama coordinate system.
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'''
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@ -9,6 +9,7 @@ class PrepareDenseScene(desc.CommandLineNode):
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parallelization = desc.Parallelization(blockSize=40)
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commandLineRange = '--rangeStart {rangeStart} --rangeSize {rangeBlockSize}'
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category = 'Dense Reconstruction'
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documentation = '''
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This node export undistorted images so the depth map and texturing can be computed on Pinhole images without distortion.
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'''
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@ -11,6 +11,7 @@ import os
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class Publish(desc.Node):
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size = desc.DynamicNodeSize('inputFiles')
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category = 'Export'
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documentation = '''
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This node allows to copy files into a specific folder.
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'''
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@ -9,6 +9,7 @@ class SfMAlignment(desc.CommandLineNode):
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commandLine = 'aliceVision_utils_sfmAlignment {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Utils'
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documentation = '''
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This node allows to change the coordinate system of one SfM scene to align it on another one.
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@ -9,6 +9,7 @@ class SfMTransfer(desc.CommandLineNode):
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commandLine = 'aliceVision_utils_sfmTransfer {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Utils'
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documentation = '''
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This node allows to transfer poses and/or intrinsics form one SfM scene onto another one.
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'''
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@ -9,6 +9,7 @@ class SfMTransform(desc.CommandLineNode):
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commandLine = 'aliceVision_utils_sfmTransform {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Utils'
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documentation = '''
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This node allows to change the coordinate system of one SfM scene.
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@ -52,6 +52,7 @@ def progressUpdate(size=None, progress=None, logManager=None):
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class SketchfabUpload(desc.Node):
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size = desc.DynamicNodeSize('inputFiles')
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category = 'Export'
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documentation = '''
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Upload a textured mesh on Sketchfab.
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'''
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@ -7,6 +7,7 @@ class StructureFromMotion(desc.CommandLineNode):
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commandLine = 'aliceVision_incrementalSfM {allParams}'
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size = desc.DynamicNodeSize('input')
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category = 'Sparse Reconstruction'
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documentation = '''
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This node will analyze feature matches to understand the geometric relationship behind all the 2D observations,
|
||||
and infer the rigid scene structure (3D points) with the pose (position and orientation) and internal calibration of all cameras.
|
||||
|
|
|
|||
|
|
@ -8,6 +8,7 @@ class Texturing(desc.CommandLineNode):
|
|||
cpu = desc.Level.INTENSIVE
|
||||
ram = desc.Level.INTENSIVE
|
||||
|
||||
category = 'Dense Reconstruction'
|
||||
documentation = '''
|
||||
This node computes the texturing on the mesh.
|
||||
|
||||
|
|
|
|||
|
|
@ -228,7 +228,7 @@ Item {
|
|||
|
||||
// Dynamically add the menu categories
|
||||
Instantiator {
|
||||
model: !(searchBar.text != "") ? Object.keys(newNodeMenu.parseCategories()) : undefined
|
||||
model: !(searchBar.text != "") ? Object.keys(newNodeMenu.parseCategories()).sort() : undefined
|
||||
onObjectAdded: newNodeMenu.insertMenu(index+1, object ) // add sub-menu under the search bar
|
||||
onObjectRemoved: newNodeMenu.removeMenu(object)
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue