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[multiview] split pipeline creation into several functions
* add 'sfmPipeline', 'mvsPipeline' and 'photogrammetryPipeline' instantiating nodes in an existing graph * rename main function (creating a new Graph) 'photogrammetry' + create a Publish node if 'output' is specified
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4 changed files with 121 additions and 43 deletions
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@ -43,7 +43,7 @@ if not args.input and not args.inputImages:
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print('Nothing to compute. You need to set --input or --inputImages.')
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exit(1)
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graph = multiview.photogrammetryPipeline(output=args.output, inputFolder=args.input, inputImages=args.inputImages)
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graph = multiview.photogrammetry(inputFolder=args.input, inputImages=args.inputImages, output=args.output)
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graph.findNode('PrepareDenseScene').scale.value = args.scale
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if args.save:
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@ -2,7 +2,7 @@ import os
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import fnmatch
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import re
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from .core.graph import Graph, GraphModification
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from meshroom.core.graph import Graph, GraphModification
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def findFiles(folder, patterns):
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@ -17,11 +17,23 @@ def findFiles(folder, patterns):
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return outFiles
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def photogrammetryPipeline(output='', inputFolder='', inputImages=[], inputViewpoints=[]):
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# type: () -> Graph
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graph = Graph('pipeline')
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def photogrammetry(inputFolder='', inputImages=(), inputViewpoints=(), output=''):
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"""
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Create a new Graph with a complete photogrammetry pipeline.
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Args:
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inputFolder (str, optional): folder containing image files
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inputImages (list of str, optional): list of image file paths
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inputViewpoints (list of Viewpoint, optional): list of Viewpoints
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output (str, optional): the path to export reconstructed model to
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Returns:
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Graph: the created graph
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"""
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graph = Graph('Photogrammetry')
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with GraphModification(graph):
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cameraInit = graph.addNewNode('CameraInit')
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sfmNodes, mvsNodes = photogrammetryPipeline(graph)
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cameraInit = sfmNodes[0]
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if inputFolder:
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images = findFiles(inputFolder, ['*.jpg', '*.png'])
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cameraInit.viewpoints.extend([{'path': image} for image in images])
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@ -29,6 +41,42 @@ def photogrammetryPipeline(output='', inputFolder='', inputImages=[], inputViewp
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cameraInit.viewpoints.extend([{'path': image} for image in inputImages])
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if inputViewpoints:
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cameraInit.viewpoints.extend(inputViewpoints)
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if output:
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texturing = mvsNodes[-1]
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graph.addNewNode('Publish', output=output, inputFiles=[texturing.outputMesh,
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texturing.outputMaterial,
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texturing.outputTextures])
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return graph
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def photogrammetryPipeline(graph):
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"""
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Instantiate a complete photogrammetry pipeline inside 'graph'.
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Args:
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graph (Graph/UIGraph): the graph in which nodes should be instantiated
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Returns:
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list of Node: the created nodes
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"""
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sfmNodes = sfmPipeline(graph)
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mvsNodes = mvsPipeline(graph, sfmNodes[-1])
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return sfmNodes, mvsNodes
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def sfmPipeline(graph):
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"""
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Instantiate a SfM pipeline inside 'graph'.
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Args:
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graph (Graph/UIGraph): the graph in which nodes should be instantiated
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Returns:
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list of Node: the created nodes
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"""
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cameraInit = graph.addNewNode('CameraInit')
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featureExtraction = graph.addNewNode('FeatureExtraction',
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input=cameraInit.output)
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imageMatching = graph.addNewNode('ImageMatching',
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@ -43,8 +91,31 @@ def photogrammetryPipeline(output='', inputFolder='', inputImages=[], inputViewp
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input=featureMatching.input,
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featuresFolder=featureMatching.featuresFolder,
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matchesFolder=featureMatching.output)
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return [
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cameraInit,
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featureExtraction,
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imageMatching,
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featureMatching,
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structureFromMotion
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]
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def mvsPipeline(graph, sfm=None):
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"""
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Instantiate a MVS pipeline inside 'graph'.
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Args:
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graph (Graph/UIGraph): the graph in which nodes should be instantiated
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sfm (Node, optional): if specified, connect the MVS pipeline to this StructureFromMotion node
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Returns:
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list of Node: the created nodes
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"""
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if sfm and not sfm.nodeType == "StructureFromMotion":
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raise ValueError("Invalid node type. Expected StructureFromMotion, got {}.".format(sfm.nodeType))
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prepareDenseScene = graph.addNewNode('PrepareDenseScene',
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input=structureFromMotion.output)
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input=sfm.output if sfm else "")
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cameraConnection = graph.addNewNode('CameraConnection',
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ini=prepareDenseScene.ini)
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depthMap = graph.addNewNode('DepthMap',
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@ -59,5 +130,12 @@ def photogrammetryPipeline(output='', inputFolder='', inputImages=[], inputViewp
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texturing = graph.addNewNode('Texturing',
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ini=meshing.ini,
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inputDenseReconstruction=meshing.outputDenseReconstruction)
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return graph
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return [
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prepareDenseScene,
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cameraConnection,
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depthMap,
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depthMapFilter,
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meshing,
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texturing
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]
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@ -170,7 +170,7 @@ class Reconstruction(UIGraph):
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@Slot()
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def new(self):
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""" Create a new photogrammetry pipeline. """
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self.setGraph(multiview.photogrammetryPipeline())
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self.setGraph(multiview.photogrammetry())
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def onGraphChanged(self):
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""" React to the change of the internal graph. """
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@ -4,15 +4,15 @@ import meshroom.multiview
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def test_multiviewPipeline():
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graph1 = meshroom.multiview.photogrammetryPipeline(inputImages=['/non/existing/fileA'])
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graph2 = meshroom.multiview.photogrammetryPipeline(inputImages=[])
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graph2b = meshroom.multiview.photogrammetryPipeline(inputImages=[])
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graph3 = meshroom.multiview.photogrammetryPipeline(inputImages=['/non/existing/file1', '/non/existing/file2'])
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graph4 = meshroom.multiview.photogrammetryPipeline(inputViewpoints=[
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graph1 = meshroom.multiview.photogrammetry(inputImages=['/non/existing/fileA'])
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graph2 = meshroom.multiview.photogrammetry(inputImages=[])
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graph2b = meshroom.multiview.photogrammetry(inputImages=[])
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graph3 = meshroom.multiview.photogrammetry(inputImages=['/non/existing/file1', '/non/existing/file2'])
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graph4 = meshroom.multiview.photogrammetry(inputViewpoints=[
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{'path': '/non/existing/file1', 'intrinsicId': 50},
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{'path': '/non/existing/file2', 'intrinsicId': 55}
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])
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graph4b = meshroom.multiview.photogrammetryPipeline(inputViewpoints=[
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graph4b = meshroom.multiview.photogrammetry(inputViewpoints=[
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{'path': '/non/existing/file1', 'intrinsicId': 50},
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{'path': '/non/existing/file2', 'intrinsicId': 55}
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])
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