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62 lines
3 KiB
Python
62 lines
3 KiB
Python
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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def findFiles(folder, patterns):
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rules = [re.compile(fnmatch.translate(pattern), re.IGNORECASE) for pattern in patterns]
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outFiles = []
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for name in os.listdir(folder):
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for rule in rules:
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if rule.match(name):
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filepath = os.path.join(folder, name)
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outFiles.append(filepath)
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break
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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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with GraphModification(graph):
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cameraInit = graph.addNewNode('CameraInit')
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if inputFolder:
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images = findFiles(inputFolder, ['*.jpg', '*.png'])
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cameraInit.viewpoints.extend([{'image': image} for image in images])
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if inputImages:
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cameraInit.viewpoints.extend([{'image': image} for image in inputImages])
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if inputViewpoints:
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cameraInit.viewpoints.extend(inputViewpoints)
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featureExtraction = graph.addNewNode('FeatureExtraction',
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input=cameraInit.outputSfm)
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imageMatching = graph.addNewNode('ImageMatching',
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input=featureExtraction.input,
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featuresDirectory=featureExtraction.output,
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)
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featureMatching = graph.addNewNode('FeatureMatching',
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input=imageMatching.input,
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featuresDirectory=imageMatching.featuresDirectory,
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imagePairsList=imageMatching.output)
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structureFromMotion = graph.addNewNode('StructureFromMotion',
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input=featureMatching.input,
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featuresDirectory=featureMatching.featuresDirectory,
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matchesDirectory=featureMatching.output)
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prepareDenseScene = graph.addNewNode('PrepareDenseScene',
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input=structureFromMotion.output)
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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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ini=cameraConnection.ini)
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depthMapFilter = graph.addNewNode('DepthMapFilter',
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ini=depthMap.ini)
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meshing = graph.addNewNode('Meshing',
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ini=depthMapFilter.ini)
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texturing = graph.addNewNode('Texturing',
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ini=meshing.ini)
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publish = graph.addNewNode('Publish',
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inputFiles=[texturing.outputMesh, texturing.outputMaterial, texturing.outputTextures],
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output=output)
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return graph
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