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[multiview] add arguments to directly provide input images to the pipeline

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This commit is contained in:
Fabien Castan 2017-10-31 10:48:06 +01:00
parent 46f6865a25
commit 2e035d5a7a
2 changed files with 5 additions and 6 deletions
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5
bin/meshroom_photogrammetry
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@ -27,10 +27,7 @@ if not args.output and not args.save:
print('Nothing to do. You need to set --output or --save.') print('Nothing to do. You need to set --output or --save.')
exit(1) exit(1)
graph = multiview.photogrammetryPipeline() graph = multiview.photogrammetryPipeline(inputFolder=args.input)
if args.input:
cameraInit = graph.findNode("CameraInit")
cameraInit.imageDirectory.value = args.input
if args.save: if args.save:
graph.save(args.save) graph.save(args.save)

6
meshroom/multiview.py
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@ -3,10 +3,12 @@ import os
from .core.graph import Graph from .core.graph import Graph
def photogrammetryPipeline(): def photogrammetryPipeline(inputFolder='', inputImages=[], inputViewpoints=[]):
# type: () -> Graph # type: () -> Graph
graph = Graph('pipeline') graph = Graph('pipeline')
cameraInit = graph.addNewNode('CameraInit') cameraInit = graph.addNewNode('CameraInit', imageDirectory=inputFolder)
cameraInit.viewpoints.value = [{'image': image, 'focal': -1} for image in inputImages]
cameraInit.viewpoints.extend(inputViewpoints)
featureExtraction = graph.addNewNode('FeatureExtraction', featureExtraction = graph.addNewNode('FeatureExtraction',
input=cameraInit.outputSfm) input=cameraInit.outputSfm)
imageMatching = graph.addNewNode('ImageMatching', imageMatching = graph.addNewNode('ImageMatching',