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[multiview] New pipeline Photogrammetry and Camera Tracking

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This commit is contained in:
Fabien Castan 2021-05-27 17:02:39 +02:00
parent 48ed0a82fb
commit 1999b7c5b2
4 changed files with 71 additions and 22 deletions
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55
meshroom/multiview.py
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@ -472,7 +472,7 @@ def sfmAugmentation(graph, sourceSfm, withMVS=False):
return sfmNodes, mvsNodes
def cameraTrackingPipeline(graph):
def cameraTrackingPipeline(graph, sourceSfm=None):
"""
Instantiate a camera tracking pipeline inside 'graph'.
@ -484,30 +484,33 @@ def cameraTrackingPipeline(graph):
"""
with GraphModification(graph):
cameraInit, featureExtraction, imageMatching, featureMatching, structureFromMotion = sfmPipeline(graph)
if sourceSfm is None:
cameraInitT, featureExtractionT, imageMatchingT, featureMatchingT, structureFromMotionT = sfmPipeline(graph)
else:
sfmNodes, _ = sfmAugmentation(graph, sourceSfm)
cameraInitT, featureExtractionT, imageMatchingT, featureMatchingT, structureFromMotionT = sfmNodes
imageMatching.attribute("nbMatches").value = 5 # voctree nb matches
imageMatching.attribute("nbNeighbors").value = 10
imageMatchingT.attribute("nbMatches").value = 5 # voctree nb matches
imageMatchingT.attribute("nbNeighbors").value = 10
structureFromMotion.attribute("minNumberOfMatches").value = 0
structureFromMotion.attribute("minInputTrackLength").value = 5
structureFromMotion.attribute("minNumberOfObservationsForTriangulation").value = 3
structureFromMotion.attribute("minAngleForTriangulation").value = 1.0
structureFromMotion.attribute("minAngleForLandmark").value = 0.5
structureFromMotionT.attribute("minNumberOfMatches").value = 0
structureFromMotionT.attribute("minInputTrackLength").value = 5
structureFromMotionT.attribute("minNumberOfObservationsForTriangulation").value = 3
structureFromMotionT.attribute("minAngleForTriangulation").value = 1.0
structureFromMotionT.attribute("minAngleForLandmark").value = 0.5
exportAnimatedCamera = graph.addNewNode('ExportAnimatedCamera', input=structureFromMotion.output)
exportAnimatedCameraT = graph.addNewNode('ExportAnimatedCamera', input=structureFromMotionT.output)
# store current pipeline version in graph header
graph.header.update({'pipelineVersion': __version__})
return [
cameraInit,
featureExtraction,
imageMatching,
featureMatching,
structureFromMotion,
exportAnimatedCamera,
cameraInitT,
featureExtractionT,
imageMatchingT,
featureMatchingT,
structureFromMotionT,
exportAnimatedCameraT,
]
@ -527,3 +530,21 @@ def cameraTracking(inputImages=list(), inputViewpoints=list(), inputIntrinsics=l
return graph
def photogrammetryAndCameraTracking(inputImages=list(), inputViewpoints=list(), inputIntrinsics=list(), output='', graph=None):
if not graph:
graph = Graph('Photogrammetry And Camera Tracking')
with GraphModification(graph):
cameraInit, featureExtraction, imageMatching, featureMatching, structureFromMotion = sfmPipeline(graph)
cameraInitT, featureExtractionT, imageMatchingMultiT, featureMatchingT, structureFromMotionT, exportAnimatedCameraT = cameraTrackingPipeline(graph, structureFromMotion)
cameraInit.viewpoints.extend([{'path': image} for image in inputImages])
cameraInit.viewpoints.extend(inputViewpoints)
cameraInit.intrinsics.extend(inputIntrinsics)
if output:
graph.addNewNode('Publish', output=output, inputFiles=[exportAnimatedCameraT.output])
return graph