def panoramaFisheyeHdr(inputImages=None, inputViewpoints=None, inputIntrinsics=None, output='', graph=None):
if not graph:
graph = Graph('PanoramaFisheyeHDR')
with GraphModification(graph):
panoramaHdr(inputImages, inputViewpoints, inputIntrinsics, output, graph)
for panoramaInit in graph.nodesByType("PanoramaInit"):
panoramaInit.attribute("useFisheye").value = True
# when using fisheye images, the overlap between images can be small
# and thus requires many features to get enough correspondances for cameras estimation
for featureExtraction in graph.nodesByType("FeatureExtraction"):
featureExtraction.attribute("describerPreset").value = 'high'
return graph
def test_graph_nodes_sorting():
graph = Graph('')
ls0 = graph.addNewNode('Ls')
ls1 = graph.addNewNode('Ls')
ls2 = graph.addNewNode('Ls')
assert graph.nodesByType('Ls', sortedByIndex=True) == [ls0, ls1, ls2]
graph = Graph('')
# 'Random' creation order (what happens when loading a file)
ls2 = graph.addNewNode('Ls', name='Ls_2')
ls0 = graph.addNewNode('Ls', name='Ls_0')
ls1 = graph.addNewNode('Ls', name='Ls_1')
assert graph.nodesByType('Ls', sortedByIndex=True) == [ls0, ls1, ls2]
def panoramaFisheyeHdr(inputImages=None,
inputViewpoints=None,
inputIntrinsics=None,
output='',
graph=None):
if not graph:
graph = Graph('PanoramaFisheyeHDR')
with GraphModification(graph):
panoramaHdr(inputImages, inputViewpoints, inputIntrinsics, output,
graph)
for panoramaInit in graph.nodesByType("PanoramaInit"):
panoramaInit.attribute("useFisheye").value = True
return graph
