def test_graph_from_image(visual=False):
im = imread("segmentation.inr.gz")
graph = graph_from_image(im)
if visual:
Viewer.display(
graph2pglscene(graph, graph.vertex_property('barycenter'),
graph.vertex_property('L1')))
def test_graph_from_simple_image(visual=False):
im = np.array([[1, 2, 7, 7, 1, 1], [1, 6, 5, 7, 3, 3], [2, 2, 1, 7, 3, 3],
[1, 1, 1, 4, 1, 1]])
borders = SpatialImageAnalysis(im).cells_in_image_margins()
print '**', SpatialImageAnalysis(im).boundingbox(real=False)
#~ print borders
#~ print np.unique(im)
graph = graph_from_image(im)
#~ print list(graph.vertices())
#~ print map(graph.edge_vertices,graph.edges())
#~ print list(graph.vertex_property_names())
#~ print list(graph.edge_property_names())
for propname in graph.vertex_property_names():
print propname
print graph.vertex_property(propname)
#~ for propname in graph.edge_property_names():
#~ print propname
#~ print [(i,graph.edge_vertices(i),j) for i,j in graph.edge_property(propname).iteritems()]
if visual:
Viewer.display(
graph2pglscene(graph, graph.vertex_property('barycenter'),
graph.vertex_property('border')))
def test_graph_from_simple_image(visual = False):
im = np.array([[1, 2, 7, 7, 1, 1],
[1, 6, 5, 7, 3, 3],
[2, 2, 1, 7, 3, 3],
[1, 1, 1, 4, 1, 1]])
borders = SpatialImageAnalysis(im).cells_in_image_margins()
print '**', SpatialImageAnalysis(im).boundingbox(real=False)
#~ print borders
#~ print np.unique(im)
graph = graph_from_image(im)
#~ print list(graph.vertices())
#~ print map(graph.edge_vertices,graph.edges())
#~ print list(graph.vertex_property_names())
#~ print list(graph.edge_property_names())
for propname in graph.vertex_property_names():
print propname
print graph.vertex_property(propname)
#~ for propname in graph.edge_property_names():
#~ print propname
#~ print [(i,graph.edge_vertices(i),j) for i,j in graph.edge_property(propname).iteritems()]
if visual :
Viewer.display(graph2pglscene(graph,graph.vertex_property('barycenter'),graph.vertex_property('border')))
def test_graph_from_image(visual = False):
im = imread("segmentation.inr.gz")
graph = graph_from_image(im)
if visual :
Viewer.display(graph2pglscene(graph,graph.vertex_property('barycenter'),graph.vertex_property('L1')))
def plot(self):
from openalea.plantgl.gui import Viewer
Viewer.display(self.toScene())
