def shaveDense(self, annodata):
"""Remove the specified voxels from the annotation"""
# get all the exceptions that are equal to the annid in both datasets
shavedata = ((self.data - annodata) == 0) * annodata
# find all shave requests that don't match the dense data
exdata = (self.data != annodata) * annodata
self.data = ocplib.shaveDense_ctype(self.data, shavedata)
return exdata
def shaveDense ( self, annodata ):
"""Remove the specified voxels from the annotation"""
# get all the exceptions that are equal to the annid in both datasets
shavedata = ((self.data-annodata)==0) * annodata
# find all shave requests that don't match the dense data
exdata = (self.data != annodata) * annodata
self.data = ocplib.shaveDense_ctype ( self.data, shavedata )
return exdata
def shaveDense ( self, annodata ):
"""Remove the specified voxels from the annotation"""
# get all the exceptions that are equal to the annid in both datasets
shavedata = ((self.data-annodata)==0) * annodata
# find all shave requests that don't match the dense data
exdata = (self.data != annodata) * annodata
# then shave
#vector_func = np.vectorize ( lambda a,b: 0 if b!=0 else a )
#self.data = vector_func ( self.data, shavedata )
self.data = ocplib.shaveDense_ctype ( self.data, shavedata )
# return the list of exceptions ids and the exceptions
return exdata
