def readHeader(self,):
if not self.parameters:
Raxis.readHeader(self)
self.np = int(round(self.head['sizeSlow']/self.head['sizeFast']*self.head['nFast']))
# assume that the slow dimension has longer pixels, as for the Raxis-II
assert self.head['sizeSlow'] > self.head['sizeFast']
# assume that the original pixel array is square
assert self.head['nFast'] == self.head['nSlow']
# assume that the extra pixels can be evenly divided by two
assert (self.np-self.head['nSlow'])%2==0
self.extra = (self.np-self.head['nSlow'])//2
self.generic_param_from_vendor_head()
self.generic_param_from_adapt_head()
def __init__(self, filename):
DetectorImageBase.__init__(self, filename)
Raxis.__init__(self, filename)
self.vendortype = "RAXIS"
def readHeader(self, ):
if not self.parameters:
Raxis.readHeader(self)
self.generic_param_from_vendor_head()
def __init__(self,filename): DetectorImageBase.__init__(self,filename) Raxis.__init__(self,filename) self.vendortype = "RAXIS"
def readHeader(self,):
if not self.parameters:
Raxis.readHeader(self)
self.generic_param_from_vendor_head()
