def calibrate(self, zoom=1, close=False):
image = self.snapshotAtZoom(zoom)
if close is True:
self.md2.fastshutterisopen = False #CloseFastShutter()
#image = image * (image > 0.25 * image.max())
if zoom in [1, 2, 3]: #do not try to fit in zoom 1, 2 and 3
params = [None] * 5
self.cData[zoom] = params
data = self.images[zoom]
z, x = numpy.unravel_index(data.argmax(), data.shape)
else:
params = gauss2d.fitgaussian(image)
self.cData[zoom] = params
if abs(self.cData[zoom][3]) < 100. and abs(
self.cData[zoom][4]) < 100.:
x = self.cData[zoom][2]
z = self.cData[zoom][1]
else:
data = self.images[zoom]
z, x = numpy.unravel_index(data.argmax(), data.shape)
print 'zoom %s' % zoom
print 'x, y: %s %s' % (x, z)
self.beamposition[zoom] = {'z': z, 'x': x}
self.md2.write_attribute('beampositionvertical', int(z))
self.md2.write_attribute('beampositionhorizontal', int(x))
def calibrate(self, zoom=1, close=False):
image = self.snapshotAtZoom(zoom)
if close is True:
self.md2.fastshutterisopen = False #CloseFastShutter()
#image = image * (image > 0.25 * image.max())
if zoom in [1, 2, 3]: #do not try to fit in zoom 1, 2 and 3
params = [None]*5
self.cData[zoom] = params
data = self.images[zoom]
z, x = numpy.unravel_index(data.argmax(), data.shape)
else:
params = gauss2d.fitgaussian(image)
self.cData[zoom] = params
if abs(self.cData[zoom][3]) < 100. and abs(self.cData[zoom][4]) < 100.:
x = self.cData[zoom][2]
z = self.cData[zoom][1]
else:
data = self.images[zoom]
z, x = numpy.unravel_index(data.argmax(), data.shape)
print 'zoom %s' % zoom
print 'x, y: %s %s' % (x, z)
self.beamposition[zoom] = {'z': z, 'x': x}
self.md2.write_attribute('beampositionvertical', int(z))
self.md2.write_attribute('beampositionhorizontal', int(x))
def fitGauss(image):
params = gauss2d.fitgaussian(image)
return params
def fitGauss(self, image):
params = gauss2d.fitgaussian(image)
return params
