def getMagnification(dicdict):
XYgood = np.column_stack((dicdict['X'].ravel(), dicdict['Y'].ravel()))
xygood = np.column_stack((dicdict['x'].ravel(), dicdict['y'].ravel()))
XYmag = np.sum(XYgood,axis=1)
indexsmall, indexlarge = np.nanargmin(XYmag), np.nanargmax(XYmag)
distpix = Mmath.get_dist(xygood[indexsmall,:].astype('float64'), xygood[indexlarge,:].astype('float64'))
distreal = Mmath.get_dist(XYgood[indexsmall,:], XYgood[indexlarge,:])
return distreal/distpix
def distance_matrix(xy):
n = np.shape(xy)[0]
dist = np.zeros((n, n))
for i, acurr in enumerate(xy):
for j, bcurr in enumerate(xy):
dist[i, j] = Mmath.get_dist(acurr, bcurr)
return dist