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Python: Running estimateRigidTransform in opencv/python; 8uC1 or 8uC3 error

I currently have two matching point sets built into a numpy array of float32:

points1 = 
[[  346.70220947  9076.38476562]
 [  922.99554443  9096.4921875 ]
 [  776.96466064  9108.79101562]
 [  449.0173645   9080.61816406]
 [ 2843.19433594  1226.93212891]
 [  779.95275879  9094.76855469]
 [  451.46853638  9092.5078125 ]
 [ 3981.4621582   1237.50964355]
 [  132.38700867  9086.7890625 ]
 [  819.10943604  8286.74023438]
 [ 1963.64025879  1220.06921387]
 [ 1253.79321289  9095.75292969]]

points2 = 
[[ 55110.36328125   9405.07519531]
 [ 55686.71875      9423.63574219]
 [ 55540.8515625    9435.80078125]
 [ 55212.58203125   9408.00585938]
 [ 57598.76171875   1551.92956543]
 [ 55543.78125      9421.88769531]
 [ 55214.40625      9420.46972656]
 [ 58737.41796875   1561.14831543]
 [ 54895.9296875    9414.58203125]
 [ 55581.87109375   8613.87011719]
 [ 56718.76953125   1546.02197266]
 [ 56017.8125       9422.52050781]]

and I'm trying to run:

affine = cv2.estimateRigidTransform(points2,points1,True)
print affine

so that I can generate an affine matrix that can then be translated into a world file (.tfw). The world file is for GIS software that will project these on-the-fly.

At the moment I am getting an error:

Both input images must have either 8uC1 or 8uC3 type in function cvEstimateRigidTransform

I'm not really sure what's going on here. I thought I could use two points sets as parameters as long as I have 6 or more pairs.

Any thoughts or recommendations would be much appreciated!