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def estimate(self, src, dst):作用：Estimate the transformation from a set of corresponding points.    You can determine the over-, well- and under-determined parameters with the total least-squares method.    Number of source and destination coordinates must match.    Parameters    ----------    src : (N, 2) array        Source coordinates.    dst : (N, 2) array        Destination coordinates.    Returns    -------    success : bool    True, if model estimation succeeds.

from skimage import transform as transimport numpy as npsrc = np.array([    [38.2946, 51.6963],    [73.5318, 51.5014],    [56.0252, 71.7366],    [41.5493, 92.3655],    [70.7299, 92.2041] ], dtype=np.float32)dst = np.array([    [38.2946, 51.6963],    [73.5318, 51.5014],    [56.0252, 71.7366],    [41.5493, 92.3655],    [70.7299, 92.2041] ], dtype=np.float32)tform = trans.SimilarityTransform()res =tform.estimate(dst, src)M = tform.paramsprint(res)print(M)

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