Hi Serge On Sun, Apr 2, 2017, at 15:30, Serge Shakhov via scikit-image wrote:

But I didn't find an answer.

I'm doing 2D piecewise affine transformation with skimage.transform.PiecewiseAffineTransform Result image is heavily cropped.

I tried to play with output_shape, mode and clip parameters but without any effect, image is still cropped. Could anyone point me what am I doing wrong?

I thought we had this implemented, but I guess not yet. You can see how here: https://github.com/scikit-image/skimage-tutorials/blob/master/lectures/adv3_... Specifically: *from* *skimage.transform* *import* SimilarityTransform *# Shape of middle image, our registration target* r, c = image.shape *# Note that transformations take coordinates in (x, y) format,* *# not (row, column), in order to be consistent with most literature* corners = np.array([[, ], [, r], [c, ], [c, r]]) *# Warp the image corners to their new positions* warped_corners = my_tf(corners) *# The overall output shape will be max - min* corner_min = np.min(corners, axis=0) corner_max = np.max(corners, axis=0) output_shape = (corner_max - corner_min) *# Ensure integer shape with np.ceil and dtype conversion* output_shape = np.ceil(output_shape[::-1]).astype(int) That calculates the shape you want. You now need to modify the transform to output an image inside of this shape: *from* *skimage.transform* *import* warp * # This in-plane offset is the only necessary transformation for the # middle image* offset = SimilarityTransform(translation=-corner_min) shifted_transform = (my_tf + offset).inverse pano0_warped = warp(image, shifted_transform, order=3, output_shape=output_shape, cval=-1) Let us know how that goes! Stéfan