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Handle special case of 1 pixel image

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Johannes Schönberger
2014-12-24 17:28:44 +01:00
parent 5dbb6e3257
commit 91c697c5f7
1 changed files with 14 additions and 9 deletions
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skimage/transform/_warps.py
+14 -9
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@@ -88,18 +88,23 @@ def resize(image, output_shape, order=1, mode='constant', cval=0, clip=True,
else: # 2-dimensional interpolation
# 3 control points necessary to estimate exact AffineTransform
src_corners = np.array([[1, 1], [1, rows], [cols, rows]]) - 1
dst_corners = np.zeros(src_corners.shape, dtype=np.double)
# take into account that 0th pixel is at position (0.5, 0.5)
dst_corners[:, 0] = col_scale * (src_corners[:, 0] + 0.5) - 0.5
dst_corners[:, 1] = row_scale * (src_corners[:, 1] + 0.5) - 0.5
if rows == 1 and cols == 1:
tform = AffineTransform(translation=(orig_cols / 2.0 - 0.5,
orig_rows / 2.0 - 0.5))
else:
# 3 control points necessary to estimate exact AffineTransform
src_corners = np.array([[1, 1], [1, rows], [cols, rows]]) - 1
dst_corners = np.zeros(src_corners.shape, dtype=np.double)
# take into account that 0th pixel is at position (0.5, 0.5)
dst_corners[:, 0] = col_scale * (src_corners[:, 0] + 0.5) - 0.5
dst_corners[:, 1] = row_scale * (src_corners[:, 1] + 0.5) - 0.5
tform = AffineTransform()
tform.estimate(src_corners, dst_corners)
tform = AffineTransform()
tform.estimate(src_corners, dst_corners)
out = warp(image, tform, output_shape=output_shape, order=order,
mode=mode, cval=cval, clip=clip, preserve_range=preserve_range)
mode=mode, cval=cval, clip=clip,
preserve_range=preserve_range)
return out