b4bfb0de9c7237c9d404d5565f6d77c21bec5b48,skimage/morphology/watershed.py,,watershed,#Any#Any#Any#Any#Any#Any#,149

Before Change

    c_output = c_output.reshape(c_image.shape)[[slice(1, -1, None)] *
                                               image.ndim]
    try:
        return c_output.astype(markers.dtype)
    except:
        return c_output

After Change

                         mask, image_strides, compactness,
                         output.ravel())

    output = crop(output, pad_width, copy=True)

    return output

Instances