ó  ‰\c@sOddlmZddlmZddlmZddlZded„Z dS(i(t _seam_carve_vi(tutil(tutilsiÿÿÿÿNcCsçtj|dƒtj||ƒ}tj||ƒ}|jdkrY|dtjf}n|dkr’tj|ddƒ}tj|ddƒ}ntj|ƒ}t ||||ƒ}|dkrÚtj|ddƒ}ntj |ƒS(s˜ Carve vertical or horizontal seams off an image. Carves out vertical/horizontal seams from an image while using the given energy map to decide the importance of each pixel. Parameters ---------- image : (M, N) or (M, N, 3) ndarray Input image whose seams are to be removed. energy_map : (M, N) ndarray The array to decide the importance of each pixel. The higher the value corresponding to a pixel, the more the algorithm will try to keep it in the image. mode : str {'horizontal', 'vertical'} Indicates whether seams are to be removed vertically or horizontally. Removing seams horizontally will decrease the height whereas removing vertically will decrease the width. num : int Number of seams are to be removed. border : int, optional The number of pixels in the right, left and bottom end of the image to be excluded from being considered for a seam. This is important as certain filters just ignore image boundaries and set them to `0`. By default border is set to `1`. force_copy : bool, optional If set, the `image` and `energy_map` are copied before being used by the method which modifies it in place. Set this to `False` if the original image and the energy map are no longer needed after this operation. Returns ------- out : ndarray The cropped image with the seams removed. References ---------- .. [1] Shai Avidan and Ariel Shamir "Seam Carving for Content-Aware Image Resizing" http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Avidan07.pdf ii.t horizontalii(ii( Rt assert_nDRt img_as_floattndimtnptnewaxistswapaxestascontiguousarrayRtsqueeze(timaget energy_maptmodetnumtbordert force_copytout((s=lib/python2.7/site-packages/skimage/transform/seam_carving.pyt seam_carves+  ( t _seam_carvingRtRt_sharedRtnumpyRtTrueR(((s=lib/python2.7/site-packages/skimage/transform/seam_carving.pyts