ó  ‰\c@s2ddlZddlmZdded„ZdS(iÿÿÿÿNi(tlabelicsŠ|}t‡fd†|jDƒƒr4tdƒ‚ntj|dtjƒ}ˆd}t|ƒ}t| dƒ}g|jD]} t| ƒ^q|} xWt|j ƒD]F} t | ƒ} || | >> import numpy as np >>> from skimage.segmentation import clear_border >>> labels = np.array([[0, 0, 0, 0, 0, 0, 0, 1, 0], ... [0, 0, 0, 0, 1, 0, 0, 0, 0], ... [1, 0, 0, 1, 0, 1, 0, 0, 0], ... [0, 0, 1, 1, 1, 1, 1, 0, 0], ... [0, 1, 1, 1, 1, 1, 1, 1, 0], ... [0, 0, 0, 0, 0, 0, 0, 0, 0]]) >>> clear_border(labels) array([[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 0, 0], [0, 1, 1, 1, 1, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0]]) c3s|]}ˆ|kVqdS(N((t.0ts(t buffer_size(sAlib/python2.7/site-packages/skimage/segmentation/_clear_border.pys .ss.buffer size may not be greater than image sizetdtypeit backgroundiN(tanytshapet ValueErrortnpt zeros_liketbool_tslicetNonetrangetndimtlisttTruettupleRtmaxtuniquetarangetin1dtraveltreshapetcopy(tlabelsRtbgvaltin_placetimagetborderstexttslstarttslendRtslicestdtslicedimtnumbertborders_indicestindicest label_masktmask((RsAlib/python2.7/site-packages/skimage/segmentation/_clear_border.pyt clear_borders0'  "    (tnumpyR tmeasureRtFalseR*(((sAlib/python2.7/site-packages/skimage/segmentation/_clear_border.pyts