|hddlmZddlZddlmZddlmZdZdZ dZ ed d dd Z ed d dd Z ed d dd Z y))reduceN)polygon)requirectj|t}|Dcgc]\}}| }}}|Dcgc]\}}| }}}t|||\}} |||| f<|Scc}}wcc}}w)N)dtype)npzerosintr) verticesshapelabelmaskxyprpcrrccs a/var/www/html/test/engine/venv/lib/python3.12/site-packages/skimage/future/manual_segmentation.py_mask_from_verticesr sl 88E %D !1! !B ! !1! !B ! RU #FBDRL K " !s A A# matplotlibz>=3.3cddlm}ddlm}ddlm}||d}||gd|}|j |}|j|S)Nr)Polygon)PatchCollectionT)closed)match_originalalpha)matplotlib.patchesrmatplotlib.collectionsrmatplotlib.pyplotpyplotadd_collectiondraw) axrr rrpltrppolygon_objects r _draw_polygonr+sF*6#ht,G $eDA&&q)NHHJ c  ddl}ddlm g g gg jdvr t d j \  j djdj fd } jgd |jjd }|j| fd } jjd | jdfdt! dD}|rt#j$|St't"j(|t#j*dj,ddS)aReturn a label image based on polygon selections made with the mouse. Parameters ---------- image : (M, N[, 3]) array Grayscale or RGB image. alpha : float, optional Transparency value for polygons drawn over the image. return_all : bool, optional If True, an array containing each separate polygon drawn is returned. (The polygons may overlap.) If False (default), latter polygons "overwrite" earlier ones where they overlap. Returns ------- labels : array of int, shape ([Q, ]M, N) The segmented regions. If mode is `'separate'`, the leading dimension of the array corresponds to the number of regions that the user drew. Notes ----- Use left click to select the vertices of the polygon and right click to confirm the selection once all vertices are selected. Examples -------- >>> from skimage import data, future >>> import matplotlib.pyplot as plt # doctest: +SKIP >>> camera = data.camera() >>> mask = future.manual_polygon_segmentation(camera) # doctest: +SKIP >>> fig, ax = plt.subplots() # doctest: +SKIP >>> ax.imshow(mask) # doctest: +SKIP >>> plt.show() # doctest: +SKIP rNrr.Only 2D grayscale or RGB images are supported.皙?bottomgraycmapcrKjj}|jjjyyNpopremovecanvas draw_idleargskwargs last_polyfiglist_of_vertex_listspolygons_drawns r_undoz*manual_polygon_segmentation.._undoXA  $ $ &&**,I     JJ " r,g333333?g?333333?rG⟲cZ|j|j uryjry|jtk(rl j |j |j g r j}|jt dz } j |y|jtk(rl syj ddt } j | j}|j dd=jyy)Ngffffff?r ) inaxesget_navigate_modebutton LEFT_CLICKappendxdataydatar9r:r+ RIGHT_CLICKr&) eventpolyrr* preview_polyr r'rBr(rCpreview_polygon_drawn temp_listundo_poss r_extend_polygonz4manual_polygon_segmentation.._extend_polygones << 5<<8#;    !  <<: %   ekk5;;7 8$,002 $B %#+GG ! ( ( 1 \\[ ( ! ' ' ! 5*2yFN  ! !. 11446L    !! HHJ!)r,button_press_eventTblockc3XK|]!\}}t|jdd|#ywNrrr.0irimages r z.manual_polygon_segmentation..0 Ax Hekk"1oq9'*rstartr)rr#r$ndim ValueErrorsubplotssubplots_adjustimshow set_axis_offadd_axeswidgetsButton on_clickedr; mpl_connectshow enumerater stackrmaximum broadcast_tor)rcr return_allrrD undo_buttonrYlabelsr'rArBr(rCrVrWrXs`` @@@@@@@@rmanual_polygon_segmentationr|!s4L#NI zzIJJllnGCs#IIe&I!OO#||67H$$++Hh?K5!##JJJ/AHH4H$%9CFxxbjj&"//!U[[!_*MNNr,c  ddl}ddlm g g jdvr t d j \ j d jd j fd } jgd }|jj|d }|j| fd }|jj | jd fdt dD}|rt!j"|St%t j&|t!j(dj*ddS)aReturn a label image based on freeform selections made with the mouse. Parameters ---------- image : (M, N[, 3]) array Grayscale or RGB image. alpha : float, optional Transparency value for polygons drawn over the image. return_all : bool, optional If True, an array containing each separate polygon drawn is returned. (The polygons may overlap.) If False (default), latter polygons "overwrite" earlier ones where they overlap. Returns ------- labels : array of int, shape ([Q, ]M, N) The segmented regions. If mode is `'separate'`, the leading dimension of the array corresponds to the number of regions that the user drew. Notes ----- Press and hold the left mouse button to draw around each object. Examples -------- >>> from skimage import data, future >>> import matplotlib.pyplot as plt # doctest: +SKIP >>> camera = data.camera() >>> mask = future.manual_lasso_segmentation(camera) # doctest: +SKIP >>> fig, ax = plt.subplots() # doctest: +SKIP >>> ax.imshow(mask) # doctest: +SKIP >>> plt.show() # doctest: +SKIP rNr.r/r0r1r3r4crKjj}|jjjyyr7r8r=s rrDz(manual_lasso_segmentation.._undorEr,rFrHct|dkryj|t|}j|jy)NrrJ)lenrOr+r&)rr*r r'rBr(rCs r_on_lasso_selectionz6manual_lasso_segmentation.._on_lasso_selectionsE x=1  ##H-&r85An-  r,Tr[c3XK|]!\}}t|jdd|#ywr^r_r`s rrdz,manual_lasso_segmentation..rerfrrgr)rr#r$rirjrkrlrmrnrorprqrr LassoSelectorrtrur rvrrwrxr)rcr ryrrDrXrzrr{r'rArBr(rCs`` @@@@@rmanual_lasso_segmentationrs)J#N zzIJJllnGCs#IIe&I!OO#||67H$$++Hh?K5!$$R)<=HH4H$%9CFxxbjj&"//!U[[!_*MNNr,)皙?)rF) functoolsrnumpyr r&r_shared.version_requirementsrrNrRrr+r|rr,rrs|2   w    wsO sOl wRO ROr,