0-PhddlmZddlZddlmZddlmZdZdZ dZ ed d dd Z ed d ddZ ed d ddZ dS))reduceN)polygon)requirectj|t}d|D}d|D}t|||\}}||||f<|S)N)dtypecg|]\}}|Sr .0xys b/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/future/manual_segmentation.py z'_mask_from_vertices..  ! ! !1! ! ! !cg|]\}}|Sr r r s rrz'_mask_from_vertices..rr)npzerosintr)verticesshapelabelmaskprpcrrccs r_mask_from_verticesr! sc 8E % % %D ! ! ! ! !B ! ! ! ! !B RU # #FBDRL Kr matplotlibz>=3.3皙?cddlm}ddlm}ddlm}||d}||gd|}||}||S)Nr)Polygon)PatchCollectionT)closed)match_originalalpha)matplotlib.patchesr%matplotlib.collectionsr&matplotlib.pyplotpyplotadd_collectiondraw) axrr)r%r&pltrppolygon_objects r _draw_polygonr4s******666666######ght,,,G $eDDDA&&q))NHHJJJ rFc   ddl}ddlm g g gg jdvrt d \  dd fd } gd |j d }| | fd } j d | dfdt! dD}|rt#j|St't"j|t#jdjddS)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?bottomgraycmapcrW}|jdSdSNpopremovecanvas draw_idleargskwargs last_polyfiglist_of_vertex_listspolygons_drawns r_undoz*manual_polygon_segmentation.._undoXd  # $ $ & & &&**,,I       J " " " " "  # #rg333333?g?333333?rO⟲c|j |j urdSrdS|jtkrw |j|jg r( }|t dz } |dS|jtkr sdS ddt } | }| dd= dSdS)Ngffffff?r)) inaxesget_navigate_modebutton LEFT_CLICKappendxdataydatarArBr4 RIGHT_CLICKr/) eventpolyrr3 preview_polyr)r0rJr1rKpreview_polygon_drawn temp_listundo_poss r_extend_polygonz4manual_polygon_segmentation.._extend_polygonesb < 5<8#;#; F   ! !  F <: % %   ek5;7 8 8 8$ ,0022 $B %#+GGGG ! ( ( 1 1 1 1 1 \[ ( (  ! ' ' !!! 5 5 5*2yFFFN  ! !. 1 1 114466L    ! ! !!!! HHJJJJJ!) (rbutton_press_eventTblockc3ZK|]%\}}t|jdd|V&dSNrr!rririmages r z.manual_polygon_segmentation..Q Ax Hek"1"oq99rrstartr)r"r,r-ndim ValueErrorsubplotssubplots_adjustimshow set_axis_offadd_axeswidgetsButton on_clickedrC mpl_connectshow enumeraterstackrmaximum broadcast_tor)rjr) return_allr"rL undo_buttonralabelsr0rIrJr1rKr^r_r`s`` @@@@@@@@rmanual_polygon_segmentationr!sL######NI zIJJJllnnGCs###IIe&I!!!OO#######||66677H$++Hh??K5!!!############JJ/AAAHH4H$%9CCCFOxbj&"/!U[!_*M*MNNNrc  ddl}ddlm g g jdvrt d \ d d  fd } gd }|j |d }| | fd }|j | d fdt dD}|rt!j|St%t j|t!jdjddS)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 rNr6r7r8r9r;r<crW}|jdSdSr?r@rEs rrLz(manual_lasso_segmentation.._undorMrrNrPct|dkrdS|t|}|dS)NrrR)lenrWr4r/)rr3r)r0rJr1rKs r_on_lasso_selectionz6manual_lasso_segmentation.._on_lasso_selectionsf x==1   F##H---&r85AAAn---  rTrcc3ZK|]%\}}t|jdd|V&dSrfrgrhs rrkz,manual_lasso_segmentation..rlrrrmr)r"r,r-rorprqrrrsrtrurvrwrx LassoSelectorrzr{rr|rr}r~r)rjr)rr"rLr`rrrr0rIrJr1rKs`` @@@@@rmanual_lasso_segmentationrsJ######N zIJJJllnnGCs###IIe&I!!!OO#######||66677H$++Hh??K5!!!$$R)<===HH4H$%9CCCFOxbj&"/!U[!_*M*MNNNr)r#)r#F) functoolsrnumpyrr/r_shared.version_requirementsrrVrZr!r4rrr rrrs222222   w      wsOsOsO sOl wRORORO ROROROr