o h@s|ddlmZddlZddlmZddlmZdZdZ dd Z ed d dd dZ ed d dddZ ed d dddZ dS))reduceN)polygon)requirecCsJtj|td}dd|D}dd|D}t|||\}}||||f<|S)N)dtypecSsg|]\}}|qSr .0xyr r ]/var/www/html/scripts/venv/lib/python3.10/site-packages/skimage/future/manual_segmentation.py z'_mask_from_vertices..cSsg|]\}}|qSr r r r r rrr)npzerosintr)verticesshapelabelmaskprpcrrccr r r_mask_from_vertices s  r matplotlibz>=3.3皙?c CsVddlm}ddlm}ddlm}||dd}||gd|d}||}||S)Nr)Polygon)PatchCollectionT)closed)match_originalalpha)matplotlib.patchesrmatplotlib.collectionsr matplotlib.pyplotpyplotadd_collectiondraw) axrr#rr pltrppolygon_objectr r r _draw_polygons     r.Fc sddl}ddlmggggjdvrtd\jddjddfd d } gd  |j d }| | fd d}j d|jddfddtddD}|r{t|Sttj|tdjddS)alReturn 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, io >>> camera = data.camera() >>> mask = future.manual_polygon_segmentation(camera) # doctest: +SKIP >>> io.imshow(mask) # doctest: +SKIP >>> io.show() # doctest: +SKIP rNrr.Only 2D grayscale or RGB images are supported.皙?bottomgraycmapc.r}|jdSdSNpopremovecanvas draw_idleargskwargs last_polyfiglist_of_vertex_listspolygons_drawnr r_undoV z*manual_polygon_segmentation.._undog333333?g?333333?rI⟲cs|jdus |jur dSrdS|jtkr:|j|jgr*}|t dd}|dS|jt krksCdSddt d}|}|dd= dSdS)Ngffffff?r#) inaxesget_navigate_modebutton LEFT_CLICKappendxdataydatar:r;r. RIGHT_CLICKr))eventpolyrr- preview_poly)r#r*rDr+rEpreview_polygon_drawn temp_listundo_posr r_extend_polygoncs,     z4manual_polygon_segmentation.._extend_polygonbutton_press_eventTblockc3*|]\}}t|jdd|VqdSNrrrr irimager r z.manual_polygon_segmentation..rstartr)rr&r'ndim ValueErrorsubplotssubplots_adjustimshow set_axis_offadd_axeswidgetsButton on_clickedr< mpl_connectshow enumeraterstackrmaximum broadcast_tor)rdr# return_allrrF undo_buttonrZlabelsr ) r#r*rCrdrDr+rErWrXrYrmanual_polygon_segmentation!s2$      %     r|c sddl}ddlmggjdvrtd\jddjddfd d } gd }|j |d }| |fd d}|j |jddfddtddD}|rtt|Sttj|tdjddS)a*Return 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, io >>> camera = data.camera() >>> mask = future.manual_lasso_segmentation(camera) # doctest: +SKIP >>> io.imshow(mask) # doctest: +SKIP >>> io.show() # doctest: +SKIP rNr/r0r1r2r4r5cr7r8r9r>rBr rrFrGz(manual_lasso_segmentation.._undorHrJcs>t|dkrdS|t|d}|dS)NrrK)lenrPr.r))rr-)r#r*rDr+rEr r_on_lasso_selections    z6manual_lasso_segmentation.._on_lasso_selectionTr\c3r^r_r`rarcr rrerfz,manual_lasso_segmentation..rrgr)rr&r'rirjrkrlrmrnrorprqrr LassoSelectorrtrurrvrrwrxr) rdr#ryrrFrYrzr~r{r )r#r*rCrdrDr+rErmanual_lasso_segmentations.#           r)r)rF) functoolsrnumpyrr)r_shared.version_requirementsrrOrSrr.r|rr r r rs     r