o e@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)ZdtypecSsg|]\}}|qSr.0xyrrRD:\Projects\ConvertPro\env\Lib\site-packages\skimage/future/manual_segmentation.py z'_mask_from_vertices..cSsg|]\}}|qSrrr rrr rr)npZzerosintr)verticesshapelabelmaskprZpcrrccrrr _mask_from_vertices s  r matplotlibz>=3.3皙?c CsVddlm}ddlm}ddlm}||dd}||gd|d}||}||S)Nr)Polygon)PatchCollectionT)closed)Zmatch_originalalpha)Zmatplotlib.patchesrZmatplotlib.collectionsrmatplotlib.pyplotpyplotZadd_collectiondraw) axrrrrpltrppolygon_objectrrr _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?bottomgrayZcmapc.r}|jdSdSNpopremovecanvasZ draw_idleargskwargsZ last_polyfiglist_of_vertex_listspolygons_drawnrr _undoV z*manual_polygon_segmentation.._undog333333?g?333333?r?⟲cs|jdus |jur dSrdS|jtkr:|j|jgr*}|t dd}|dS|jt krksCdSddt d}|}|dd= dSdS)Ngffffff?r) ZinaxesZget_navigate_modeZbutton LEFT_CLICKappendZxdataZydatar2r3r' RIGHT_CLICKr")eventZpolyrr&Z preview_poly)rr#r:r$r;preview_polygon_drawn temp_listundo_posrr _extend_polygoncs,     z4manual_polygon_segmentation.._extend_polygonZbutton_press_eventTblockc3*|]\}}t|jdd|VqdSNrrrr irimagerr z.manual_polygon_segmentation..rstartr)rr r!ndim ValueErrorsubplotssubplots_adjustimshow set_axis_offadd_axeswidgetsButton on_clickedr4Z mpl_connectshow enumeraterstackrmaximum broadcast_tor)rRr return_allrr< undo_buttonrIlabelsr) rr#r9rRr:r$r;rFrGrHr manual_polygon_segmentation!s2$      %     ric 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(r)r*r+r-r.cr/r0r1r5r8rr r<r=z(manual_lasso_segmentation.._undor>r@cs>t|dkrdS|t|d}|dS)NrrA)lenrCr'r")rr&)rr#r:r$r;rr _on_lasso_selections    z6manual_lasso_segmentation.._on_lasso_selectionTrJc3rLrMrNrOrQrr rSrTz,manual_lasso_segmentation..rrUr)rr r!rWrXrYrZr[r\r]r^r_r`Z LassoSelectorrarbrrcrrdrer) rRrrfrr<rHrgrkrhr)rr#r9rRr:r$r;r manual_lasso_segmentations.#           rl)r)rF) functoolsrnumpyrr"rZ_shared.version_requirementsrrBrDrr'rirlrrrr s     r