B \@s~ddlmZddlZddlZddlmZddlm Z ddl m Z ddl m Z dZdZd d Zdd d ZdddZdddZdS))reduceN)Polygon)PatchCollection)polygoncCsJtj|td}dd|D}dd|D}t|||\}}||||f<|S)N)ZdtypecSsg|] \}}|qSr ).0xyr r Alib/python3.7/site-packages/skimage/future/manual_segmentation.py sz'_mask_from_vertices..cSsg|] \}}|qSr r )r r r r r r rs)npZzerosintr)verticesshapeZlabelmaskZprZpcZrrZccr r r _mask_from_verticess  r皙?cCs2t|dd}t|gd|d}||}t|S)NT)closed)Zmatch_originalalpha)rrZadd_collectionpltdraw)axrrrppolygon_objectr r r _draw_polygons   rFc s ggggjdkr"tdt\jddjddfdd}d d d d gtj d }| |fd d}j d|tjddfddtddD}|rt|Sttj|tdjddSdS)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 )rrz.Only 2D grayscale or RGB images are supported.g?)bottomgray)cmapcs*r&}|jdS)N)popremovecanvas draw_idle)argskwargs last_poly)figlist_of_vertex_listspolygons_drawnr r _undoPs z*manual_polygon_segmentation.._undog333333?g?g333333?u⟲cs|jdks|jkrdSjjjjdk r,dS|jtkrz|j|j gr\ }| t dd}|n^|jt kr؈sdSddt d}| }| dd=tdS)Ngffffff?)r)Zinaxesr#ZmanagerZtoolbarZ_activeZbutton LEFT_CLICKappendZxdataZydatar!r"r RIGHT_CLICKrr)ZeventZpolyrrZ preview_poly)rrr(r)r*preview_polygon_drawn temp_listundo_posr r _extend_polygon]s*     z4manual_polygon_segmentation.._extend_polygonZbutton_press_eventT)blockc3s(|] \}}t|jdd|VqdS)Nr)rr)r ir)imager r sz.manual_polygon_segmentation..r)startrNr)ndim ValueErrorrsubplotssubplots_adjustimshow set_axis_offadd_axes matplotlibwidgetsButton on_clickedr#Z mpl_connectshow enumeraterstackrmaximum broadcast_tor)r5r return_allr+ undo_buttonr2labelsr ) rrr(r5r)r*r/r0r1r manual_polygon_segmentations,#     %   rKc sggjdkrtdt\jddjddfdd}d d d d g}tj |d }| |fd d}tj |}tj ddfddtddD}|rt|Sttj|tdjddSdS)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 )rrz.Only 2D grayscale or RGB images are supported.g?)rr)r cs*r&}|jdS)N)r!r"r#r$)r%r&r')r(r)r*r r r+s z(manual_lasso_segmentation.._undog333333?g?g333333?u⟲cs>t|dkrdS|t|d}|tdS)Nr)r)lenr-rrr)rr)rrr)r*r r _on_lasso_selections    z6manual_lasso_segmentation.._on_lasso_selectionT)r3c3s(|] \}}t|jdd|VqdS)Nr)rr)r r4r)r5r r r6sz,manual_lasso_segmentation..r)r7rNr)r8r9rr:r;r<r=r>r?r@rArBZ LassoSelectorrCrDrrErrFrGr) r5rrHr+r1rIrMZlassorJr )rrr(r5r)r*r manual_lasso_segmentations("        rN)r)rF)rF) functoolsrZnumpyrr?Zmatplotlib.pyplotZpyplotrZmatplotlib.patchesrZmatplotlib.collectionsrrrr,r.rrrKrNr r r r s       o