Latest Contributions by ThomasFuchs

Hi Abhishek, I reworked the slope rule in my initial reply. This should now work in your case. ... View more

Hello Diego If you cannot see the rectangle after setting the extend, please try to zoom out. ... View more

Thank you for this question. With a custom Python script, there is a way to accomplish this task. Copy the attached script into your workspace, and add it to the scrips menu: ''' Created on Oct 31, 2017 Modified on Apr 4, 2018 @author: Esri R&D Zurich ''' from scripting import * import math # get a CityEngine instance ce = CE() hRes = 1080 def getCamera(view):     camPos      = view.getCameraPosition()     camRot      = view.getCameraRotation()     camAoV      = view.getCameraAngleOfView()     camPoI      = view.getCameraPoI()     camPoIDist  = math.sqrt(math.pow(camPoI[0]-camPos[0],2)+ \                             math.pow(camPoI[1]-camPos[1],2)+ \                             math.pow(camPoI[2]-camPos[2],2))     camPersp    = view.getCameraPerspective()     return camPos,camRot,camAoV,camPoIDist,camPersp def setCamera(view,camPos,camRot,camAoV,camPoIDist,camPersp = True):     view.setCameraPosition(camPos[0],camPos[1],camPos[2])     view.setCameraRotation(camRot[0],camRot[1],camRot[2])     view.setPoIDistance(camPoIDist)     view.setCameraAngleOfView(min(160.0,camAoV))     view.setCameraPerspective(camPersp) def getViewshed(viewshed):     vsPos   = ce.getObserverPoint(viewshed)     vsRot   = [0.0, 0.0, 0.0]     if ce.isViewshed(viewshed):         vsRot[0]    = ce.getTiltAndHeadingAngles(viewshed)[0]         vsRot[1]    = -ce.getTiltAndHeadingAngles(viewshed)[1]         vsAoV       = ce.getAnglesOfView(viewshed)[0]         vsPoIDist   = ce.getViewDistance(viewshed)         vsRatio     = vsAoV/ce.getAnglesOfView(viewshed)[1]     elif ce.isViewDome(viewshed):         vsAoV       = 360.0         vsPoIDist   = ce.getViewDistance(viewshed)         vsRatio     = 1     elif ce.isViewCorridor(viewshed):         vsPoI       = ce.getPOI(viewshed)         vsRot[0]    = math.atan2(vsPoI[1]-vsPos[1], \                                 math.sqrt(math.pow(vsPoI[0]-vsPos[0],2)+ \                                 math.pow(vsPoI[2]-vsPos[2],2)))*180/math.pi         vsRot[1]    = -math.atan2(vsPoI[0]-vsPos[0], \                                   -(vsPoI[2]-vsPos[2]))*180/math.pi         vsAoV       = ce.getAnglesOfView(viewshed)[0]         vsPoIDist   = math.sqrt(math.pow(vsPoI[0]-vsPos[0],2)+ \                                 math.pow(vsPoI[1]-vsPos[1],2)+ \                                 math.pow(vsPoI[2]-vsPos[2],2))         vsRatio     = vsAoV/ce.getAnglesOfView(viewshed)[1]     else:         return     vsName  = ce.getName(viewshed)     return vsPos,vsRot,vsAoV,vsPoIDist,vsRatio,vsName def snapshot360(view,vsName):     # make six square snapshots     view.setCameraAngleOfView(90.0)     vdAoV = [(0,0),(0,90),(0,180),(0,-90),(90,0),(-90,0)]     suffixes = ["_f","_l","_b","_r","_u","_d"]     for i, suffix in enumerate(suffixes):         view.setCameraRotation(vdAoV[i][0],vdAoV[i][1],0)         view.snapshot(ce.toFSPath('images/'+vsName+suffix+'.png'),hRes,hRes) def snapshotViewshed(view,viewshed):     # get initial camera parameters     camPos,camRot,camAoV,camPoIDist,camPersp = getCamera(view)     # get viewshed parameters     vsPos,vsRot,vsAoV,vsPoIDist,vsRatio,vsName = getViewshed(viewshed)     if ce.isViewDome(viewshed):         snapshot360(view,vsName)     else:         # set camera to viewshed parameters         setCamera(view,vsPos,vsRot,vsAoV,vsPoIDist)         # make a snapshot         view.snapshot(ce.toFSPath('images/'+vsName+'.png'),hRes*vsRatio,hRes)     # reset camera to initial camera parameters     setCamera(view,camPos,camRot,camAoV,camPoIDist,camPersp)     if __name__ == '__main__':         # get selected viewsheds, view domes and view corridors     view            = ce.getObjectsFrom(ce.get3DViews())[0]     viewsheds       = ce.getObjectsFrom(ce.selection(),ce.isViewshed)     viewdomes       = ce.getObjectsFrom(ce.selection(),ce.isViewDome)     viewCorridors   = ce.getObjectsFrom(ce.selection(),ce.isViewCorridor)         # preparations     initialSelection = ce.selection()     ce.setSelection([])     for al in ce.getObjectsFrom(ce.scene,ce.isAnalysisLayer):         ce.setLayerPreferences(al,"Visible",False)     tmpLayer = ce.addAnalysisLayer('TEMP Analysis Layer')         # make snapshots     for viewshed in (viewsheds+viewdomes+viewCorridors):         if ce.isViewCorridor(viewshed):             ce.setLayerPreferences(tmpLayer,"Visible",True)         else:             ce.setLayerPreferences(tmpLayer,"Visible",False)         tmpViewshed = ce.copy(viewshed,False,tmpLayer)         snapshotViewshed(view,tmpViewshed[0])         ce.delete(tmpViewshed)         # clean up     ce.delete(tmpLayer)     for al in ce.getObjectsFrom(ce.scene,ce.isAnalysisLayer):         ce.setLayerPreferences(al,"Visible",True)     ce.setSelection(initialSelection)     ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

The example with the slope around a shape in the middle is a quite unusual use case. To make this inter occlusion queries work, the Procedural Runtime preferences need to be adjusted: neighborhood distance for inter-occlusion needs to be set to the maximum extend of the slope (attr dist in the cga rule above) Please refer to the help for further explanations: Context (and Occlusion) Queries  ... View more

This is quite a difficult task. One way to achieve such a result without setback is with the CGA minimum distance function this allows for such checks without use of setback and offset. But there is no way in knowing, if it is the distance to the front or backside of the building. ... View more

Thanks Devin for the feedback! For CityEngine 2017 the team did focus on support for hiDPI screens. The editor markers still need to be adjusted. I've filed a feature request. ... View more

Hello Devin Adding bookmarks is an undocumented annotation feature of the CityEngine Editor. It is provided "out of the box" by the underlying framework CityEngine is based on. You can add/remove a bookmark by clicking with the right mouse button at the vertical ruler (left side). There is no bookmark overview window. The only way to jump between the bookmarks available is to use the overview ruler on the right side of the editor. There Bookmark positions are highlighted in green and the name is shown as a overlay. ... View more

Thank you for this interesting question. If you want an exact number of floors, you need to influence the random floor number generation. Therefore you need to keep track of all floors generated. In a regular split operation this information is unavailable. The only way I achieved this, is by using a recursive tile generation. version "2017.1" const floorHeight = 3 const minFloors = 5 const maxFloors = 10 const totalFloors = 30 attr floors = 0 attr floorsRemaining = totalFloors const parcelsX = 4 const parcelsZ = 5 attr parcelsRemaining = parcelsX * parcelsZ // const probabiltity = totalFloors / (parcelsX * parcelsZ * (minFloors+maxFloors)/2) const probabiltity = 0.3 getFloorHeight =      case parcelsRemaining == 0: floorsRemaining      case floorsRemaining/parcelsRemaining > maxFloors: min(maxFloors, floorsRemaining-minFloors)      case floorsRemaining <= maxFloors: float(p(probabiltity)) * floorsRemaining      else: float(p(probabiltity)) * floor(rand(minFloors, min(maxFloors, floorsRemaining-minFloors))) Lot -->      s(scope.sx/parcelsX,0,scope.sz/parcelsZ)      SplitXZ(0,0) SplitXZ(i,j) -->      case i<parcelsX:           set(parcelsRemaining, parcelsRemaining-1)           set(floors, getFloorHeight)           set(floorsRemaining, floorsRemaining - floors)           Floors           t(scope.sx,0,0)           SplitXZ(i+1,j)      else:                case j<parcelsZ-1:                t(-scope.sx*parcelsX,0,scope.sz)                SplitXZ(0,j+1)           else: NIL Floors -->      extrude(floors*floorHeight)      report("floors."+str(floors), 1)      split(y) {floorHeight: Color}* Color -->      case floors > maxFloors: color(1,0,0)      case floors < minFloors: color(0,0,1)      else: color(0,1,0)      ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

Hello Jafar Thank you for your question. Depending on the Block shape, it can be quite complicated to grow streets around them. There is certainly no easy to command to accomplish this task. But for your use case, there is a simple solution. You can use the Python command ce.subdivideShapes to subdivide lots in the same way as dynamic shapes. Please use the following script: ''' @author: Esri R&D Center Zurich ''' from scripting import * # get a CityEngine instance ce = CE() def subdivideShapes(shapes):         subdsettings = SubdivideShapesSettings()         subdsettings.setCornerAlignment("STREET_WIDTH")     # Sets CornerAlignment field.     # @param enumValue: the new value ["STREET_LENGTH", "STREET_WIDTH"]. [str]         subdsettings.setCornerAngleMax(120)     # Sets CornerAngleMax field. Corner angle threshold. If corner angle is below this value, "soft" corners are inserted.         subdsettings.setCornerWidth(0)     # Sets CornerWidth field. Corner width. Inserted "soft" corners have this width.         subdsettings.setForceStreetAccess(0)     # Sets ForceStreetAccess field. Factor to guarantee street access. A large value gives preference to splits that result in lots with street access.         subdsettings.setIrregularity(0.3)     # Sets Irregularity field. Split line irregularity. Larger values result in split positions more distant from middle point.         subdsettings.setLotAreaMax(1500)     # Sets LotAreaMax field. Maximum lot area. If the lot area is less than this value, subdivision stops.         subdsettings.setLotAreaMin(500)     # Sets LotAreaMin field. Minimum lot area. If the lot area is greater than this value, subdivision continues.         subdsettings.setLotElevation("UNEVEN")     # Sets LotElevation field. Flat or uneven lots.     # @param enumValue: the new value ["UNEVEN", "EVEN_MIN", "EVEN_MAX", "EVEN_AVG"]. [str]         subdsettings.setLotMinWidth(10)     # Sets LotMinWidth field. Minimal lot side length. If violated, the split position is sampled again.         subdsettings.setLotSubdivisionMethod("SKELETON")     # Sets LotSubdivisionMethod field. The subdivision algorithm used. The recursive method is creates regular blocks, while the straight skeleton guarantees street access.     # @param enumValue: the new value ["RECURSIVE", "OFFSET", "SKELETON", "NONE"]. [str]         subdsettings.setOffsetWidth(25)     # Sets OffsetWidth field. Offset width. When block inwards offset is used to compute subdivision, this is the default depth of the generated lots.         subdsettings.setSeed(-528362)     # Sets Seed field. Seed.         subdsettings.setShallowLotFrac(1.5)     # Sets ShallowLotFrac field.         subdsettings.setSimplify(0)     # Sets Simplify field. Amount of simplification that occurs. A high value creates irregular lots with fewer vertices.         subdsettings.setSubdivisionRecursive(True)     # Sets SubdivisionRecursive field. Use recursive algorithm for subdivision.            return ce.subdivideShapes(shapes, subdsettings)     if __name__ == '__main__':         print subdivideShapes(ce.selection()) ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

Good News! The issue has been resolved in CityEngine 2017.1 This version is scheduled to be released in November. ... View more

Hi Abhishek Sobbana‌ Thank you for this great question. For your use case, the CityEngine team has made the Example Instance City 2016.0  The Instance City Example contains four scenes that apply rules to instance pre-modeled building assets. The first scene comes with a street-network generated in CityEngine, and The second scene shows a city in space on a subdivision surface. The provided instancing rules distribute pre-modeled building assets according to their size while maintaining their original scale.   The third scene shows how buildings can be instanced along a curved street.   The fourth scene showcases improvements made in 2016.0 to the innerRectangle function allowing better placement of building assets in parcels. ... View more

hi Abele Giandoso‌ The area of your city 20 Miles * 6.5 should be doable. But since area is quite big, there might be too many polygons inside. Then you need to partition your scene into multiple scenes. However, if you have modeled your City in the wrong scale, you can use the following python script to adjust the size of the street network: from scripting import * # get a CityEngine instance ce = CE() def scaleAttr(segments, attrList, scaleFactor):     for s in segments:         for a in attrList:             value = ce.getAttribute(s, a)             ce.setAttribute(s, a, value * scaleFactor) if __name__ == '__main__':     scaleFactor = 1/2     scaleAttributes = ['/ce/street/laneWidth', '/ce/street/sidewalkWidthLeft', \                        '/ce/street/sidewalkWidthRight', '/ce/street/streetOffset', \                        '/ce/street/streetWidth']     segments = ce.getObjectsFrom(ce.scene, ce.isGraphSegment)     ce.scale(segments, [scaleFactor, 0, scaleFactor])     scaleAttr(segments, scaleAttributes, scaleFactor)‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

Hello Luiz Amadeu Coutinho‌ Thank you for your questions. The main difference is, that the CityEngine Scene Viewer is a standalone solution. There is no integration with other esri software and services. The export of models to Scene Layer Packages gives the great advantage, that it can be combined with feature and map layers from other sources. Please start looking into the new workflow. In the upcoming CityEngine 2017.1 release SLPKs are now “Smart Mapping-ready”. Means, statistical information on attributes is now written to the scene layers which allows for smart mapping capabilities in ArcGIS apps. For example, in the ArcGIS Scene Viewer, the colors of all buildings in a city can be interactively changed driven by attributes. The ArcGIS Indoors - UC 2017 Tech Preview has a detailed description and videos. I'm not aware of a final workflow yet. I hope the link will then be working. ... View more

I tried your script. There were errors in the log when running it. Please use the log for debugging python scripts.   File "E:\CE_Workspaces\CE_Support_Workspace\CESupport\scripts\snap.py", line 16, in exportImages     path = directory + "\_" + str(b) + str(v) + str(viewports.index(v)) + "_" + Tag + "_raw.png" NameError: global name 'viewports' is not defined‍‍‍ After fixing these it worked ''' Created on Oct 18, 2017 File:    snap.py ''' from scripting import * # get a CityEngine instance ce = CE() def exportImages(directory, Tag=""):    views = ce.get3DViews()       for v in views:        for b in v.getBookmarks():            path = directory + "\_" + str(b) + str(v) + "_" + Tag + "_raw.png"            v.restoreBookmark(b, False)            v.snapshot(path) if __name__ == '__main__':    exportImages(ce.toFSPath('images'))‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more