def fitObjectsOnShelf(polyData, maxHeight = 0.25):
# find the shelf plane:
polyDataWithoutFront, _ = segmentation.removeMajorPlane(polyData, distanceThreshold=0.02)
polyDataPlaneFit, origin, normal = segmentation.applyPlaneFit(polyDataWithoutFront, expectedNormal=np.array([0.0,0.0,1.0]), perpendicularAxis=np.array([0.0,0.0,1.0]), returnOrigin=True)
vis.updatePolyData(polyDataPlaneFit, 'polyDataPlaneFit', parent='segmentation', visible=False)
shelfSurfacePoints = segmentation.thresholdPoints(polyDataPlaneFit, 'dist_to_plane', [-0.01, 0.01])
shelfCenter = segmentation.computeCentroid(shelfSurfacePoints)
shelfFrame = transformUtils.getTransformFromOriginAndNormal(shelfCenter, normal, normalAxis=2)
vis.showFrame(shelfFrame, 'shelfFrame', parent='segmentation', scale=0.15 , visible=False)
# find the points near to the shelf plane and find objects on it:
points = vnp.getNumpyFromVtk(polyData, 'Points')
dist = np.dot(points - origin, normal)
vnp.addNumpyToVtk(polyData, dist, 'dist_to_plane')
shelfPoints = segmentation.thresholdPoints(polyData, 'dist_to_plane', [-0.01, maxHeight])
vis.updatePolyData(shelfPoints, 'shelf', parent='segmentation', visible=False)
data = segmentation.segmentTableScene(shelfPoints, shelfCenter, filterClustering = False )
vis.showClusterObjects(data.clusters + [data.table], parent='segmentation')
# remove the points that we considered from the orginal cloud
dists = vnp.getNumpyFromVtk(polyData, 'dist_to_plane')
diffShelf = ( ((dists > maxHeight) + (dists < -0.01))) + 0.1 -0.1
vnp.addNumpyToVtk(polyData, diffShelf, 'diff_shelf')
polyData = segmentation.thresholdPoints(polyData, 'diff_shelf', [1, 1])
vis.updatePolyData(polyData, 'rest', parent='segmentation', visible=False)
return polyData
def fitObjectsOnShelf(polyData, maxHeight=0.25):
# find the shelf plane:
polyDataWithoutFront, _ = segmentation.removeMajorPlane(
polyData, distanceThreshold=0.02)
polyDataPlaneFit, origin, normal = segmentation.applyPlaneFit(
polyDataWithoutFront,
expectedNormal=np.array([0.0, 0.0, 1.0]),
perpendicularAxis=np.array([0.0, 0.0, 1.0]),
returnOrigin=True)
vis.updatePolyData(polyDataPlaneFit,
'polyDataPlaneFit',
parent='segmentation',
visible=False)
shelfSurfacePoints = segmentation.thresholdPoints(polyDataPlaneFit,
'dist_to_plane',
[-0.01, 0.01])
shelfCenter = segmentation.computeCentroid(shelfSurfacePoints)
shelfFrame = transformUtils.getTransformFromOriginAndNormal(shelfCenter,
normal,
normalAxis=2)
vis.showFrame(shelfFrame,
'shelfFrame',
parent='segmentation',
scale=0.15,
visible=False)
# find the points near to the shelf plane and find objects on it:
points = vnp.getNumpyFromVtk(polyData, 'Points')
dist = np.dot(points - origin, normal)
vnp.addNumpyToVtk(polyData, dist, 'dist_to_plane')
shelfPoints = segmentation.thresholdPoints(polyData, 'dist_to_plane',
[-0.01, maxHeight])
vis.updatePolyData(shelfPoints,
'shelf',
parent='segmentation',
visible=False)
data = segmentation.segmentTableScene(shelfPoints,
shelfCenter,
filterClustering=False)
vis.showClusterObjects(data.clusters + [data.table], parent='segmentation')
# remove the points that we considered from the orginal cloud
dists = vnp.getNumpyFromVtk(polyData, 'dist_to_plane')
diffShelf = (((dists > maxHeight) + (dists < -0.01))) + 0.1 - 0.1
vnp.addNumpyToVtk(polyData, diffShelf, 'diff_shelf')
polyData = segmentation.thresholdPoints(polyData, 'diff_shelf', [1, 1])
vis.updatePolyData(polyData, 'rest', parent='segmentation', visible=False)
return polyData
def segmentTableObjects(self):
tableCentroid = segmentation.computeCentroid(self.tableData.box)
self.tableData.frame.TransformPoint(tableCentroid, tableCentroid)
data = segmentation.segmentTableScene(self.getInputPointCloud(), tableCentroid)
data.clusters = self.sortClustersOnTable(data.clusters)
self.clusterObjects = vis.showClusterObjects(data.clusters, parent='segmentation')
self.segmentationData = data
def segmentTableTopPointCloud():
polyData = om.findObjectByName('pointcloud snapshot').polyData
pickPoint = [-0.70420271, 0.64272028, 1.07856214]
data = segmentation.segmentTableScene(polyData, pickPoint)
vis.showClusterObjects(data.clusters + [data.table], parent='segmentation')
def onSegmentTableScene():
data = segmentation.segmentTableScene(pointCloudObj.polyData, pickedPoint)
vis.showClusterObjects(data.clusters + [data.table], parent='segmentation')
def segmentTableTopPointCloud():
polyData = om.findObjectByName('pointcloud snapshot').polyData
pickPoint = [-0.70420271, 0.64272028, 1.07856214]
data = segmentation.segmentTableScene(polyData, pickPoint)
vis.showClusterObjects(data.clusters + [data.table], parent='segmentation')
