Classifies a list of point cloud files based on a given decision tree model. More...
Classes | |
| class | clfTreeModelApply |
Functions | |
| def | analyzeCfg |
| def | cmdline |
| this function is called when clfTreeModelApply is called directly | |
| def | main |
Variables | |
| predictionDuration = None | |
| rDispatcherMem = DispatcherMem(self.RParams) # just for testing and comparision clfModelMem, attributlistMem, classlistMem = rDispatcherMem.describe(self.model) | |
| tuple | odmname = os.path.split(fn) |
| tuple | dm = pyDM.Datamanager.load(fn,False,True) |
| tuple | layout = self._buildAttributeLayout(dm,fn) |
| tuple | pi = dm.getPointIndex() |
| tuple | leafcount = pi.sizeLeaf() |
| tuple | attrCount = len(self.attributlist) |
| tuple | t1 = datetime.now() |
| tuple | progress = pyDM.ControlObject(False) |
| tuple | pt1 = datetime.now() |
| tuple | result = self.rDispatcher.predictSimple(clfModel, self.attributlist, leaf, layout, False, self.filter, self.classAttr != None, self.probAttr != None ) |
| tuple | pt2 = datetime.now() |
| rDispatcherMem.predictSimple(clfModelMem, self.attributlist, leaf, layout, False, self.filter ) # only get class id | |
| tuple | t2 = datetime.now() |
Detailed Description
Classifies a list of point cloud files based on a given decision tree model.
More details to come...
- See Also
- Python script clfTreeModelApply
