Difference between revisions of "IC Python API:Bounding Info"
Chuck (RL) (Talk | contribs) m (→Creating the UI) |
Chuck (RL) (Talk | contribs) m (→Everything Put Together) |
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| − | def | + | def get_bounding_info(): |
items = RLPy.RScene.GetSelectedObjects() | items = RLPy.RScene.GetSelectedObjects() | ||
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bi_events["callback_id"] = RLPy.REventHandler.RegisterCallback(bi_events["callback"]) | bi_events["callback_id"] = RLPy.REventHandler.RegisterCallback(bi_events["callback"]) | ||
| − | + | get_bounding_info() # Retrieve the bounding info on start up | |
</syntaxhighlight> | </syntaxhighlight> | ||
Revision as of 19:29, 20 August 2019
- Main article: RL Python Samples.
This article will go over the handling of bounding area data in iClone and how to derive useful bounding box size information from it. Bounds of an object are the farthest extent of its vertices in world-space coordinates, therefore, they are subject to transformational changes. This can be counter-intuitive when it comes to changing rotations where one would expect the bounding box to stay the same. However, this is not the case and it more useful to think of the bounding box as a fixed orientation where the points represented do not rotate in the object's transform space.
Required Modules and Global Variables
Besides the fundamental Reallusion Python module, we'll also need Pyside2 and os to read the QT UI file and build the user interface. We'll also need a global variable to house our UI and callback events that we'll need to link the custom user controls with those of iClone.
import RLPy
import os
from PySide2 import *
from PySide2.shiboken2 import wrapInstance
bi_events = {} # Global dict for events and callbacks
Event Callback
In order to sync the custom user controls with the data model, we'll need to receive event triggers on object data and selection change and tie it to an update function. We do this by inheriting and configuring the RLPy.REventCallback class.
class BoundingInfoEventCallback(RLPy.REventCallback):
def __init__(self):
RLPy.REventCallback.__init__(self)
def OnObjectDataChanged(self):
get_bounding_box()
def OnObjectSelectionChanged(self):
get_bounding_box()
Dialog Event Callback
Event callbacks are global values, therefore they tend to persist even when the user is not longer using the script. This can quickly pollute the environment with wasteful scripted calculations that can chew up memory and CPU cycles. Therefore, we'll need a dialog event callback to discard current event callbacks created by this script and clean up the global variables.
class DialogEventCallback(RLPy.RDialogCallback):
def __init__(self):
RLPy.RDialogCallback.__init__(self)
def OnDialogClose(self):
global bi_events
RLPy.REventHandler.UnregisterCallback(bi_events["callback_id"])
bi_events.clear
return True
Creating the UI
We'll need to load the configured QT UI file. You can download Bounding_Info.ui here -make sure this UI file is placed in the same script directory.
# Create the dialog window in iClone
window = RLPy.RUi.CreateRDialog()
window.SetWindowTitle("Bounding Box")
# Empower the window with Python QT functionalities
dialog = wrapInstance(int(window.GetWindow()), QtWidgets.QDialog)
dialog.setFixedWidth(350)
# Read the QT UI file from location and deploy as widget
ui = QtCore.QFile(os.path.dirname(__file__) + "/Bounding_Info.ui")
ui.open(QtCore.QFile.ReadOnly)
widget = QtUiTools.QUiLoader().load(ui)
ui.close()
dialog.layout().addWidget(widget)
window.Show()
Everything Put Together
import RLPy
import os
from PySide2 import *
from PySide2.shiboken2 import wrapInstance
bi_events = {} # Global dict for events and callbacks
class BoundingInfoEventCallback(RLPy.REventCallback):
def __init__(self):
RLPy.REventCallback.__init__(self)
def OnObjectDataChanged(self):
get_bounding_box()
def OnObjectSelectionChanged(self):
get_bounding_box()
class DialogEventCallback(RLPy.RDialogCallback):
def __init__(self):
RLPy.RDialogCallback.__init__(self)
def OnDialogClose(self):
global bi_events
RLPy.REventHandler.UnregisterCallback(bi_events["callback_id"])
bi_events.clear
return True
# Create the dialog window in iClone
window = RLPy.RUi.CreateRDialog()
window.SetWindowTitle("Bounding Box")
# Empower the window with Python QT functionalities
dialog = wrapInstance(int(window.GetWindow()), QtWidgets.QDialog)
dialog.setFixedWidth(350)
# Read the QT UI file from location and deploy as widget
ui = QtCore.QFile(os.path.dirname(__file__) + "/Bounding_Info.ui")
ui.open(QtCore.QFile.ReadOnly)
widget = QtUiTools.QUiLoader().load(ui)
ui.close()
dialog.layout().addWidget(widget)
window.Show()
def get_bounding_info():
items = RLPy.RScene.GetSelectedObjects()
if len(items) > 0:
window.SetWindowTitle("Bounding Box ({})".format(items[0].GetName()))
maxPoint = RLPy.RVector3()
cenPoint = RLPy.RVector3()
minPoint = RLPy.RVector3()
status = items[0].GetBounds(maxPoint, cenPoint, minPoint)
bounding = maxPoint - cenPoint # Can also be: cenPoint - minPoint
if status == RLPy.RStatus.Success:
# Populate the coordinate fields with bounding information
for field in [[widget.max_x, maxPoint.x], [widget.max_y, maxPoint.y], [widget.max_z, maxPoint.z],
[widget.cen_x, cenPoint.x], [widget.cen_y, cenPoint.y], [widget.cen_z, cenPoint.z],
[widget.min_x, minPoint.x], [widget.min_y, minPoint.y], [widget.min_z, minPoint.z],
[widget.bbs_x, bounding.x], [widget.bbs_y, bounding.y], [widget.bbs_z, bounding.z]]:
field[0].setText(str(round(field[1], 2)))
return
if status == RLPy.RStatus.Failure:
pass
window.SetWindowTitle("Bounding Box (--)")
# Reset the coordinate fields
for field in [widget.max_x, widget.max_y, widget.max_z, widget.cen_x, widget.cen_y, widget.cen_z,
widget.min_x, widget.min_y, widget.min_z, widget.bbs_x, widget.bbs_y, widget.bbs_z]:
field.setText("--")
# Register dialog event callbacks
bi_events["dialog_callbacks"] = DialogEventCallback()
window.RegisterEventCallback(bi_events["dialog_callbacks"])
# Register callback events
bi_events["callback"] = BoundingInfoEventCallback()
bi_events["callback_id"] = RLPy.REventHandler.RegisterCallback(bi_events["callback"])
get_bounding_info() # Retrieve the bounding info on start up
APIs Used
You can research the following references for the APIs deployed in this code.
