def arsenal_materialIDset(selection = list()):
if len(selection) == 0 or selection is None:
OpenMaya.MGlobal.displayError('[Arsenal ToolBox] No material(s) node(s) or shading(s) engine node(s) selected or found.')
return
for mySelect in selection:
if pm.objectType(mySelect) in ('particleCloud', 'shaderGlow', 'hairTubeShader', 'layeredShader', 'oceanShader', 'useBackground'):
print '[Arsenal ToolBox] ' + mySelect.name() + ' must not have materialID.'
continue
if not pm.attributeQuery('vrayColorId', n=mySelect.name(), ex=True) or not pm.attributeQuery('vrayMaterialId', n=mySelect.name(), ex=True):
print '[Arsenal ToolBox] Material ID attributes of ' + mySelect.name() + " doen't exist."
continue
if mySelect.vrayColorId.isLocked() or mySelect.vrayMaterialId.isLocked():
print '[Arsenal ToolBox] Material ID attributes of ' + mySelect.name() + ' is locked.'
continue
(multimatteID, rgb,) = arsenal_generateNumberFromString(string=mySelect.name())
if multimatteID is None:
OpenMaya.MGlobal.displayError('[Arsenal ToolBox] Can set ID.')
return
if not mySelect.vrayColorId.isLocked():
mySelect.vrayColorId.set(rgb[0], rgb[1], rgb[2], type='double3')
print '[Arsenal ToolBox] vrayColorId attributes of ' + mySelect.name() + ' setted.'
else:
print '[Arsenal ToolBox] vrayColorId attributes of ' + mySelect.name() + ' is locked. Skipped.'
if not mySelect.vrayMaterialId.isLocked():
mySelect.vrayMaterialId.set(multimatteID)
print '[Arsenal ToolBox] vrayMaterialId attributes of ' + mySelect.name() + ' setted.'
else:
print '[Arsenal ToolBox] vrayMaterialId attributes of ' + mySelect.name() + ' is locked. Skipped.'
def get_non_linear_type(self, **kwargs):
non_linear_node = kwargs.get("non_linear_node", None)
node_type = self.nonLinear_dict["other"]
for key in self.nonLinear_dict.keys():
if pm.attributeQuery(key, node=non_linear_node, exists=True):
node_type = self.nonLinear_dict[key]
return node_type
def arsenal_materialIDdelete(selection = list()):
if len(selection) == 0 or selection is None:
OpenMaya.MGlobal.displayError('[Arsenal ToolBox] No material(s) node(s) or shading(s) engine node(s) selected or found.')
return
for mySelect in selection:
if pm.objectType(mySelect) in ('particleCloud', 'shaderGlow', 'hairTubeShader', 'layeredShader', 'oceanShader', 'useBackground'):
print '[Arsenal ToolBox] ' + mySelect.name() + ' must not have materialID.'
continue
if not pm.attributeQuery('vrayColorId', n=mySelect.name(), ex=True) or not pm.attributeQuery('vrayMaterialId', n=mySelect.name(), ex=True):
print '[Arsenal ToolBox] Material ID attributes of ' + mySelect.name() + " doen't exist."
continue
if mySelect.vrayColorId.isLocked() or mySelect.vrayMaterialId.isLocked():
print '[Arsenal ToolBox] Material ID attributes of ' + mySelect.name() + ' is locked.'
continue
pm.mel.eval('vray addAttributesFromGroup ' + mySelect.name() + ' vray_material_id 0;')
print '[Arsenal ToolBox] Remove material ID attributes to ' + mySelect.name()
def initializeSet(self, *args):
self.vraySettings = pm.PyNode('vraySettings')
if pm.attributeQuery('deeXVrayFastOptimized', n=self.vraySettings.name(), ex=True):
self.deeXVrayFastOptimized = True
self.vraySettings.samplerType.set(1)
if not pm.attributeQuery('deeXVrayFastLastQuality', n=self.vraySettings.name(), ex=True):
self.deeXVrayFastLastQuality = 50
locked = False
if pm.lockNode(self.vraySettings.name(), query=True, lock=True)[0]:
locked = True
pm.lockNode(self.vraySettings.name(), lock=False)
pm.addAttr(self.vraySettings.name(), ln='deeXVrayFastLastQuality', at='long')
if locked:
pm.lockNode(self.vraySettings.name(), lock=True)
self.vraySettings.deeXVrayFastLastQuality.set(self.deeXVrayFastLastQuality)
else:
self.deeXVrayFastLastQuality = self.vraySettings.deeXVrayFastLastQuality.get()
def backSetting(self, *args):
if pm.attributeQuery('deeXVrayFastActualSettings', n='vraySettings', ex=True):
if pm.objExists('deeXVrayFastExpression'):
pm.delete('deeXVrayFastExpression')
print '[Arsenal Quality] OdeeXVrayFastExpression deleted.'
lines = pm.getAttr('vraySettings.deeXVrayFastActualSettings')
dico = eval(lines)
for myAttr in dico:
value = dico[myAttr]
if type(dico[myAttr]) == list:
value = dico[myAttr][0]
if value:
try:
locked = 0
if pm.getAttr('vraySettings.' + myAttr, lock=True) == 1:
pm.setAttr('vraySettings.' + myAttr, lock=False)
locked = 1
pm.setAttr('vraySettings.' + myAttr, value)
if locked == 1:
pm.setAttr('vraySettings.' + myAttr, lock=True)
except:
print '[Arsenal Quality] ' + myAttr + ' value can not be setted.'
locked = False
if pm.lockNode('vraySettings', query=True, lock=True)[0]:
locked = True
pm.lockNode('vraySettings', lock=False)
attToDelete = ['deeXVrayFastLastQuality',
'deeXVrayFastOptimized',
'deeXVrayFastActualSettings',
'deeXVrayFastoptimizationChooserSettings',
'deeXVrayFastLastTypePreset',
'deeXVrayFastLastPresetPreComp']
for myAttr in attToDelete:
if pm.attributeQuery(myAttr, n='vraySettings', ex=True):
pm.deleteAttr('vraySettings.' + myAttr)
if locked:
pm.lockNode('vraySettings', lock=True)
print '[Arsenal Quality] Original settings applied.'
else:
print '[Arsenal Quality] deeXVrayFastActualSettings attribute not found'
def optimizeLights(self):
allLights = pm.ls(type=['VRayLightIESShape',
'VRayLightRectShape',
'VRayLightSphereShape',
'VRayLightDomeShape',
'directionalLight',
'pointLight',
'spotLight',
'areaLight'])
for myLight in allLights:
if pm.attributeQuery('subdivs', n=myLight, ex=True):
if not myLight.subdivs.get(lock=True):
if myLight.nodeType() == 'VRayLightDomeShape':
myLight.subdivs.set(50)
else:
myLight.subdivs.set(5)
if pm.attributeQuery('shadowRays', n=myLight, ex=True):
if not myLight.shadowRays.get(lock=True):
myLight.shadowRays.set(5)
print '[Arsenal Quality] All lights optimized.'
def _genTypeGUI(self, attrname, typ, val):
if pm.attributeQuery(attrname, node=self.obj.node, h=True): return
pm.text(l='Attribute')
if typ == cr_types.url:
pm.attrControlGrp(attribute=self.obj.node.name()+'.'+attrname)
pm.button(label="Find", w=128, c=
pm.Callback(gui.setAttrFromFileDialog, self.obj.node,
attrname))
else:
pm.attrControlGrp(attribute=self.obj.node.name()+'.'+attrname)
pm.button(label="Ignore", w=128, en=False)
def arsenal_objectIDremove(selection = list()):
if len(selection) == 0 or selection is None:
OpenMaya.MGlobal.displayError('[Arsenal ToolBox] No mesh(s) selected or found. Select mesh(s), not transform(s).')
return
for mySelect in selection:
if not pm.attributeQuery('vrayObjectID', n=mySelect.name(), ex=True):
print '[Arsenal ToolBox] Object ID attributes of ' + mySelect.name() + " doen't exist."
continue
if mySelect.vrayObjectID.isLocked():
print '[Arsenal ToolBox] Object ID attributes of ' + mySelect.name() + ' is locked.'
continue
pm.mel.eval('vray addAttributesFromGroup ' + mySelect.name() + ' vray_objectID 0;')
print '[Arsenal ToolBox] Remove object ID attributes to ' + mySelect.name()
def saveSetting(self, *args):
dicoAttr = {}
for myAttr in pm.listAttr(self.vraySettings.name()):
try:
dicoAttr[myAttr] = pm.getAttr('vraySettings.' + myAttr)
except:
OpenMaya.MGlobal.displayInfo('[Arsenal Quality] ' + myAttr + ' value can not be saved or have not value.')
if not pm.attributeQuery('deeXVrayFastActualSettings', n=self.vraySettings.name(), ex=True):
locked = False
if pm.lockNode(self.vraySettings.name(), query=True, lock=True)[0]:
locked = True
pm.lockNode(self.vraySettings.name(), lock=False)
pm.addAttr(self.vraySettings.name(), ln='deeXVrayFastActualSettings', dt='string')
if locked:
pm.lockNode(self.vraySettings.name(), lock=True)
self.vraySettings.deeXVrayFastActualSettings.set(str(dicoAttr))
def arsenal_objectIDset(selection = list()):
if len(selection) == 0 or selection is None:
OpenMaya.MGlobal.displayError('[Arsenal ToolBox] No mesh(s) selected or found. Select mesh(s), not transform(s).')
return
for mySelect in selection:
if not pm.attributeQuery('vrayObjectID', n=mySelect.name(), ex=True):
print '[Arsenal ToolBox] Object ID attributes of ' + mySelect.name() + " doen't exist."
continue
if mySelect.vrayObjectID.isLocked():
print '[Arsenal ToolBox] Object ID attributes of ' + mySelect.name() + ' is locked.'
continue
objectID = arsenal_generateNumberFromString(string=mySelect.name())
if objectID is None:
OpenMaya.MGlobal.displayError('[Arsenal ToolBox] Can set ID.')
return
mySelect.vrayObjectID.set(objectID[0])
print '[Arsenal ToolBox] Object ID attributes of ' + mySelect.name() + ' setted.'
def get_non_linear_type(self, **kwargs):
"""
return the type of nonLinear node based on attributes of the nodes
"""
non_linear_node = kwargs.get("non_linear_node", None)
self.nonLinear_dict = {
"endFlareX": "flare",
"maxRadius": "wave",
"curvature": "bend",
"endSmoothness": "squash",
"endAngle": "twist",
"other": "sine"
}
node_type = self.nonLinear_dict["other"]
for key in self.nonLinear_dict.keys():
if pm.attributeQuery(key, node=non_linear_node, exists=True):
node_type = self.nonLinear_dict[key]
return node_type
def optimize(self):
self.deeXVrayFastOptimized = True
locked = False
if pm.lockNode(self.vraySettings.name(), query=True, lock=True)[0]:
locked = True
pm.lockNode(self.vraySettings.name(), lock=False)
if not pm.attributeQuery('deeXVrayFastOptimized', n=self.vraySettings.name(), ex=True):
pm.addAttr(self.vraySettings.name(), ln='deeXVrayFastOptimized', at='bool')
self.vraySettings.deeXVrayFastOptimized.set(1)
pm.addAttr(self.vraySettings.name(), ln='deeXVrayFastLastQuality', at='long')
self.vraySettings.deeXVrayFastLastQuality.set(50)
pm.addAttr('vraySettings', ln='deeXVrayFastLastTypePreset', dt='string')
self.vraySettings.deeXVrayFastLastTypePreset.set('deeX_interior')
pm.addAttr('vraySettings', ln='deeXVrayFastLastPresetPreComp', dt='string')
self.vraySettings.deeXVrayFastLastPresetPreComp.set('deeX_basic')
pm.addAttr('vraySettings', ln='deeXVrayFastoptimizationChooserSettings', dt='string')
self.vraySettings.deeXVrayFastoptimizationChooserSettings.set("{'OptimizationChooserGlobalOptionInt': [False, 0], 'OptimizationChooserImageSamplerInt': [False, 0], 'OptimizationChooserDMCSamplerInt': [False, 0], 'OptimizationChooserIrradianceMapInt': [False, 0], 'OptimizationChooserLightCacheInt': [False, 0], 'OptimizationChooserSystemInt': [False, 0]}")
if locked:
pm.lockNode(self.vraySettings.name(), lock=True)
self.initAttributes()
self.refresh()
def create_switching(self):
# Create setDrivenKey on layered texture
sel_switch = self.text_lst.getSelectItem()[0]
enum_attr_list = pm.attributeQuery(sel_switch,
node=self.ctr,
listEnum=True)
enum_attr_list = enum_attr_list[0].split(":")
self.lyr_tex_sel = pm.ls(selection=True)
if not self.lyr_tex_sel:
pm.displayError("Please select layered texture node")
return None
self.lyr_tex_sel = self.lyr_tex_sel[0]
if not isinstance(self.lyr_tex_sel, pm.LayeredTexture):
pm.displayError("Please select layered texture node type")
return None
lyr_attr_lst = self.get_tex_layer_attrs()
if not lyr_attr_lst:
return None
if not len(enum_attr_list) == len(lyr_attr_lst):
pm.displayError("Switch and Layers number mismatch")
return None
driver_attr = self.ctr + "." + sel_switch
for driver_index in range(len(enum_attr_list)):
for driven_index in range(len(lyr_attr_lst)):
driven_attr = self.lyr_tex_sel + "." + lyr_attr_lst[
driven_index]
driven_val = 0
if driver_index == driven_index:
driven_val = 1
pm.setDrivenKeyframe(driven_attr,
currentDriver=driver_attr,
driverValue=driver_index,
value=driven_val)
return None
def refresh(self):
if not self.deeXVrayFastOptimized:
return
lines = self.vraySettings.deeXVrayFastoptimizationChooserSettings.get()
dicoOptimizationChooser = eval(lines)
valueAs = float(self.vraySettings.width.get() * 1.0 / (self.vraySettings.height.get() * 1.0))
pm.mel.eval('vrayUpdateAspectRatio;')
self.vraySettings.aspectRatio.set(valueAs)
pm.mel.eval('vrayChangeResolution();')
resolution = self.vraySettings.width.get() * self.vraySettings.height.get()
realQuality = self.deeXVrayFastLastQuality
enable = True
if dicoOptimizationChooser:
if dicoOptimizationChooser['OptimizationChooserGlobalOptionInt'][0]:
realQuality += dicoOptimizationChooser['OptimizationChooserGlobalOptionInt'][1]
if enable:
multiplier = (float(self.vraySettings_globopt_mtl_maxDepthH) - float(self.vraySettings_globopt_mtl_maxDepthM)) / 50
minValue = float(self.vraySettings_globopt_mtl_maxDepthM) - multiplier * 50
if pm.attributeQuery('globopt_mtl_limitDepth', n='vraySettings', ex=True):
if not self.vraySettings.globopt_mtl_limitDepth.get(lock=True):
self.vraySettings.globopt_mtl_limitDepth.set(1)
value = minValue + realQuality * multiplier
if value <= 2.0:
value = 2.0
if not self.vraySettings.globopt_mtl_maxDepth.get(lock=True):
self.vraySettings.globopt_mtl_maxDepth.set(value)
realQuality = self.deeXVrayFastLastQuality
enable = True
if dicoOptimizationChooser:
if dicoOptimizationChooser['OptimizationChooserImageSamplerInt'][0]:
realQuality += dicoOptimizationChooser['OptimizationChooserImageSamplerInt'][1]
if enable:
multiplier = (float(self.vraySettings_dmcMaxSubdivsH) - float(self.vraySettings_dmcMaxSubdivsM)) / 50
minValue = float(self.vraySettings_dmcMaxSubdivsM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 2:
value = 2.0
n = math.log(307200.0 / resolution) / math.log(4.0) * -1
subdi = math.ceil(value / float(self.multiplicator_vraySettings_dmcMaxSubdivs) ** n)
if pm.attributeQuery('dmcMaxSubdivs', n='vraySettings', ex=True):
if not self.vraySettings.dmcMaxSubdivs.get(lock=True):
self.vraySettings.dmcMaxSubdivs.set(subdi)
multiplier = (float(self.vraySettings_dmcMinSubdivsH) - float(self.vraySettings_dmcMinSubdivsM)) / 50
minValue = float(self.vraySettings_dmcMinSubdivsM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 1:
value = 1
if pm.attributeQuery('dmcMinSubdivs', n='vraySettings', ex=True):
if not self.vraySettings.dmcMinSubdivs.get(lock=True):
self.vraySettings.dmcMinSubdivs.set(value)
multiplier = (float(self.vraySettings_dmcThresholdM) - float(self.vraySettings_dmcThresholdH)) / 50
minValue = float(self.vraySettings_dmcThresholdM) + multiplier * 50
value = minValue - realQuality * multiplier
if value <= 0.001:
value = 0.001
if pm.attributeQuery('dmcThreshold', n='vraySettings', ex=True):
if not self.vraySettings.dmcThreshold.get(lock=True):
self.vraySettings.dmcThreshold.set(value)
realQuality = self.deeXVrayFastLastQuality
enable = True
if dicoOptimizationChooser:
if dicoOptimizationChooser['OptimizationChooserIrradianceMapInt'][0]:
realQuality += dicoOptimizationChooser['OptimizationChooserIrradianceMapInt'][1]
if enable:
multiplier = (float(self.vraySettings_imap_minRateH) - float(self.vraySettings_imap_minRateM)) / 50
minValue = float(self.vraySettings_imap_minRateM) - multiplier * 50
value = minValue + realQuality * multiplier
n = math.log(307200.0 / resolution) / math.log(4.0) * -1
subdi = round(value + float(self.multiplicator_vraySettings_imap_minRate) * n)
if pm.attributeQuery('imap_minRate', n='vraySettings', ex=True):
if not self.vraySettings.imap_minRate.get(lock=True):
self.vraySettings.imap_minRate.set(subdi)
multiplier = (float(self.vraySettings_imap_maxRateH) - float(self.vraySettings_imap_maxRateM)) / 50
minValue = float(self.vraySettings_imap_maxRateM) - multiplier * 50
value = minValue + realQuality * multiplier
if value >= -1.0:
value = -1.0
n = math.log(307200.0 / resolution) / math.log(4.0) * -1
subdi = round(value + float(self.multiplicator_vraySettings_imap_maxRate) * n)
if pm.attributeQuery('imap_maxRate', n='vraySettings', ex=True):
if not self.vraySettings.imap_maxRate.get(lock=True):
self.vraySettings.imap_maxRate.set(subdi)
multiplier = (float(self.vraySettings_imap_colorThresholdM) - float(self.vraySettings_imap_colorThresholdH)) / 50
minValue = float(self.vraySettings_imap_colorThresholdM) + multiplier * 50
value = minValue - realQuality * multiplier
if value <= 0.001:
value = 0.001
if pm.attributeQuery('imap_colorThreshold', n='vraySettings', ex=True):
if not self.vraySettings.imap_colorThreshold.get(lock=True):
self.vraySettings.imap_colorThreshold.set(value)
multiplier = (float(self.vraySettings_imap_normalThresholdM) - float(self.vraySettings_imap_normalThresholdH)) / 50
minValue = float(self.vraySettings_imap_normalThresholdM) + multiplier * 50
value = minValue - realQuality * multiplier
if value <= 0.001:
value = 0.001
if pm.attributeQuery('imap_normalThreshold', n='vraySettings', ex=True):
if not self.vraySettings.imap_normalThreshold.get(lock=True):
self.vraySettings.imap_normalThreshold.set(value)
multiplier = (float(self.vraySettings_imap_distanceThresholdH) - float(self.vraySettings_imap_distanceThresholdM)) / 50
minValue = float(self.vraySettings_imap_distanceThresholdM) - multiplier * 50
value = minValue + multiplier * realQuality
if value <= 0:
value = 0
if pm.attributeQuery('imap_distanceThreshold', n='vraySettings', ex=True):
if not self.vraySettings.imap_distanceThreshold.get(lock=True):
self.vraySettings.imap_distanceThreshold.set(value)
multiplier = (float(self.vraySettings_imap_subdivsM) - float(self.vraySettings_imap_subdivsH)) / 50
minValue = float(self.vraySettings_imap_subdivsM) + multiplier * 50
value = minValue - realQuality * multiplier
if value <= 1:
value = 1
if pm.attributeQuery('imap_subdivs', n='vraySettings', ex=True):
if not self.vraySettings.imap_subdivs.get(lock=True):
self.vraySettings.imap_subdivs.set(value)
multiplier = (float(self.vraySettings_imap_interpSamplesM) - float(self.vraySettings_imap_interpSamplesH)) / 50
minValue = float(self.vraySettings_imap_interpSamplesM) + multiplier * 50
value = minValue - realQuality * multiplier
if value <= 1:
value = 1
if pm.attributeQuery('imap_interpSamples', n='vraySettings', ex=True):
if not self.vraySettings.imap_interpSamples.get(lock=True):
self.vraySettings.imap_interpSamples.set(value)
multiplier = (float(eval(str(self.vraySettings_imap_detailRadiusH))) - float(self.vraySettings_imap_detailRadiusM)) / 50
minValue = float(self.vraySettings_imap_detailRadiusM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 1:
value = 1
n = math.log(307200.0 / resolution) / math.log(4.0) * -1
radius = value * float(self.multiplicator_vraySettings_imap_detailRadius) ** n
if pm.attributeQuery('imap_detailRadius', n='vraySettings', ex=True):
if not self.vraySettings.imap_detailRadius.get(lock=True):
self.vraySettings.imap_detailRadius.set(radius)
multiplier = (float(self.vraySettings_imap_detailSubdivsMultH) - float(self.vraySettings_imap_detailSubdivsMultM)) / 50
minValue = float(self.vraySettings_imap_detailSubdivsMultM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 0.001:
value = 0.001
if pm.attributeQuery('imap_detailSubdivsMult', n='vraySettings', ex=True):
if not self.vraySettings.imap_detailSubdivsMult.get(lock=True):
self.vraySettings.imap_detailSubdivsMult.set(value)
realQuality = self.deeXVrayFastLastQuality
enable = True
if dicoOptimizationChooser:
if dicoOptimizationChooser['OptimizationChooserLightCacheInt'][0]:
realQuality += dicoOptimizationChooser['OptimizationChooserLightCacheInt'][1]
if enable:
multiplier = (float(self.vraySettings_subdivsH) - float(self.vraySettings_subdivsM)) / 50
minValue = float(self.vraySettings_subdivsM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 388:
value = 388
if pm.attributeQuery('subdivs', n='vraySettings', ex=True):
if not self.vraySettings.subdivs.get(lock=True):
self.vraySettings.subdivs.set(value)
multiplier = (float(self.vraySettings_sampleSizeM) - float(self.vraySettings_sampleSizeH)) / 50
minValue = float(self.vraySettings_sampleSizeM) + multiplier * 50
value = minValue - realQuality * multiplier
if value >= 0.02:
value = 0.02
if value <= 0.001:
value = 0.001
if pm.attributeQuery('sampleSize', n='vraySettings', ex=True):
if not self.vraySettings.sampleSize.get(lock=True):
self.vraySettings.sampleSize.set(value)
multiplier = (float(self.vraySettings_prefilterSamplesH) - float(self.vraySettings_prefilterSamplesM)) / 50
minValue = float(self.vraySettings_prefilterSamplesM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 11:
value = 11
if pm.attributeQuery('prefilter', n='vraySettings', ex=True):
if not self.vraySettings.prefilter.get(lock=True):
self.vraySettings.prefilter.set(1)
if pm.attributeQuery('prefilterSamples', n='vraySettings', ex=True):
if not self.vraySettings.prefilterSamples.get(lock=True):
self.vraySettings.prefilterSamples.set(value)
if pm.attributeQuery('useForGlossy', n='vraySettings', ex=True):
if not self.vraySettings.useForGlossy.get(lock=True):
self.vraySettings.useForGlossy.set(1)
if pm.attributeQuery('useRetraceThreshold', n='vraySettings', ex=True):
if not self.vraySettings.useRetraceThreshold.get(lock=True):
self.vraySettings.useRetraceThreshold.set(1)
multiplier = (float(self.vraySettings_filterSamplesH) - float(self.vraySettings_filterSamplesM)) / 50
minValue = float(self.vraySettings_filterSamplesM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 3:
value = 3
if pm.attributeQuery('filterSamples', n='vraySettings', ex=True):
if not self.vraySettings.filterSamples.get(lock=True):
self.vraySettings.filterSamples.set(value)
line = 'string $core[] = `hardware -npr`;\nvraySettings.numPasses = $core[0];'
if not pm.objExists('deeXVrayFastExpression'):
pm.expression(n='deeXVrayFastExpression', s=line)
else:
actualExpression = pm.expression('deeXVrayFastExpression', s=True, query=True)
if line not in actualExpression:
pm.expression('deeXVrayFastExpression', edit=True, s=actualExpression + '\n' + line)
else:
line = 'string $core[] = `hardware -npr`;\nvraySettings.numPasses = $core[0];'
if pm.objExists('deeXVrayFastExpression'):
actualExpression = pm.expression('deeXVrayFastExpression', s=True, query=True)
if line in actualExpression:
pm.expression('deeXVrayFastExpression', edit=True, s=actualExpression.replace(line, ''))
realQuality = self.deeXVrayFastLastQuality
enable = True
if dicoOptimizationChooser:
if dicoOptimizationChooser['OptimizationChooserDMCSamplerInt'][0]:
realQuality += dicoOptimizationChooser['OptimizationChooserDMCSamplerInt'][1]
if enable:
multiplier = (float(self.vraySettings_dmcs_adaptiveAmountM) - float(self.vraySettings_dmcs_adaptiveAmountH)) / 50
minValue = float(self.vraySettings_dmcs_adaptiveAmountM) + multiplier * 50
value = minValue - realQuality * multiplier
if value >= 1.0:
value = 1.0
if value <= 0.001:
value = 0.001
if pm.attributeQuery('dmcs_adaptiveAmount', n='vraySettings', ex=True):
if not self.vraySettings.dmcs_adaptiveAmount.get(lock=True):
self.vraySettings.dmcs_adaptiveAmount.set(value)
multiplier = (float(self.vraySettings_dmcs_adaptiveThresholdM) - float(self.vraySettings_dmcs_adaptiveThresholdH)) / 50
minValue = float(self.vraySettings_dmcs_adaptiveThresholdM) + multiplier * 50
value = minValue - realQuality * multiplier
if value <= 0.001:
value = 0.001
if pm.attributeQuery('dmcs_adaptiveThreshold', n='vraySettings', ex=True):
if not self.vraySettings.dmcs_adaptiveThreshold.get(lock=True):
self.vraySettings.dmcs_adaptiveThreshold.set(value)
multiplier = (float(self.vraySettings_dmcs_adaptiveMinSamplesH) - float(self.vraySettings_dmcs_adaptiveMinSamplesM)) / 50
minValue = float(self.vraySettings_dmcs_adaptiveMinSamplesM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 8.0:
value = 8.0
if pm.attributeQuery('dmcs_adaptiveMinSamples', n='vraySettings', ex=True):
if not self.vraySettings.dmcs_adaptiveMinSamples.get(lock=True):
self.vraySettings.dmcs_adaptiveMinSamples.set(value)
multiplier = (float(self.vraySettings_dmcs_subdivsMultH) - float(self.vraySettings_dmcs_subdivsMultM)) / 50
minValue = float(self.vraySettings_dmcs_subdivsMultM) - multiplier * 50
value = minValue + realQuality * multiplier
if value <= 0.5:
value = 0.5
if pm.attributeQuery('dmcs_subdivsMult', n='vraySettings', ex=True):
if not self.vraySettings.dmcs_subdivsMult.get(lock=True):
self.vraySettings.dmcs_subdivsMult.set(value)
realQuality = self.deeXVrayFastLastQuality
enable = True
if dicoOptimizationChooser:
if dicoOptimizationChooser['OptimizationChooserSystemInt'][0]:
realQuality += dicoOptimizationChooser['OptimizationChooserSystemInt'][1]
if enable:
if pm.attributeQuery('ddisplac_maxSubdivs', n='vraySettings', ex=True):
if not self.vraySettings.ddisplac_maxSubdivs.get(lock=True):
self.vraySettings.ddisplac_maxSubdivs.set(23)
if pm.attributeQuery('sys_regsgen_xylocked', n='vraySettings', ex=True):
if not self.vraySettings.sys_regsgen_xylocked.get(lock=True):
self.vraySettings.sys_regsgen_xylocked.set(0)
core = int(pm.hardware(npr=True)[0])
count = 0
value = 60
for bucketSize in [self.vraySettings.width.get(), self.vraySettings.height.get()]:
finalValue = 0
lastValue = 80
for i in range(40, 80):
if bucketSize % i <= lastValue:
lastValue = bucketSize % i
if lastValue == 0:
finalValue = i
else:
finalValue = i + 1
if count == 0:
if self.vraySettings.width.get() <= 40 * core:
value = math.ceil(self.vraySettings.width.get() / int(core))
if value <= 1:
value = 1
if pm.attributeQuery('sys_regsgen_xc', n='vraySettings', ex=True):
if not self.vraySettings.sys_regsgen_xc.get(lock=True):
self.vraySettings.sys_regsgen_xc.set(value)
else:
value = finalValue
if value <= 1:
value = 1
if pm.attributeQuery('sys_regsgen_xc', n='vraySettings', ex=True):
if not self.vraySettings.sys_regsgen_xc.get(lock=True):
self.vraySettings.sys_regsgen_xc.set(value)
elif self.vraySettings.height.get() <= 40 * core:
value = math.ceil(self.vraySettings.height.get() / int(core))
if value <= 1:
value = 1
if pm.attributeQuery('sys_regsgen_yc', n='vraySettings', ex=True):
if not self.vraySettings.sys_regsgen_yc.get(lock=True):
self.vraySettings.sys_regsgen_yc.set(value)
else:
value = finalValue
if value <= 1:
value = 1
if pm.attributeQuery('sys_regsgen_yc', n='vraySettings', ex=True):
if not self.vraySettings.sys_regsgen_yc.get(lock=True):
self.vraySettings.sys_regsgen_yc.set(value)
count += 1
if pm.attributeQuery('sys_regsgen_seqtype', n='vraySettings', ex=True):
if not self.vraySettings.sys_regsgen_seqtype.get(lock=True):
self.vraySettings.sys_regsgen_seqtype.set(3)
line = 'python("import maya.cmds as cmds\\nvalue = cmds.memory(phy=True, megaByte=True)\\nif isinstance( value, int ):\\n\\tmemory = float(value)\\nelse:\\n\\tmemory = float(value[0])");\nfloat $memory = `python "memory"`;\nvraySettings.sys_rayc_dynMemLimit = $memory - 1500;'
if not pm.objExists('deeXVrayFastExpression'):
pm.expression(n='deeXVrayFastExpression', s=line)
else:
actualExpression = pm.expression('deeXVrayFastExpression', s=True, query=True)
if line not in actualExpression:
pm.expression('deeXVrayFastExpression', edit=True, s=actualExpression + '\n' + line)
else:
line = 'python("import maya.cmds as cmds\\nvalue = cmds.memory(phy=True, megaByte=True)\\nif isinstance( value, int ):\\n\\tmemory = float(value)\\nelse:\\n\\tmemory = float(value[0])");\nfloat $memory = `python "memory"`;\nvraySettings.sys_rayc_dynMemLimit = $memory - 1500;'
if pm.objExists('deeXVrayFastExpression'):
actualExpression = pm.expression('deeXVrayFastExpression', s=True, query=True)
if line in actualExpression:
pm.expression('deeXVrayFastExpression', edit=True, s=actualExpression.replace(line, ''))
def initAttributes(self):
if not pm.attributeQuery('deeXVrayFastOptimized', n=self.vraySettings.name(), ex=True):
self.deeXVrayFastOptimized = False
return
self.deeXVrayFastLastQuality = self.vraySettings.deeXVrayFastLastQuality.get()
self.deeXVrayFastLastTypePreset = self.vraySettings.deeXVrayFastLastTypePreset.get()
self.deeXVrayFastLastPresetPreComp = self.vraySettings.deeXVrayFastLastPresetPreComp.get()
self.deeXVrayFastoptimizationChooserSettings = self.vraySettings.deeXVrayFastoptimizationChooserSettings.get()
(dico, dicoMultiplicator, commentString,) = self.presetTypeInitGetValue(self.deeXVrayFastLastTypePreset)
for myAttr in dico:
if myAttr == 'vraySettings.globopt_mtl_maxDepth':
self.vraySettings_globopt_mtl_maxDepthM = dico[myAttr][0]
self.vraySettings_globopt_mtl_maxDepthH = dico[myAttr][1]
if myAttr == 'vraySettings.dmcMaxSubdivs':
self.vraySettings_dmcMaxSubdivsM = dico[myAttr][0]
self.vraySettings_dmcMaxSubdivsH = dico[myAttr][1]
if myAttr == 'vraySettings.dmcMinSubdivs':
self.vraySettings_dmcMinSubdivsM = dico[myAttr][0]
self.vraySettings_dmcMinSubdivsH = dico[myAttr][1]
if myAttr == 'vraySettings.dmcThreshold':
self.vraySettings_dmcThresholdM = dico[myAttr][0]
self.vraySettings_dmcThresholdH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_minRate':
self.vraySettings_imap_minRateM = dico[myAttr][0]
self.vraySettings_imap_minRateH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_maxRate':
self.vraySettings_imap_maxRateM = dico[myAttr][0]
self.vraySettings_imap_maxRateH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_colorThreshold':
self.vraySettings_imap_colorThresholdM = dico[myAttr][0]
self.vraySettings_imap_colorThresholdH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_normalThreshold':
self.vraySettings_imap_normalThresholdM = dico[myAttr][0]
self.vraySettings_imap_normalThresholdH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_distanceThreshold':
self.vraySettings_imap_distanceThresholdM = dico[myAttr][0]
self.vraySettings_imap_distanceThresholdH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_subdivs':
self.vraySettings_imap_subdivsM = dico[myAttr][0]
self.vraySettings_imap_subdivsH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_interpSamples':
self.vraySettings_imap_interpSamplesM = dico[myAttr][0]
self.vraySettings_imap_interpSamplesH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_detailRadius':
self.vraySettings_imap_detailRadiusM = dico[myAttr][0]
self.vraySettings_imap_detailRadiusH = dico[myAttr][1]
if myAttr == 'vraySettings.imap_detailSubdivsMult':
self.vraySettings_imap_detailSubdivsMultM = dico[myAttr][0]
self.vraySettings_imap_detailSubdivsMultH = dico[myAttr][1]
if myAttr == 'vraySettings.subdivs':
self.vraySettings_subdivsM = dico[myAttr][0]
self.vraySettings_subdivsH = dico[myAttr][1]
if myAttr == 'vraySettings.sampleSize':
self.vraySettings_sampleSizeM = dico[myAttr][0]
self.vraySettings_sampleSizeH = dico[myAttr][1]
if myAttr == 'vraySettings.prefilterSamples':
self.vraySettings_prefilterSamplesM = dico[myAttr][0]
self.vraySettings_prefilterSamplesH = dico[myAttr][1]
if myAttr == 'vraySettings.filterSamples':
self.vraySettings_filterSamplesM = dico[myAttr][0]
self.vraySettings_filterSamplesH = dico[myAttr][1]
if myAttr == 'vraySettings.dmcs_adaptiveAmount':
self.vraySettings_dmcs_adaptiveAmountM = dico[myAttr][0]
self.vraySettings_dmcs_adaptiveAmountH = dico[myAttr][1]
if myAttr == 'vraySettings.dmcs_adaptiveThreshold':
self.vraySettings_dmcs_adaptiveThresholdM = dico[myAttr][0]
self.vraySettings_dmcs_adaptiveThresholdH = dico[myAttr][1]
if myAttr == 'vraySettings.dmcs_adaptiveMinSamples':
self.vraySettings_dmcs_adaptiveMinSamplesM = dico[myAttr][0]
self.vraySettings_dmcs_adaptiveMinSamplesH = dico[myAttr][1]
if myAttr == 'vraySettings.dmcs_subdivsMult':
self.vraySettings_dmcs_subdivsMultM = dico[myAttr][0]
self.vraySettings_dmcs_subdivsMultH = dico[myAttr][1]
for myAttr in dicoMultiplicator:
if myAttr == 'vraySettings.dmcMaxSubdivs':
self.multiplicator_vraySettings_dmcMaxSubdivs = dicoMultiplicator[myAttr][0]
if myAttr == 'vraySettings.imap_minRate':
self.multiplicator_vraySettings_imap_minRate = dicoMultiplicator[myAttr][0]
if myAttr == 'vraySettings.imap_maxRate':
self.multiplicator_vraySettings_imap_maxRate = dicoMultiplicator[myAttr][0]
if myAttr == 'vraySettings.imap_detailRadius':
self.multiplicator_vraySettings_imap_detailRadius = dicoMultiplicator[myAttr][0]
self.presetComment = commentString
def setup_ik_spline(**kwargs):
curve = kwargs.get("curve", None)
joint_chain = kwargs.get("joint_chain", None)
auto_curve = kwargs.get("auto_curve", True)
use_curve = kwargs.get("use_curve", None)
spans = kwargs.get("number_of_spans", 4)
ctrl_jnts = kwargs.get("num_control_joints", 3)
ik_name = kwargs.get("ik_name", "ikHandle")
scale_stretch = kwargs.get("scale_stretch", False)
create_dense_chain = kwargs.get("dense_chain", False)
dense_division = kwargs.get("dense_chain_divisions", 3)
auto_simplify = kwargs.get("auto_simplify_curve", False)
stretch_exp = kwargs.get("stretch_exp", False)
global_scale_check = kwargs.get("global_scale_check", False)
global_scale_attr = kwargs.get("global_scale_attr", None)
pm.select(joint_chain, hierarchy=True)
joint_chain = pm.ls(selection=True)
if not isinstance(joint_chain[0], pm.Joint):
pm.displayInfo("selection should be of type joint")
return None
if len(joint_chain) < 2:
pm.displayInfo("Chain should consist of more than one joint")
return None
if (global_scale_check):
if (global_scale_attr is None):
pm.displayInfo("Please input global scale attribute")
return None
else:
obj = global_scale_attr.split(".")[0]
global_attr = global_scale_attr.split(".")[1]
check_global_attr = pm.attributeQuery(global_attr,
node=obj,
exists=True)
if not check_global_attr:
pm.displayInfo("Invalid global scale attribute")
return None
start_jnt = joint_chain[0]
end_joint = joint_chain[-1]
if create_dense_chain:
rep_chain = pm.duplicate(joint_chain)
start_jnt = rep_chain[0]
end_joint = rep_chain[-1]
dense_chain(joints=rep_chain, joints_inbetween=dense_division)
rep_chain.append(end_joint)
for index in range(len(joint_chain)):
pm.parentConstraint(rep_chain[index],
joint_chain[index],
maintainOffset=False)
#pm.scaleConstraint(rep_chain[index], joint_chain[index], maintainOffset=False)
pm.connectAttr(
str(rep_chain[index]) + ".scale",
str(joint_chain[index]) + ".scale")
pm.select(start_jnt, hierarchy=True)
new_chain = pm.ls(selection=True)
crv = ""
#print "START", start_jnt
#print "END",end_joint
if auto_curve:
ik_handle, eff, crv = pm.ikHandle(startJoint=start_jnt,
createCurve=auto_curve,
solver="ikSplineSolver",
numSpans=spans,
endEffector=end_joint,
simplifyCurve=auto_simplify)
else:
crv = pm.PyNode(use_curve)
ik_handle, eff = pm.ikHandle(startJoint=start_jnt,
curve=use_curve,
solver="ikSplineSolver",
endEffector=end_joint,
createCurve=False)
crv.inheritsTransform.set(0)
pm.rename(ik_handle, ik_name + "IK_Handle")
pm.rename(crv, ik_name + "IK_Curve")
ik_curve_shp = crv.getShape()
crv_info_node = pm.createNode("curveInfo")
pm.connectAttr(ik_curve_shp + ".worldSpace", crv_info_node + ".inputCurve")
'''
if stretch_exp:
if create_dense_chain:
stretch_expression(joints = new_chain, curve_info_node = crv_info_node, connect_scale = scale_stretch,
expression_name = ik_name+"_stretch_expression")
else:
stretch_expression(joints = joint_chain, curve_info_node = crv_info_node, connect_scale = scale_stretch,
expression_name = ik_name+"_stretch_expression")
'''
if ctrl_jnts:
if ctrl_jnts == 1:
print "Minimum 2 joints needed as controllers"
print "skipping control joint creation process"
pm.displayInfo("Minimum 2 joints needed as controllers")
else:
ctrl_jnts = joints_along_curve(number_of_joints=ctrl_jnts,
curve=crv,
bind_curve_to_joint=True)
pm.select(clear=True)
ctr_jnt_gp = pm.group(ctrl_jnts, name="control_joints")
#print "JNT NAME", ctr_jnt_gp
if stretch_exp:
pm.addAttr(ctrl_jnts[-1],
longName="Stretch",
attributeType="enum",
enumName="off:on",
keyable=True)
print "ATTRIBUTE TO", str(ctrl_jnts[-1])
if create_dense_chain:
stretch_expression(joints=new_chain,
curve_info_node=crv_info_node,
connect_scale=scale_stretch,
expression_name=ik_name + "_stretch_expression",
ctrl_attr=str(ctrl_jnts[-1]) + ".Stretch",
glbl_scl_stat=global_scale_check,
glbl_scl_attr=global_scale_attr)
else:
stretch_expression(joints=joint_chain,
curve_info_node=crv_info_node,
connect_scale=scale_stretch,
expression_name=ik_name + "_stretch_expression",
ctrl_attr=str(ctrl_jnts[-1]) + ".Stretch",
glbl_scl_stat=global_scale_check,
glbl_scl_attr=global_scale_attr)
final_group = pm.group(name=ik_name + "_ik_group", empty=True)
pm.parent(joint_chain[0], final_group)
pm.parent(crv, final_group)
pm.parent(ik_handle, final_group)
if ctrl_jnts > 1:
pm.parent(ctr_jnt_gp, final_group)
if create_dense_chain:
pm.select(clear=True)
dense_grp = pm.group(start_jnt, name="dense_chain_group")
pm.parent(dense_grp, final_group)
return None