class MapOperations(object):
""" class that contains operations applied to the entire mesh """
def __init__(self):
self.mll = MllInterface()
self.selection_name = []
self.ngs_layer_id = -1
self.ngs_influence = None
self.ngs_weight_list = []
self.ngs_vert_count = -1
self.max_value = -1.0
self.min_value = -1.0
def get_data(self):
self.selection_name = cmds.ls(selection=True)
self.ngs_layer_id = self.mll.getCurrentLayer()
self.ngs_influence = self.mll.getCurrentPaintTarget()
self.ngs_weight_list = self.mll.getInfluenceWeights(
self.ngs_layer_id, self.ngs_influence)
self.ngs_vert_count = self.mll.getVertCount()
self.max_value = max(self.ngs_weight_list)
self.min_value = min(self.ngs_weight_list)
def grow_map(self, intensity):
""" pushes the border of the active weight map outwards """
self.get_data()
new_weight_list = []
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if vertex_weight >= self.max_value:
new_weight_list.append(vertex_weight)
continue
vertex_name = '.'.join([self.selection_name[0], 'vtx[%d]' % i])
area_vertices = get_surrounding_verts(vertex_name)
weight_list = [self.ngs_weight_list[int(x)] for x in area_vertices]
max_avg = max(weight_list)
if max_avg <= self.min_value:
new_weight_list.append(vertex_weight)
continue
grow_weight = vertex_weight + (abs(vertex_weight - max_avg) *
intensity)
grow_weight = min(grow_weight, self.max_value)
new_weight_list.append(grow_weight)
self.mll.setInfluenceWeights(self.ngs_layer_id, self.ngs_influence,
new_weight_list)
def shrink_map(self, intensity):
""" pulls the border of the active weight map inwards """
self.get_data()
new_weight_list = []
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if vertex_weight <= self.min_value:
new_weight_list.append(vertex_weight)
continue
vertex_name = '.'.join([self.selection_name[0], 'vtx[%d]' % i])
area_vertices = get_surrounding_verts(vertex_name)
weight_list = [self.ngs_weight_list[int(x)] for x in area_vertices]
min_avg = min(weight_list)
if min_avg >= self.max_value:
new_weight_list.append(vertex_weight)
continue
shrink_weight = vertex_weight - (abs(vertex_weight - min_avg) *
intensity)
shrink_weight = max(shrink_weight, self.min_value)
new_weight_list.append(shrink_weight)
self.mll.setInfluenceWeights(self.ngs_layer_id, self.ngs_influence,
new_weight_list)
def conceal_map(self, intensity):
""" smooth operation for the active map by only lowering values """
self.get_data()
new_weight_list = []
threshold = 0.01 / (intensity / 0.1)
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if vertex_weight <= self.min_value:
new_weight_list.append(vertex_weight)
continue
vertex_name = '.'.join([self.selection_name[0], 'vtx[%d]' % i])
area_vertices = get_surrounding_verts(vertex_name)
weight_list = [self.ngs_weight_list[int(x)] for x in area_vertices]
weight_avg = sum(weight_list) / float(len(weight_list))
min_avg = min(weight_list)
if weight_avg >= self.max_value and abs(weight_avg -
vertex_weight) < threshold:
new_weight_list.append(vertex_weight)
continue
weight_diff = abs(weight_avg - vertex_weight)
conceal_weight = vertex_weight * (1 - (weight_diff * intensity))
conceal_weight = max(conceal_weight, min_avg)
new_weight_list.append(conceal_weight)
self.mll.setInfluenceWeights(self.ngs_layer_id, self.ngs_influence,
new_weight_list)
def spread_map(self, intensity):
""" smooth operation for the active map by only increasing values """
self.get_data()
new_weight_list = []
threshold = 0.01 / (intensity / 0.1)
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if vertex_weight >= self.max_value:
new_weight_list.append(vertex_weight)
continue
vertex_name = '.'.join([self.selection_name[0], 'vtx[%d]' % i])
area_vertices = get_surrounding_verts(vertex_name)
weight_list = [self.ngs_weight_list[int(x)] for x in area_vertices]
weight_avg = sum(weight_list) / float(len(weight_list))
max_avg = max(weight_list)
if weight_avg <= self.min_value and abs(weight_avg -
vertex_weight) < threshold:
new_weight_list.append(vertex_weight)
continue
weight_diff = abs(weight_avg - vertex_weight)
spread_weight = vertex_weight + weight_diff * intensity
spread_weight = min(spread_weight, max_avg)
new_weight_list.append(spread_weight)
self.mll.setInfluenceWeights(self.ngs_layer_id, self.ngs_influence,
new_weight_list)
def gain_map(self, intensity):
""" 'reverse scale' tool that only increases weight values above 0 """
self.get_data()
new_weight_list = []
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if vertex_weight == 0:
new_weight_list.append(vertex_weight)
continue
gain_weight = vertex_weight + (vertex_weight * intensity)
gain_weight = min(gain_weight, 1)
new_weight_list.append(gain_weight)
self.mll.setInfluenceWeights(self.ngs_layer_id, self.ngs_influence,
new_weight_list)
def contrast_map(self, intensity):
""" sharpens the edge of the active weight map """
self.get_data()
new_weight_list = []
avg_value = (self.max_value + self.min_value) / 2
normalized_range = self.max_value - self.min_value
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if not self.max_value > vertex_weight > self.min_value:
new_weight_list.append(vertex_weight)
continue
dist_value = vertex_weight - avg_value
modifier = norm.cdf(dist_value,
loc=0,
scale=(0.1 * normalized_range)) - vertex_weight
contrast_weight = vertex_weight + modifier * intensity
contrast_weight = max(self.min_value,
min(contrast_weight, self.max_value))
new_weight_list.append(contrast_weight)
self.mll.setInfluenceWeights(self.ngs_layer_id, self.ngs_influence,
new_weight_list)
class UseNgBrush(object):
""" setup for custom brush operations, a new instance is created on every brush stroke """
def __init__(self, surface_name):
self.surface = surface_name
self.stroke_id = None
self.mode = 1
self.value = 1
self.volumeThreshold = -0.1
self.mll = MllInterface()
self.selection_name = cmds.ls(selection=True)
self.mesh = cmds.listRelatives(self.selection_name[0], shapes=True)
self.ngs_layer_id = self.mll.getCurrentLayer()
self.ngs_influence = self.mll.getCurrentPaintTarget()
self.ngs_weight_list = self.mll.getInfluenceWeights(
self.ngs_layer_id, self.ngs_influence)
self.max_value = max(self.ngs_weight_list)
self.min_value = min(self.ngs_weight_list)
def stroke_initialize(self):
""" this function is executed before each brush stroke """
cmds.undoInfo(openChunk=True, undoName="paint stroke")
get_stroke_id = ngLayerPaintCtxInitialize(self.mesh[0])
self.stroke_id = int(get_stroke_id.split(" ")[1])
cmds.ngSkinLayer(paintOperation=self.mode, paintIntensity=self.value)
self.stroke_update()
return self.surface, self.stroke_id
def stroke_finalize(self):
""" this function is executed after each brush stroke """
if self.stroke_id:
cmds.ngLayerPaintCtxFinalize(self.stroke_id)
self.stroke_id = None
cmds.undoInfo(closeChunk=True)
def stroke_update(self):
""" updates certain attributes for the brush instance """
# self.mll = MllInterface()
# self.selection_name = cmds.ls(selection=True)
# self.mesh = cmds.listRelatives(self.selection_name[0], shapes=True)
# self.ngs_layer_id = self.mll.getCurrentLayer()
# self.ngs_influence = self.mll.getCurrentPaintTarget()
# self.ngs_weight_list = self.mll.getInfluenceWeights(self.ngs_layer_id, self.ngs_influence)
# self.max_value = max(self.ngs_weight_list)
# self.min_value = min(self.ngs_weight_list)
self.volumeThreshold = cmds.floatSlider("volume_slider",
q=True,
value=True)
def contrast_paint(self, vert_id, value):
""" sharpens the edge of the active weight map """
vertex_weight = self.ngs_weight_list[vert_id]
if not self.max_value > vertex_weight > self.min_value:
return
avg_value = (self.max_value + self.min_value) / 2
normalized_range = self.max_value - self.min_value
dist_value = vertex_weight - avg_value
modifier = norm.cdf(dist_value, loc=0,
scale=(0.1 * normalized_range)) - vertex_weight
contrast_weight = vertex_weight + (modifier * value)
contrast_weight = max(self.min_value,
min(contrast_weight, self.max_value))
cmds.ngSkinLayer(paintIntensity=contrast_weight)
cmds.ngLayerPaintCtxSetValue(self.stroke_id, vert_id, 1)
def conceal_paint(self, vert_id, value):
""" smooth operation that only lowers weight values """
vertex_weight = self.ngs_weight_list[vert_id]
if vertex_weight <= self.min_value:
return
vertex_name = '{}.vtx[{}]'.format(self.selection_name[0], vert_id)
area_vertices = get_surrounding_verts(vertex_name)
weight_list = [self.ngs_weight_list[int(x)] for x in area_vertices]
weight_avg = sum(weight_list) / float(len(weight_list))
min_avg = min(weight_list)
threshold = 0.01 / (value / 0.1)
if weight_avg >= self.max_value and abs(weight_avg -
vertex_weight) <= threshold:
return
weight_diff = abs(weight_avg - vertex_weight)
conceal_weight = vertex_weight * (1 - (weight_diff * value))
conceal_weight = max(conceal_weight, min_avg)
cmds.ngSkinLayer(paintIntensity=conceal_weight)
cmds.ngLayerPaintCtxSetValue(self.stroke_id, vert_id, 1)
def spread_paint(self, vert_id, value):
""" smooth operation that only increases weight values """
vertex_weight = self.ngs_weight_list[vert_id]
if vertex_weight >= self.max_value:
return
vertex_name = '.'.join([self.selection_name[0], 'vtx[%d]' % vert_id])
area_vertices = get_surrounding_verts(vertex_name)
weight_list = [self.ngs_weight_list[int(x)] for x in area_vertices]
weight_avg = sum(weight_list) / float(len(weight_list))
max_avg = max(weight_list)
threshold = 0.01 / (value / 0.1)
if weight_avg <= self.min_value and abs(weight_avg -
vertex_weight) <= threshold:
return
weight_diff = abs(weight_avg - vertex_weight)
spread_weight = vertex_weight + (weight_diff * value)
spread_weight = min(spread_weight, max_avg)
cmds.ngSkinLayer(paintIntensity=spread_weight)
cmds.ngLayerPaintCtxSetValue(self.stroke_id, vert_id, 1)
def gain_paint(self, vert_id, value):
""" increases existing weight values but preserves empty weights """
vertex_weight = self.ngs_weight_list[vert_id]
if vertex_weight == 0:
return
gain_weight = vertex_weight + (vertex_weight * value)
gain_weight = min(gain_weight, 1)
cmds.ngSkinLayer(paintIntensity=gain_weight)
cmds.ngLayerPaintCtxSetValue(self.stroke_id, vert_id, 1)
def volume_equalize(self, vert_id, value):
"""
i.e a volumetric match operation with a falloff.
applies weight values inside the brush radius onto other vertices inside a spherical volume
"""
origin_vertex = '.'.join([self.selection_name[0], 'vtx[%s]']) % vert_id
vertex_weight = self.ngs_weight_list[vert_id]
v1 = cmds.pointPosition(origin_vertex)
for i in range(len(self.ngs_weight_list)):
target_weight = self.ngs_weight_list[i]
if target_weight == vertex_weight:
continue
if i == vert_id:
continue
target_vertex = '.'.join([self.selection_name[0], 'vtx[%s]']) % i
v2 = cmds.pointPosition(target_vertex)
target_distance = sqrt((pow((v1[0] - v2[0]), 2)) +
(pow((v1[1] - v2[1]), 2)) +
(pow((v1[2] - v2[2]), 2)))
if target_distance > (self.volumeThreshold * value):
continue
falloff = (self.volumeThreshold -
target_distance) / self.volumeThreshold
eq_weight = target_weight - ((
(target_weight - vertex_weight) * value) * falloff)
cmds.ngSkinLayer(paintIntensity=eq_weight)
cmds.ngLayerPaintCtxSetValue(self.stroke_id, i, 1)
class Equalize(object):
def __init__(self):
self.mll = MllInterface()
self.ngs_vert_count = -1
self.ngs_layer_id = -1
self.intensity = -1
self.ngs_influence = None
self.vert_weight_dict = {}
self.vert_weight_list = []
self.ngs_weight_dict = {}
self.ngs_weight_list = []
self.new_weight_list = []
self.selection_vert = []
self.vertex_list = []
self.id_list = []
self.modes = {
"max": self.vert_max,
"min": self.vert_min,
"avg": self.vert_avg,
"first": self.vert_first,
"last": self.vert_last
}
def get_data(self, check):
self.ngs_weight_dict = {}
self.vert_weight_dict = {}
self.selection_vert = cmds.ls(os=True)
if not self.selection_vert:
return False
if not check:
self.ngs_influence = [("selected influence:",
self.mll.getCurrentPaintTarget())]
else:
self.ngs_influence = self.mll.listLayerInfluences(
layerId=None, activeInfluences=True)
self.mll = MllInterface()
self.ngs_layer_id = self.mll.getCurrentLayer()
self.ngs_vert_count = self.mll.getVertCount()
self.vertex_list = cmds.ls(self.selection_vert, flatten=True)
self.id_list = list(
map(lambda x: x[x.find("[") + 1:x.find("]")], self.vertex_list))
for influences in self.ngs_influence:
influence_weights = self.mll.getInfluenceWeights(
self.ngs_layer_id, influences[1])
vert_weights = [influence_weights[int(i)] for i in self.id_list]
self.ngs_weight_dict[influences] = influence_weights
self.vert_weight_dict[influences] = vert_weights
return True
def set_vert(self, mode, intensity):
self.intensity = intensity
for influences in self.ngs_influence:
self.new_weight_list = []
self.ngs_weight_list = self.ngs_weight_dict[influences]
self.vert_weight_list = self.vert_weight_dict[influences]
self.modes[mode]()
self.mll.setInfluenceWeights(self.ngs_layer_id, influences[1],
self.new_weight_list)
def vert_max(self):
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if str(i) not in self.id_list or vertex_weight == max(
self.vert_weight_list):
self.new_weight_list.append(vertex_weight)
continue
new_weight = vertex_weight + (
(max(self.vert_weight_list) - vertex_weight) * self.intensity)
self.new_weight_list.append(new_weight)
def vert_min(self):
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if str(i) not in self.id_list or vertex_weight == min(
self.vert_weight_list):
self.new_weight_list.append(vertex_weight)
continue
new_weight = vertex_weight - (
(vertex_weight - min(self.vert_weight_list)) * self.intensity)
self.new_weight_list.append(new_weight)
def vert_avg(self):
average = sum(self.vert_weight_list) / float(len(
self.vert_weight_list))
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if str(i) not in self.id_list or vertex_weight == average:
self.new_weight_list.append(vertex_weight)
continue
new_weight = vertex_weight - (
(vertex_weight - average) * self.intensity)
self.new_weight_list.append(new_weight)
def vert_first(self):
first = self.vert_weight_list[0]
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if str(i) not in self.id_list or vertex_weight == first:
self.new_weight_list.append(vertex_weight)
continue
new_weight = vertex_weight - (
(vertex_weight - first) * self.intensity)
self.new_weight_list.append(new_weight)
def vert_last(self):
last = self.vert_weight_list[-1]
for i in range(self.ngs_vert_count):
vertex_weight = self.ngs_weight_list[i]
if str(i) not in self.id_list or vertex_weight == last:
self.new_weight_list.append(vertex_weight)
continue
new_weight = vertex_weight - (
(vertex_weight - last) * self.intensity)
self.new_weight_list.append(new_weight)