maya_rig_core
一个好用的绑定核心库
目录
快速开始
安装
注意下方的python是你的Python, 正常情况下可以直接通过python调用, 而Maya的python一般是C:\Program Files\Autodesk<Maya版本>\bin\mayapy.exe
python -m pip install maya-rig-core
在windows下maya的安装例子
注意:
- 请将Maya路径替换为自己的。
- 请使用cmd
"C:\Program Files\Autodesk\Maya2018\bin\mayapy.exe" -m pip install maya-rig-core
使用
创建控制器与组
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
con = ctx.controller()
grp = ctx.add_group_to_object(con)
创建名称空间上下文
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
with ctx.enter_new_name_space(prefix='prefix_'):
con_list = ctx.controller()
print('在这里你可以查看名称空间上下文结束之后的名称', con_list)
创建生成块上下文
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
# nodes 就是这个生成块记录的节点, 两个nodes都是.
with ctx.enter_build_block(key=lambda nodes: print('从回调获得 生成块中创建了什么节点 >> ', nodes)) as nodes:
con_list = ctx.controller()
print('从变量获得 生成块中创建了什么节点 >> ', nodes)
使用Tag过滤节点
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
# 进入一个新的Tag运行时(不进入其实也能跑,但是这里为了演示就进入了)
with ctx.enter_new_tag_rt('test_tag_rt'):
# 创建有one标签的控制器
one_con_list = ctx.controller(tags=['one'])
# 创建有two标签的控制器
two_con_list = ctx.controller(tags=['two'])
# 创建过滤器
f = ctx.filter()
# 过滤节点
nodes = f.tag_equal('one')
print('搜索到的节点', list(nodes))
进入一个新的根对象
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
root_con = ctx.controller()
root_grp = ctx.add_group_to_object(root_con)
with ctx.enter_new_root_object(root_con):
child_con = ctx.controller()
child_grp = ctx.add_group_to_object(child_con)
虚拟骨骼树的使用
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
# 创建控制器和组
con_list = ctx.controller_list(tags=['test'], count=10)
grp_list = ctx.add_group_to_object_list(con_list, tags=['test'])
# 将控制器添加虚拟骨骼树下面
ctx.root_joint.add_joint_chain_from_object_list(con_list)
# 将虚拟骨骼树转化为实体骨骼
create_real_joints_from_root(ctx.root_joint)
进入一个新的根虚拟关节
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
root_con = ctx.controller()
root_grp = ctx.add_group_to_object(root_con)
# 进入一个新的根虚拟关节
with ctx.create_child_joint_as_new_root_joint(obj=root_con):
# 创建控制器和组
con_list = ctx.controller_list(tags=['test'], count=10)
grp_list = ctx.add_group_to_object_list(con_list, tags=['test'])
# 将控制器添加虚拟骨骼树下面
ctx.root_joint.add_child_from_object_list(con_list)
# 将虚拟骨骼树转化为实体骨骼
create_real_joints_from_root(ctx.root_joint)
节点数据库功能
# -*-coding:utf-8 -*-
from __future__ import print_function, unicode_literals, division
from rig_core.all import *
ctx = Ctx()
con = ctx.controller()
grp = ctx.add_group_to_object(con)
# 进入一个新的节点数据库运行时(不进入其实也能跑,但是这里为了演示就进入了)
with ctx.enter_new_all_node_db_rt('test_attributes_name'):
# 向控制器储存
ctx.all_node_db_rt[con, 'test_key'] = 'test_all_db_rt_data'
# 从控制器读取数据
print('从控制器读取的数据', ctx.all_node_db_rt[con, 'test_key'])
版权说明
该项目签署了Apache-2.0 授权许可,详情请参阅 LICENSE
Release files for maya-rig-core 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| maya_rig_core-0.2.5.tar.gz | 15.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| maya_rig_core-0.2.5-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 34.1 kB
Release files / maya_rig_core-0.2.5.tar.gz
| Download URL | maya_rig_core-0.2.5.tar.gz |
|---|---|
| Size | 15.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7ab4277532f7680739ac629a86e290104fa10c3664852e6531642560af13abe9
|
|
BLAKE2b-256 checksum How to use checksums |
467a4618bbfe84dd20772606e73ecd6ba1abdc488392a0d68d549060c94a7ecb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / maya_rig_core-0.2.5-py2.py3-none-any.whl
| Download URL | maya_rig_core-0.2.5-py2.py3-none-any.whl |
|---|---|
| Size | 19.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
f04a596299a55eee8b34456f1c893357385468ba515cab9d615673904878b1ce
|
|
BLAKE2b-256 checksum How to use checksums |
5c1fa7bb4066da76736728474a991460f297f3d9bc53e49f02aeaf9e8618c31f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|