Metadata-Version: 2.1
Name: maya-rig-operation-graph
Version: 0.1.0
Summary: maya计算图的实现
Home-page: https://github.com/cpcgskill/maya-rig-operation-graph
Author: ('cpcgskill',)
Author-email: cpcgskill@outlook.com
License: Apache Software License (Apache 2.0)
Project-URL: Bug Tracker, https://github.com/cpcgskill/maya-rig-operation-graph/issues
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*
Description-Content-Type: text/markdown
License-File: LICENSE

# maya-rig-operation-graph



maya计算图的实现



## 目录



- [快速开始](#快速开始)

    * [安装](#安装)

    * [使用](#使用)

- [版权说明](#版权说明)



## 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



```commandline

python -m pip install maya-rig-operation-graph

```



在windows下maya的安装例子



注意:



1. 请将Maya路径替换为自己的。

2. 如果你需要安装到maya的python的site-packages下时, 请使用管理员身份运行安装命令. (在你没有安装到一个特定目录下时建议你这么干)



```commandline

"C:\Program Files\Autodesk\Maya2018\bin\mayapy.exe" -m pip install maya-rig-operation-graph

```



### 使用



#### 例子



```python

# -*-coding:utf-8 -*-

from __future__ import unicode_literals, print_function, division

from rig_core.all import *

from rig_operation_graph.all import *



ctx = Ctx()



# 使用计算图进行数学运算



out_attr = float_min(ctx, 0, 1)

print(out_attr, out_attr.get_value())



out_attr = float_max(ctx, 0, 1)

print(out_attr, out_attr.get_value())



out_attr = float_mean(ctx, 0, 1)

print(out_attr, out_attr.get_value())



out_attr = float_pow(ctx, 10, 10)

print(out_attr, out_attr.get_value())



out_attr = float_sin(ctx, 0.5)

print(out_attr, out_attr.get_value())

out_attr = float_cos(ctx, 0.5)

print(out_attr, out_attr.get_value())

out_attr = float_tan(ctx, 0.5)

print(out_attr, out_attr.get_value())



# 使用计算图进行向量数学运算



out_attr = vector_add(ctx, (1, 1, 1), (-1, -1, -1))

print(out_attr, out_attr.get_value())



out_attr = vector_sub(ctx, out_attr, (-1, 1, -1))

print(out_attr, out_attr.get_value())



out_attr = vector_mul(ctx, out_attr, (1.5, 1.5, 1.5))

print(out_attr, out_attr.get_value())



out_attr = vector_div(ctx, out_attr, (3, 3, 3))

print(out_attr, out_attr.get_value())



out_attr = vector_pow(ctx, out_attr, (3, 3, 3))

print(out_attr, out_attr.get_value())



out_attr = vector_mean(ctx, out_attr, (0, 0, 0), (0, 0, 0), (0, 0, 0))

print(out_attr, out_attr.get_value())



out_attr = vector_sum(ctx, out_attr, out_attr, out_attr, out_attr)

print(out_attr, out_attr.get_value())

```



## 版权说明



该项目签署了Apache-2.0 授权许可，详情请参阅 LICENSE





