# 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
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