README.md 3.12 KB
Newer Older
fengzch-das's avatar
fengzch-das committed
1
# <div align="center"><strong>PyDenseCRF</strong></div>
lucasb-eyer's avatar
lucasb-eyer committed
2

fengzch-das's avatar
fengzch-das committed
3
## 1 简介
lucasb-eyer's avatar
lucasb-eyer committed
4

fengzch-das's avatar
fengzch-das committed
5
PyDenseCRF 是一个基于Python的库,它提供了对Philipp Krähenbühl的全连接条件随机场(Fully-Connected Conditional Random Fields, FCRF)的封装。这个工具最初用于提升图像语义分割任务的性能,尤其在处理细节和边缘检测上表现出色。
lucasb-eyer's avatar
lucasb-eyer committed
6

fengzch-das's avatar
fengzch-das committed
7
## 2 安装
lucasb-eyer's avatar
lucasb-eyer committed
8

fengzch-das's avatar
fengzch-das committed
9
组件支持组合
10

fengzch-das's avatar
fengzch-das committed
11
12
13
14
| PyTorch版本 | fastpt版本 | cuBVH版本     | DTK版本  | Python版本      | 推荐编译方式 |
| ----------- | ---------- | ------------- | -------- | --------------- | ------------ |
| 2.5.1       | 2.1.0      | main-eeb9d5fa | >= 25.04 | 3.8、3.10、3.11 | fastpt不转码 |
| 2.4.1       | 2.0.1      | main-eeb9d5fa | >= 25.04 | 3.8、3.10、3.11 | fastpt不转码 |
15

fengzch-das's avatar
fengzch-das committed
16
+ pytorch 版本大于 2.4.1 && dtk 版本大于 25.04 推荐使用 fastpt 不转码编译。
17

fengzch-das's avatar
fengzch-das committed
18
### 2.1 使用pip方式安装
Sayak Paul's avatar
Sayak Paul committed
19

fengzch-das's avatar
fengzch-das committed
20
PyDenseCRF whl 包下载目录:[光和开发者社区](https://download.sourcefind.cn:65024/4/main),选择对应的 pytorch 版本和 python 版本下载对应 PyDenseCRF 的 whl 包: 
Sayak Paul's avatar
Sayak Paul committed
21

fengzch-das's avatar
fengzch-das committed
22
23
24
25
26
```shell
pip install torch* # 下载torch的whl包
pip install fastpt* --no-deps # 下载fastpt的whl包
source  /usr/local/bin/fastpt -E
pip install pydensecrf* # # 下载的 pydensecrf-fastpt 的whl包
Sayak Paul's avatar
Sayak Paul committed
27
```
lucasb-eyer's avatar
lucasb-eyer committed
28

fengzch-das's avatar
fengzch-das committed
29
### 2.2 使用源码编译方式安装
lucasb-eyer's avatar
lucasb-eyer committed
30

fengzch-das's avatar
fengzch-das committed
31
#### 2.2.1 编译环境准备
lucasb-eyer's avatar
lucasb-eyer committed
32

fengzch-das's avatar
fengzch-das committed
33
提供基于 fastpt 不转码编译:
lucasb-eyer's avatar
lucasb-eyer committed
34

fengzch-das's avatar
fengzch-das committed
35
36
1. 基于光源 pytorch 基础镜像环境:镜像下载地址:[光合开发者社区](https://sourcefind.cn/#/image/dcu/pytorch),根据 pytorch、python、dtk 及系统下载对应的镜像版本。
2. 基于现有 python 环境:安装 pytorch,fastpt whl 包下载目录:[光合开发者社区](https://sourcefind.cn/#/image/dcu/pytorch),根据 python、dtk 版本,下载对应 pytorch 的 whl 包。安装命令如下:
lucasb-eyer's avatar
lucasb-eyer committed
37

fengzch-das's avatar
fengzch-das committed
38
39
40
41
```shell
pip install torch* # 下载torch的whl包
pip install fastpt* --no-deps # 下载fastpt的whl包, 安装顺序,先安装torch,后安装fastpt
pip install setuptools==59.5.0 wheel pytest
lucasb-eyer's avatar
lucasb-eyer committed
42
43
```

fengzch-das's avatar
fengzch-das committed
44
#### 2.2.2 源码编译安装
lucasb-eyer's avatar
lucasb-eyer committed
45

fengzch-das's avatar
fengzch-das committed
46
- 代码下载
lucasb-eyer's avatar
lucasb-eyer committed
47

fengzch-das's avatar
fengzch-das committed
48
49
```shell
git clone http://developer.sourcefind.cn/codes/OpenDAS/pydensecrf.git # 根据编译需要切换分支
50
51
```

fengzch-das's avatar
fengzch-das committed
52
53
- 提供2种源码编译方式(进入 pydensecrf 目录):
  - 源码编译安装:
54

fengzch-das's avatar
fengzch-das committed
55
56
    ```bash
    source /usr/local/bin/fastpt -C
57

fengzch-das's avatar
fengzch-das committed
58
59
60
61
    python setup.py build
    python setup.py install
    ```
  - whl 包构建安装:
62

fengzch-das's avatar
fengzch-das committed
63
64
    ```bash
    source /usr/local/bin/fastpt -C
65

fengzch-das's avatar
fengzch-das committed
66
67
68
    python setup.py bdist_wheel # 该指令用于编译whl包,执行该指令时不必执行前两个指令
    pip install dist/pydensecrf-1.0-cp310-cp310-linux_x86_64.whl
    ```
69

fengzch-das's avatar
fengzch-das committed
70
#### 2.2.3 注意事项
lucasb-eyer's avatar
lucasb-eyer committed
71

fengzch-das's avatar
fengzch-das committed
72
73
+ ROCM_PATH 为 dtk 的路径,默认为 /opt/dtk;
+ 在 pytorch2.5.1 环境下编译需要支持 c++17 语法,打开setup.py文件,把文件中的 -std=c++14 修改为 -std=c++17。
lucasb-eyer's avatar
lucasb-eyer committed
74

fengzch-das's avatar
fengzch-das committed
75
76
## 3 验证
- 执行下面的命令测试组件:
lucasb-eyer's avatar
lucasb-eyer committed
77

fengzch-das's avatar
fengzch-das committed
78
79
```bash
source /usr/local/bin/fastpt -E
lucasb-eyer's avatar
lucasb-eyer committed
80

fengzch-das's avatar
fengzch-das committed
81
pytest -vs ./tests
lucasb-eyer's avatar
lucasb-eyer committed
82
83
84

```

fengzch-das's avatar
fengzch-das committed
85
## 4 Known Issue
lucasb-eyer's avatar
lucasb-eyer committed
86

fengzch-das's avatar
fengzch-das committed
87
-
lucasb-eyer's avatar
lucasb-eyer committed
88

fengzch-das's avatar
fengzch-das committed
89
## 5 参考资料
lucasb-eyer's avatar
lucasb-eyer committed
90

fengzch-das's avatar
fengzch-das committed
91
92
- [README_ORIGIN](README_ORIGIN.md)
- [https://github.com/lucasb-eyer/pydensecrf.git](https://github.com/lucasb-eyer/pydensecrf.git)