1.git上下載原始碼

2.因為預設是gpu版本的，修改為不用gpu有幾個坑

   把需要註釋的幾個地方註釋掉

   然後修改setup.py, 用下面這段程式碼整個替換掉

from Cython.Build import cythonize
import numpy as np
from distutils.core import setup
from distutils.extension import Extension

try:
    numpy_include = np.get_include()
except AttributeError:
    numpy_include = np.get_numpy_include()

ext_modules = [
    Extension(
        'bbox',
        sources=['bbox.c'],
        include_dirs = [numpy_include]
    ),
    Extension(
        'cython_nms',
        sources=['cython_nms.c'],
        include_dirs = [numpy_include]
    )
]
setup(
    ext_modules=ext_modules
)
 

   執行：

 python setup.py build_ext --include-dirs=/anaconda2/envs/chinese-ocr/lib/python2.7/site-packages/numpy/core/include

 include-dirs 換成自己的numpy地址，將build完之後的.so檔案copy到utils資料夾下

 執行demo需要下載 https://github.com/eragonruan/text-detection-ctpn/releases checkpoint檔案，就是用已經訓練好的模型，解壓  到text-detection-ctpn的主目錄，然後到主目錄執行python ./ctpn/demo.py，即可將demo下的圖片進行標註