Compile lanms on windows successfully!

[ZhuMingmin9123]

my environment is:
windows10 ,
python3.6 (ps:I use Anaconda3),
vs2015 Update 3 (ps: Visual Studio version should be vs2015 Update 3 or newer)

Step 1:Open the console make sure you can use X64 compiler:cl.exe(note: not X86, not X86, not X86 )

Step 2:to compile adaptor.cpp to adaptor.pyd
execute:cd your_dir\lanms
execute:cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "C:\ProgramData\Anaconda3\include" /LD /Fe:adaptor.pyd /link/LIBPATH:"C:\ProgramData\Anaconda3\libs"

ok,adaptor.pyd appears！

Step 3:comment some code in __init__.py
comment line7 and line8

Step 4:Congratulations! You can import lanms.

[zxytim]

Thanks for sharing!
I've added a link to this issue at the bottom of README.

[ghost]

if you have space in your path, like "Program Files", then you should input the command like "Progra~1"

[aricelover]

I've finished these steps, so what should I do next?(a beginner)

[chclock]

For VS2017, you can find X64 tool on path like "C:\ProgramData\Microsoft\Windows\Start Menu\Programs\Visual Studio 2017\Visual Studio Tools\VC"

[Vivianwxf]

@ZhuMingmin9123 Thanks for your sharing~! my environment is Win7 python3.5 vs2015, but after I finished testing few images, I find that the capacity of my disk C is decreasing obviously，there only 8.5Gleft, I have no idea about this, could you please tell me how can I operate to clean the space for disk C？

[mm1860]

a touching post

[RameshOswal]

thanks alot. by the way how did you find this solution :P

[mm1860]

find this solution from "https://github.com/mm1860/EAST_ICPR"

[jsxyhelu]

that's great,many thanks

[zqm840527]

Hi there, does anyone encountered the same problem?
#184
FileNotFoundError: [Errno 2] No such file or directory: '/proc/cpuinfo'

---

problem solved, thanks for @harshthaker's help, solution as below:
#184 (comment)
I am not sure if it is because of it being a linux call. I am using Mac and I received the same error. But to make it work, I just commented out the following line which is get_host_info() function call in run_demo_server.py file. It works for me.
line 136
#ret.update(get_host_info())

[EDGSCOUT]

F:\CaiCheng\EAST-master\lanms>cl adaptor.cpp ./include/clipper/clipper.cpp / I ./include / I"E:\Anaconda\include
用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.00.24215.1 版
版权所有(C) Microsoft Corporation。保留所有权利。

cl: 命令行 warning D9002 :忽略未知选项“/”
cl: 命令行 warning D9002 :忽略未知选项“/”
cl: 命令行 warning D9024 :无法识别的源文件类型“I”，假定为对象文件
cl: 命令行 warning D9024 :无法识别的源文件类型“./include”，假定为对象文件
cl: 命令行 warning D9024 :无法识别的源文件类型“IE:\Anaconda\include”，假定为对象文件
adaptor.cpp
adaptor.cpp(1): fatal error C1083: 无法打开包括文件: “pybind11/pybind11.h”: No such file or directory
clipper.cpp
C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE\xlocale(341): warning C4530: 使用了 C++ 异常处理程序，但 未启用展开语义。请指定 /EHsc
./include/clipper/clipper.cpp(3795): warning C4819: 该文件包含不能在当前代码页(936)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失
C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE\limits(210): warning C4577: 在未指定异常处理模式的情况下 使用了 "noexcept"；不一定会在异常时终止。指定 /EHsc
正在生成代码...

F:\CaiCheng\EAST-master\lanms>" / LD /Fe:adaptor.pyd / link / LIBPATH："E:\Anaconda\libs"
文件名、目录名或卷标语法不正确。

[DaisyLoveU]

F:\CaiCheng\EAST-master\lanms>cl adaptor.cpp ./include/clipper/clipper.cpp / I ./include / I"E:\Anaconda\include
用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.00.24215.1 版
版权所有(C) Microsoft Corporation。保留所有权利。

cl: 命令行 warning D9002 :忽略未知选项“/”
cl: 命令行 warning D9002 :忽略未知选项“/”
cl: 命令行 warning D9024 :无法识别的源文件类型“I”，假定为对象文件
cl: 命令行 warning D9024 :无法识别的源文件类型“./include”，假定为对象文件
cl: 命令行 warning D9024 :无法识别的源文件类型“IE:\Anaconda\include”，假定为对象文件
adaptor.cpp
adaptor.cpp(1): fatal error C1083: 无法打开包括文件: “pybind11/pybind11.h”: No such file or directory
clipper.cpp
C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE\xlocale(341): warning C4530: 使用了 C++ 异常处理程序，但 未启用展开语义。请指定 /EHsc
./include/clipper/clipper.cpp(3795): warning C4819: 该文件包含不能在当前代码页(936)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失
C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE\limits(210): warning C4577: 在未指定异常处理模式的情况下 使用了 "noexcept"；不一定会在异常时终止。指定 /EHsc
正在生成代码...

F:\CaiCheng\EAST-master\lanms>" / LD /Fe:adaptor.pyd / link / LIBPATH："E:\Anaconda\libs"
文件名、目录名或卷标语法不正确。

cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "D:\Anaconda3\include(你的anaconda3的的文件路径，下面的也是)" /LD /Fe:adaptor.pyd /link/LIBPATH:"D:\Anaconda3\libs"

[Phantom1003]

C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\VC\Tools\MSVC\14.12.25827\include\xlocale(313): warning C4530: 使用了 C++ 异常处理程序，但未启用展开语义。请指定 /EHsc
clipper.cpp
C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\VC\Tools\MSVC\14.12.25827\include\xlocale(313): warning C4530: 使用了 C++ 异常处理程序，但未启用展开语义。请指定 /EHsc
./include/clipper/clipper.cpp(3794): warning C4819: 该文件包含不能在当前代码页(936)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失
正在生成代码...
Microsoft (R) Incremental Linker Version 14.12.25835.0
Copyright (C) Microsoft Corporation. All rights reserved.

/dll
/implib:adaptor.lib
/out:adaptor.pyd
/LIBPATH:E:\Anaconda\libs
adaptor.obj
clipper.obj
python37.lib(python37.dll) : fatal error LNK1112: 模块计算机类型“x64”与目标计算机类型“x86”冲突

我使用VS2017，最后报错这个该怎么解决，谢谢！

[LyanJin]

我按照你所说的成功的生成pyd文件，setup之后 在import时报错 No model named 'lanms.adaptor' 请问你遇到这个问题了么？ 或者有什么解决方案？

[LyanJin]

@aricelover have you solved it?

[Sukanya-Kudi]

I am able to generate the .pyd , .obj files but unable to import lanms. Do we need to add these file in some path ? I am using anaconda.

[245123030]

VS2017成功编译，复制上面路径时注意删除很多不必要的空格

[aligoglos]

I've tried to compile with python with this command but this error occurred :

D:\Artificial Intelligence\_TextDetection\RFB-Text-Detection-master\lanms>cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "C:\Users\127051\AppData\Local\Programs\Python\Python35\include" /LD /Fe:adaptor.pyd /link/LIBPATH: "C:\Users\127051\AppData\Local\Programs\Python\Python35\libs"
Microsoft (R) C/C++ Optimizing Compiler Version 19.00.24215.1 for x86
Copyright (C) Microsoft Corporation.  All rights reserved.

adaptor.cpp
c:\users\127051\appdata\local\programs\python\python35\include\pyconfig.h(68): fatal error C1083: Cannot open include file: 'io.h': No such file or directory
clipper.cpp
d:\artificial intelligence\ocr\source\_textdetection\rfb-text-detection-master\lanms\include\clipper\clipper.hpp(52): fatal error C1083: Cannot open include file: 'vector': No such file or directory
Generating Code...

[aligoglos]

I solved issue by create this build script :

# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------

import os
from os.path import join as pjoin
import numpy as np
from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext


def find_in_path(name, path):
    "Find a file in a search path"
    # adapted fom http://code.activestate.com/recipes/52224-find-a-file-given-a-search-path/
    for dir in path.split(os.pathsep):
        binpath = pjoin(dir, name)
        if os.path.exists(binpath):
            return os.path.abspath(binpath)
    return None


def locate_cuda():
    """Locate the CUDA environment on the system

    Returns a dict with keys 'home', 'nvcc', 'include', and 'lib64'
    and values giving the absolute path to each directory.

    Starts by looking for the CUDAHOME env variable. If not found, everything
    is based on finding 'nvcc' in the PATH.
    """

    # first check if the CUDAHOME env variable is in use
    if 'CUDAHOME' in os.environ:
        home = os.environ['CUDAHOME']
        nvcc = pjoin(home, 'bin')
    else:
        # otherwise, search the PATH for NVCC
        default_path = pjoin(os.sep, 'usr', 'local', 'cuda', 'bin')
        nvcc = find_in_path('nvcc', os.environ['PATH'] + os.pathsep + default_path)
        if nvcc is None:
            raise EnvironmentError('The nvcc binary could not be '
                                   'located in your $PATH. Either add it to your path, or set $CUDAHOME')
        home = os.path.dirname(os.path.dirname(nvcc))

    cudaconfig = {'home': home, 'nvcc': nvcc,
                  'include': pjoin(home, 'include'),
                  'lib64': pjoin(home, 'lib/x64')}
    for k, v in cudaconfig.items():
        if not os.path.exists(v):
            raise EnvironmentError('The CUDA %s path could not be located in %s' % (k, v))

    return cudaconfig


CUDA = locate_cuda()

# Obtain the numpy include directory.  This logic works across numpy versions.
try:
    numpy_include = np.get_include()
except AttributeError:
    numpy_include = np.get_numpy_include()


def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    #default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        print(extra_postargs)
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
class custom_build_ext(build_ext):
    def build_extensions(self):
        customize_compiler_for_nvcc(self.compiler)
        build_ext.build_extensions(self)


ext_modules = [
    Extension(
        'lanms.adaptor',
        sources=[ 'adaptor.cpp', 'include/clipper/clipper.cpp'],
        include_dirs=[numpy_include, './' , 'include/clipper', 'include/'],
        extra_compile_args={
            'gcc': ['-Wno-cpp', '-Wno-unused-function', '-std=c99']},
    ),
]

setup(
    name='lanms',
    ext_modules=ext_modules,
    # inject our custom trigger
    cmdclass={'build_ext': custom_build_ext},
)

[sudo-thamaraikannan]

Anyone can help regarding ,LANMS Compile cmds for Ubuntu 16.04 LTS with G++ Compiler 5.4.0. When try compile, got this below error.

g++ -o adaptor adaptor.cpp
adaptor.cpp:1:31: fatal error: pybind11/pybind11.h: No such file or directory

[YCTLYSLX]

您好，我也遇到同样的问题。
Z:\wangGraduate\EAST_ICPR\lanms>cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "C:\ProgramData\Anaconda3\include" /LD /Fe:adaptor.pyd /link/LIBPATH:"C:\ProgramData\Anaconda3\libs"
用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.23.28106.4 版
版权所有(C) Microsoft Corporation。保留所有权利。

adaptor.cpp
C:\ProgramData\Anaconda3\include\pyconfig.h(59): fatal error C1083: 无法打开包括文件: “io.h”: No such file or directory
clipper.cpp
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.23.28105\include\crtdefs.h(10): fatal error C1083: 无法打开包括文件: “corecrt.h”: No such file or directory
正在生成代码...

请问这个问题如何解决

[YCTLYSLX]

您好，我也遇到同样的问题。
Z:\wangGraduate\EAST_ICPR\lanms>cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "C:\ProgramData\Anaconda3\include" /LD /Fe:adaptor.pyd /link/LIBPATH:"C:\ProgramData\Anaconda3\libs"
用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.23.28106.4 版
版权所有(C) Microsoft Corporation。保留所有权利。

adaptor.cpp
C:\ProgramData\Anaconda3\include\pyconfig.h(59): fatal error C1083: 无法打开包括文件: “io.h”: No such file or directory
clipper.cpp
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.23.28105\include\crtdefs.h(10): fatal error C1083: 无法打开包括文件: “corecrt.h”: No such file or directory
正在生成代码...

请问这个问题如何解决

本人已解决，安装完win10 SDK之后，在运行就好了

[marisaedwina]

I've tried to compile with python with this command but this error occurred :

D:\Artificial Intelligence\_TextDetection\RFB-Text-Detection-master\lanms>cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "C:\Users\127051\AppData\Local\Programs\Python\Python35\include" /LD /Fe:adaptor.pyd /link/LIBPATH: "C:\Users\127051\AppData\Local\Programs\Python\Python35\libs"
Microsoft (R) C/C++ Optimizing Compiler Version 19.00.24215.1 for x86
Copyright (C) Microsoft Corporation.  All rights reserved.

adaptor.cpp
c:\users\127051\appdata\local\programs\python\python35\include\pyconfig.h(68): fatal error C1083: Cannot open include file: 'io.h': No such file or directory
clipper.cpp
d:\artificial intelligence\ocr\source\_textdetection\rfb-text-detection-master\lanms\include\clipper\clipper.hpp(52): fatal error C1083: Cannot open include file: 'vector': No such file or directory
Generating Code...

I solved issue by create this build script :

# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------

import os
from os.path import join as pjoin
import numpy as np
from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext


def find_in_path(name, path):
    "Find a file in a search path"
    # adapted fom http://code.activestate.com/recipes/52224-find-a-file-given-a-search-path/
    for dir in path.split(os.pathsep):
        binpath = pjoin(dir, name)
        if os.path.exists(binpath):
            return os.path.abspath(binpath)
    return None


def locate_cuda():
    """Locate the CUDA environment on the system

    Returns a dict with keys 'home', 'nvcc', 'include', and 'lib64'
    and values giving the absolute path to each directory.

    Starts by looking for the CUDAHOME env variable. If not found, everything
    is based on finding 'nvcc' in the PATH.
    """

    # first check if the CUDAHOME env variable is in use
    if 'CUDAHOME' in os.environ:
        home = os.environ['CUDAHOME']
        nvcc = pjoin(home, 'bin')
    else:
        # otherwise, search the PATH for NVCC
        default_path = pjoin(os.sep, 'usr', 'local', 'cuda', 'bin')
        nvcc = find_in_path('nvcc', os.environ['PATH'] + os.pathsep + default_path)
        if nvcc is None:
            raise EnvironmentError('The nvcc binary could not be '
                                   'located in your $PATH. Either add it to your path, or set $CUDAHOME')
        home = os.path.dirname(os.path.dirname(nvcc))

    cudaconfig = {'home': home, 'nvcc': nvcc,
                  'include': pjoin(home, 'include'),
                  'lib64': pjoin(home, 'lib/x64')}
    for k, v in cudaconfig.items():
        if not os.path.exists(v):
            raise EnvironmentError('The CUDA %s path could not be located in %s' % (k, v))

    return cudaconfig


CUDA = locate_cuda()

# Obtain the numpy include directory.  This logic works across numpy versions.
try:
    numpy_include = np.get_include()
except AttributeError:
    numpy_include = np.get_numpy_include()


def customize_compiler_for_nvcc(self):
    """inject deep into distutils to customize how the dispatch
    to gcc/nvcc works.

    If you subclass UnixCCompiler, it's not trivial to get your subclass
    injected in, and still have the right customizations (i.e.
    distutils.sysconfig.customize_compiler) run on it. So instead of going
    the OO route, I have this. Note, it's kindof like a wierd functional
    subclassing going on."""

    # tell the compiler it can processes .cu
    self.src_extensions.append('.cu')

    # save references to the default compiler_so and _comple methods
    #default_compiler_so = self.compiler_so
    super = self._compile

    # now redefine the _compile method. This gets executed for each
    # object but distutils doesn't have the ability to change compilers
    # based on source extension: we add it.
    def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
        print(extra_postargs)
        if os.path.splitext(src)[1] == '.cu':
            # use the cuda for .cu files
            self.set_executable('compiler_so', CUDA['nvcc'])
            # use only a subset of the extra_postargs, which are 1-1 translated
            # from the extra_compile_args in the Extension class
            postargs = extra_postargs['nvcc']
        else:
            postargs = extra_postargs['gcc']

        super(obj, src, ext, cc_args, postargs, pp_opts)
        # reset the default compiler_so, which we might have changed for cuda
        self.compiler_so = default_compiler_so

    # inject our redefined _compile method into the class
    self._compile = _compile


# run the customize_compiler
class custom_build_ext(build_ext):
    def build_extensions(self):
        customize_compiler_for_nvcc(self.compiler)
        build_ext.build_extensions(self)


ext_modules = [
    Extension(
        'lanms.adaptor',
        sources=[ 'adaptor.cpp', 'include/clipper/clipper.cpp'],
        include_dirs=[numpy_include, './' , 'include/clipper', 'include/'],
        extra_compile_args={
            'gcc': ['-Wno-cpp', '-Wno-unused-function', '-std=c99']},
    ),
]

setup(
    name='lanms',
    ext_modules=ext_modules,
    # inject our custom trigger
    cmdclass={'build_ext': custom_build_ext},
)

Hi,
I also encounter the same issue like this.
Can you specify the file name and where do I need to put the script?

Thank you!

[aligoglos]

Hi @marisaedwina,
You can save script as build.py in lanms folder and run below command in cmd:
python build.py install

[marisaedwina]

Thank you for the feedback @aligoglos
I tried to run the script but it gives me an error

[aligoglos]

I think you can remove or comment CUDA = locate_cuda() line.

[marisaedwina]

I think you can remove or comment CUDA = locate_cuda() line.

Thanks for your correction,
I could run the script but still give me an error

[William1Wu]

Does anyone can help me?
I reference @ZhuMingmin9123 suggestion and using VS2015 x64 compiler to build code and get adaptor.pyd.

• Win10 x64
• Anaconda
• Python3.5
• Tensorflow-gpu 1.5.0

Traceback (most recent call last):
File "eval.py", line 196, in
tf.app.run()
File "D:\Software\Anaconda3\envs\east\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
sys.exit(main(argv))
File "eval.py", line 162, in main
boxes, timer = detect(score_map=score, geo_map=geometry, timer=timer)
File "eval.py", line 100, in detect
boxes = lanms.merge_quadrangle_n9(boxes.astype('float32'), nms_thres)
File "C:\Users\703\Desktop\EAST-master\lanms_init.py", line 14, in merge_quadrangle_n9
from .adaptor import merge_quadrangle_n9 as nms_impl
ImportError: DLL load failed: \u627e\u4e0d\u5230\u6307\u5b9a\u7684\u6a21\u7d44\u3002

[Abbasi92]

C:\Users\admin\Desktop\EAST-master\lanms>cl adaptor.cpp ./include/clipper/clippe
r.cpp /I ./include /I "C:\ProgramData\Anaconda3\include" /LD /Fe:adaptor.pyd /li
nk/LIBPATH:"C:\ProgramData\Anaconda3\libs"
'cl' is not recognized as an internal or external command,
operable program or batch file.

[Abbasi92]

Please help

[FortuneStar]

if you have space in your path, like "Program Files", then you should input the command like "Progra~1"

Your answer is right.

[RamjiB]

I think you can remove or comment CUDA = locate_cuda() line.

Thanks for your correction,
I could run the script but still give me an error

I am facing the same issue. Do you have a solution for this?

[Memhueet]

/dll
/implib:adaptor.lib
/out:adaptor.pyd
/LIBPATH:D:Tools\Miniconda\envs\ov\libs
adaptor.obj
clipper.obj

LINK : fatal error LNK1104: can't open file“python37.lib”

how to solve this problem,please?

[samtlink]

/dll
/implib:adaptor.lib
/out:adaptor.pyd
/LIBPATH:C:\ProgramData\Anaconda3\libs
adaptor.obj
clipper.obj
python37.lib(python37.dll) : fatal error LNK1112: module machine type 'x64' conflicts with target machine type 'x86'

Can anybody help with this error? I don't know what more information to post so kindly ask if it is needed.
Thanks a lot.

[samtlink]

C:\Users\admin\Desktop\EAST-master\lanms>cl adaptor.cpp ./include/clipper/clippe
r.cpp /I ./include /I "C:\ProgramData\Anaconda3\include" /LD /Fe:adaptor.pyd /li
nk/LIBPATH:"C:\ProgramData\Anaconda3\libs"
'cl' is not recognized as an internal or external command,
operable program or batch file.

@Abbasi92 I know I am late but you have to type that comment in the visual studio's developer console.
Hope this helps. Stay safe.

[KKDDD]

/ dll
/implib:adaptor.lib
/out:adaptor.pyd
/ LIBPATH：D：Tools \ Miniconda \ envs \ ov \ libs
Adaptor.obj
clipper.obj

链接：致命错误LNK1104：无法打开文件“ python37.lib”

请问如何解决这个问题？

Hi,i have same problem,do you solve it?

[KKDDD]

/ dll
/implib:adaptor.lib
/out:adaptor.pyd
/ LIBPATH：D：Tools \ Miniconda \ envs \ ov \ libs
Adaptor.obj
clipper.obj
链接：致命错误LNK1104：无法打开文件“ python37.lib”
请问如何解决这个问题？

嗨，我有同样的问题，你解决了吗？

well,i solve this problem, copy python37.lib to MSVC lib

[ghost]

adaptor.lib - adaptor.zip

[GanWang]

my environment is:
windows10 ,
python3.6 (ps:I use Anaconda3),
vs2015 Update 3 (ps: Visual Studio version should be vs2015 Update 3 or newer)

Step 1:Open the console make sure you can use X64 compiler:cl.exe(note: not X86, not X86, not X86 )

Step 2:to compile adaptor.cpp to adaptor.pyd
execute:cd your_dir\lanms
execute:cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "C:\ProgramData\Anaconda3\include" /LD /Fe:adaptor.pyd /link/LIBPATH:"C:\ProgramData\Anaconda3\libs"

ok,adaptor.pyd appears！

Step 3:comment some code in init.py
comment line7 and line8

Step 4:Congratulations! You can import lanms.

Thank you for your replay!It really works!But i dont know why it works,if possible,please teach me! let me know the meanings of your actions.

[hung-doan]

Does anyone can help me?
I reference @ZhuMingmin9123 suggestion and using VS2015 x64 compiler to build code and get adaptor.pyd.

• Win10 x64
• Anaconda
• Python3.5
• Tensorflow-gpu 1.5.0

Traceback (most recent call last):
File "eval.py", line 196, in
tf.app.run()
File "D:\Software\Anaconda3\envs\east\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
sys.exit(main(argv)) File "eval.py", line 162, in main boxes, timer = detect(score_map=score, geo_map=geometry, timer=timer) File "eval.py", line 100, in detect boxes = lanms.merge_quadrangle_n9(boxes.astype('float32'), nms_thres) File "C:\Users\703\Desktop\EAST-master\lanms__init_.py", line 14, in merge_quadrangle_n9
from .adaptor import merge_quadrangle_n9 as nms_impl
ImportError: DLL load failed: \u627e\u4e0d\u5230\u6307\u5b9a\u7684\u6a21\u7d44\u3002

I fixed this issue by using the the includes & libs folder of the python
For example my python is installed at C:\Users\hungdoan\AppData\Local\Programs\Python\Python38
Then I will use the includes and libs from this folder rather than from the Anaconda.

e.g (NOTE: the python location will be changed base on your installation)

cl adaptor.cpp ./include/clipper/clipper.cpp /I ./include /I "C:\Users\hungdoan\AppData\Local\Programs\Python\Python38\include" /LD /Fe:adaptor.pyd /link/LIBPATH:"C:\Users\hungdoan\AppData\Local\Programs\Python\Python38\libs"

[burak-yildizoz]

Solution for Windows with CMake: #370

[VIJAY-KUMAR-TG]

can u please give step by step procedure to run this project plz...

[burak-yildizoz]

@VIJAY-KUMAR-TG See Google Colab results.

[kevinunger]

Just fixed it by just installing this:
pip install lanms-neo

https://github.com/gen-ko/lanms-neo