安装 lanms 最佳参考： paddleocr，windows pip 安装巨坑 lanms 库
防丢失，直接抄录的一份
paddleocr最后几个库一个比一个难装，特别是 lanms 库，巨难装，拒绝任何花里胡哨，十分钟，三步内解决问题。
pip 下载报错
Keyring is skipped due to an exception: 'keyring.backends'
Collecting lanmsUsing cached lanms-1.0.2.tar.gz (973 kB)ERROR: Command errored out with exit status 1:command: 'C:\Users\TensorFlow\anaconda3\python.exe' -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\TENSOR~1\\AppData\\Local\\Temp\\pip-install-46p1kew5\\lanms\\setup.py'"'"'; __file__='"'"'C:\\Users\\TENSOR~1\\AppData\\Local\\Temp\\pip-install-46p1kew5\\lanms\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base 'C:\Users\TENSOR~1\AppData\Local\Temp\pip-install-46p1kew5\lanms\pip-egg-info'cwd: C:\Users\TENSOR~1\AppData\Local\Temp\pip-install-46p1kew5\lanms\Complete output (11 lines):Traceback (most recent call last):File "<string>", line 1, in <module>File "C:\Users\TENSOR~1\AppData\Local\Temp\pip-install-46p1kew5\lanms\setup.py", line 27, in <module>if subprocess.call(['make', '--always-make','-C', BASE_DIR]) != 0:File "C:\Users\TensorFlow\anaconda3\lib\subprocess.py", line 339, in callwith Popen(*popenargs, **kwargs) as p:File "C:\Users\TensorFlow\anaconda3\lib\subprocess.py", line 800, in __init__restore_signals, start_new_session)File "C:\Users\TensorFlow\anaconda3\lib\subprocess.py", line 1207, in _execute_childstartupinfo)FileNotFoundError: [WinError 2] 系统找不到指定的文件。----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
是以上这样或者是，下载好了一部分后面直接报错（无法复原了）。
第一步 上 github 下载 C 语言版本自行编译
https://github.com/SakuraRiven/LANMS
上面是网址。
内容是这个样子，下载后安装他说的使用 python setup.py bdist_wheel 进行编译。
注意：报错
(venv3) D:\study\配料表分析\lanms-master>python setup.py bdist_wheel
Traceback (most recent call last):File "setup.py", line 27, in <module>if subprocess.call(['make', '--always-make','-C', BASE_DIR]) != 0:File "C:\Users\TensorFlow\anaconda3\lib\subprocess.py", line 339, in callwith Popen(*popenargs, **kwargs) as p:File "C:\Users\TensorFlow\anaconda3\lib\subprocess.py", line 800, in __init__restore_signals, start_new_session)File "C:\Users\TensorFlow\anaconda3\lib\subprocess.py", line 1207, in _execute_childstartupinfo)
FileNotFoundError: [WinError 2] 系统找不到指定的文件。if subprocess.call(['make', '--always-make','-C', BASE_DIR]) != 0:raise RuntimeError('Cannot compile lanms in the directory: {}'.format(BASE_DIR))
我也不晓得这是缺了个什么文件，只是个判断而已注释这两行代码就好了。
第二步 pip 安装 whl 文件
运行完毕后，在dist文件夹下就能找到 whl 格式的库文件，放到环境下安装即可。
pip install lanms-1.0.2-cp37-cp37m-win_amd64.whl
到这里就算是安装完毕了，如果报错看看是不是第三步的样子。
第三步 修改库源代码
安装后运行可能还会报错，但是已经和之前不一样了，报错：
Traceback (most recent call last):File "D:/study/配料表分析/PaddleOCR-release-2.6/test.py", line 1, in <module>from paddleocr import PaddleOCRFile "D:\study\配料表分析\PaddleOCR-release-2.6\paddleocr.py", line 34, in <module>from tools.infer import predict_systemFile "D:\study\配料表分析\PaddleOCR-release-2.6\tools\infer\predict_system.py", line 33, in <module>import tools.infer.predict_det as predict_detFile "D:\study\配料表分析\PaddleOCR-release-2.6\tools\infer\predict_det.py", line 31, in <module>from ppocr.data import create_operators, transformFile "D:\study\配料表分析\PaddleOCR-release-2.6\ppocr\data\__init__.py", line 35, in <module>from ppocr.data.imaug import transform, create_operatorsFile "D:\study\配料表分析\PaddleOCR-release-2.6\ppocr\data\imaug\__init__.py", line 48, in <module>from .drrg_targets import DRRGTargetsFile "D:\study\配料表分析\PaddleOCR-release-2.6\ppocr\data\imaug\drrg_targets.py", line 21, in <module>from lanms import merge_quadrangle_n9 as la_nmsFile "C:\Users\TensorFlow\anaconda3\envs\AI\lib\site-packages\lanms\__init__.py", line 2, in <module>from .adaptor import merge_quadrangle_n9 as nms_impl
ModuleNotFoundError: No module named 'lanms.adaptor'
定位到报错的源码，读源码可以看到其实这里是个递归，不知道什么原因函数的调用出了些问题。
此处改动源码请保存好原来的源码
直接替换掉 __init __.py 文件下的代码。
import numpy as npdef merge_quadrangle_n9(polys, thres=0.3, precision=10000):if len(polys) == 0:return np.array([], dtype='float32')p = polys.copy()p[:, :8] *= precisionret = np.array(merge_quadrangle_n9(p, thres), dtype='float32')ret[:, :8] /= precisionreturn ret后面两项直接安装：
# 安装时注意关闭魔法
pip install lmdb
pip install tqdm
