One . pyinstaller and Nuitka Use feeling
This time, it is also due to the needs of the project , To put python The code of is converted to exe The program , After a long search , Found out 2 All right python Tools for project packaging ——pyintaller and nuitka.
this 2 Both tools can meet the needs of the project at the same time ：
Hidden source code . there pyinstaller By setting key To encrypt the source code ; and nuitka Will be python Source code into C++（ What we get here is binary pyd file , Prevents decompilation ）, Then compile it into an executable file .
Easy to transplant . Easy to use , No more installation python ah , Third party packages and so on .
2 The biggest feeling after using a tool is ：
pyinstaller Experience is very poor ！
An in-depth learning project finally turned into exe It's close 3 individual G Size （pyinstaller Is to package the entire running environment ）, Yes , You heard me , One EXE Yes 3 individual G！
Packaging is super slow , Super slow start .
nuitka It's delicious ！
The same project , Generated exe Only 7M！
Pack super fast （1min within ）, Start super fast .
Direct use of pip You can install ：pip install Nuitka
download vs2019(MSVS) perhaps MinGW64, Anyway, it's all C++ The compiler , Make yourself at home .
For projects that rely on more packages from third parties （ Such as the need to import torch,tensorflow,cv2,numpy,pandas,geopy wait ） for , The best way to package here is to just turn your own code into C++, Regardless of these large third-party packages ！
Below is me. demo A directory structure of （ It's used here pytq5 The interface written by the framework ）：
├─utils// Source code 1 Folder ├─src// Source code 2 Folder ├─logo.ico//demo The icon └─demo.py//main file Use the following command （ debugging ） Directly generate exe file ：
nuitka --standalone --show-memory --show-progress --nofollow-imports --plugin-enable=qt-plugins --follow-import-to=utils,src --output-dir=out --windows-icon-from-ico=./logo.ico demo.py
Here is a brief introduction to my above nuitka The order of ：
--standalone： Easy to transplant to other machines , No more installation python
--show-memory --show-progress： Show the progress of the whole installation
--nofollow-imports： Do not compile all of the import, such as keras,numpy And so on. .
--plugin-enable=qt-plugins： I use... Here pyqt5 To make the interface , here nuitka There are corresponding plug-ins .
--follow-import-to=utils,src： It needs to be compiled into C++ The code specifies 2 A folder containing the source code , Here we use , To separate .
--output-dir=out： Specify the output result path as out.
--windows-icon-from-ico=./logo.ico： Specify the generated exe The icon of is logo.ico This icon , Here is a recommended way to turn the picture into ico Format file website （ Bitworm ）.
--windows-disable-console： function exe Cancel the box . We didn't put it here because we still need to debug , There may be some problems .
after 1min After compiling , You can see it in your directory ：
├─utils// Source code 1 Folder ├─src// Source code 2 Folder ├─out// Generated exe Folder
├─demo.build
└─demo.dist
└─demo.exe// Generated exe file ├─logo.ico//demo The icon └─demo.py//main file Of course here you will find that the real operation exe When , Will report a mistake ：no module named torch,cv2,tensorflow Wait, these are not converted into C++ Third party package for .
Here we need to find these bags （ I was in software\python3.7\Lib\site-packages Next ） Copy （ such as numpy,cv2 This folder ） To demo.dist Under the path .
thus ,exe It works perfectly ！
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