QT5封装keras tensorflow（三，封装训练好的网络）

此处坑较多

发布exe需要pyinstaller 

1首先安装pip3 install pyinstaller

将安装后的script路径写入环境变量PATH，否则命令提示行不识别

2.pyinstaller打包命令pyinstaller -F main.py（时间较久）

由于tensorflow 与keras调用，会出现各种错误。

由于打包过程中或者打包后运行exe会出现ModuleNotFoundError: No module named *错误

使用hook，建立文件件hooks，并在其中配置hook-tensorflow.py

使用pyinstaller -F --additional-hooks-dir=hooks main.py(具体参考pyinstaller 打包 keras tensorflow pyqt 的 打包步骤（踩坑日记 ）_“神”地摊小哥的博客-优快云博客)

但是在运行exe时不断出现错误需要配置*.spec，打包文件同名的spec文件，（例如我找不到keras.engine.base_layer_v1，我就在*.spec中的hiddenimports加入keras.engine.base_layer_v1.）却啥补啥。

然后pyinstaller -F  main.spec 打包

网上说pyh5和tensorflow安装顺序问题，我试了没啥用（玄虚调试）。打包起来有1.5G，稍微有点大，后续挖个坑，网络训练好后，其实读入网络结构和权重很轻量级。后续写一个读入网络权重函数，摆脱tensorflow（太大了）

后文贴出我的配置文件

我将自己配置的hook-tensorflow.py贴出

from PyInstaller.utils.hooks import collect_data_files, collect_submodules

#下面用于将以下模块下所有的子模块全部加入
hiddenimports = collect_submodules('tensorflow_core.core.framework')
hiddenimports += collect_submodules('tensorflow_core.core')
hiddenimports += collect_submodules('tensorflow_core')

hiddenimports += collect_submodules('tensorflow.compiler.tf2tensorrt')
hiddenimports += collect_submodules('tensorflow.python.keras.engine.base_layer_v1')
hiddenimports += collect_submodules('tensorflow_core.lite.experimental.microfrontend.python.ops')
hiddenimports=['pkg_resources.py2_warn',
			   'tensorflow',
			   'tensorflow_core.python',
			   'tensorflow_core.python.platform',
			   'tensorflow_core.python.platform.tf_logging',
			   'tensorflow_core.python.platform.self_check',
             	'tensorflow_core.python.platform.build_info',
			   'tensorflow_core.python.pywrap_tensorflow',
             	'tensorflow_core.python.pywrap_tensorflow_internal',
			   'tensorflow_core.python.util',
			   'tensorflow_core.python.util.deprecation',
			   'tensorflow_core.python.util.tf_export',
			   'tensorflow_core.python.util.tf_decorator',
			   'tensorflow_core.python.util.tf_stack',
			   'tensorflow_core.python.util.tf_inspect',
			   'tensorflow_core.python.util.*',
			   'tensorflow_core.python.util.decorator_utils',
			   'tensorflow_core.python.util.ANY.*',
			   'tensorflow_core.python.util.is_in_graph_mode',
			   'tensorflow_core.python.util.tf_contextlib',
			   'tensorflow_core.core.*',
			   'tensorflow_core.core.framework.*',
			   "cython",
			   "sklearn",
			   "sklearn.ensemble",
			   "sklearn.neighbors.typedefs",
			   "sklearn.neighbors.quad_tree",
			   "sklearn.tree._utils",
			   "sklearn.utils._cython_blas"
			   ]

特别是出现如下错误

我的是main.spec

# -*- mode: python ; coding: utf-8 -*-
import os
import importlib

block_cipher = None


a = Analysis(['main.py'],
             pathex=['E:\\weather2'],
             binaries=[],
			 datas=[(os.path.join(os.path.dirname(importlib.import_module('tensorflow').__file__),
			 "lite/experimental/microfrontend/python/ops/_audio_microfrontend_op.so"),
			 "tensorflow/lite/experimental/microfrontend/python/ops/")],
			 hiddenimports=['pkg_resources.py2_warn',
			 'tensorflow',
			 'tensorflow_core.python',
			 'tensorflow_core.python.platform',
			 'tensorflow_core.python.platform.tf_logging',
			 'tensorflow_core.python.platform.self_check',
             'tensorflow_core.python.platform.build_info',
			 'tensorflow_core.python.pywrap_tensorflow',
             'tensorflow_core.python.pywrap_tensorflow_internal',
			 'tensorflow_core.python.util',
			 'tensorflow_core.python.util.deprecation',
			 'tensorflow_core.python.util.tf_export',
			 'tensorflow_core.python.util.tf_decorator',
			 'tensorflow_core.python.util.tf_stack',
			 'tensorflow_core.python.util.tf_inspect',
			 'tensorflow_core.python.util.*',
			 'tensorflow_core.python.util.decorator_utils',
			 'tensorflow_core.python.util.ANY.*',
			 'tensorflow_core.python.util.is_in_graph_mode',
			 'tensorflow_core.python.util.tf_contextlib',
			 'tensorflow_core.core.*',
			 'tensorflow_core.core.framework.*',
			 "cython",
			 "sklearn",
			 "sklearn.ensemble",
			 "sklearn.neighbors.typedefs",
			 "sklearn.neighbors.quad_tree",
			 "sklearn.tree._utils",
			 "sklearn.utils._cython_blas",
			 "keras.engine.base_layer_v1"],
             hookspath=[],
             hooksconfig={},
             runtime_hooks=[],
             excludes=[],
             win_no_prefer_redirects=False,
             win_private_assemblies=False,
             cipher=block_cipher,
             noarchive=False)
pyz = PYZ(a.pure, a.zipped_data,
             cipher=block_cipher)

exe = EXE(pyz,
          a.scripts, 
          [],
          exclude_binaries=True,
          name='main',
          debug=False,
          bootloader_ignore_signals=False,
          strip=False,
          upx=True,
          console=True,
          disable_windowed_traceback=False,
          target_arch=None,
          codesign_identity=None,
          entitlements_file=None )
coll = COLLECT(exe,
               a.binaries,
               a.zipfiles,
               a.datas, 
               strip=False,
               upx=True,
               upx_exclude=[],
               name='main')