blocks|key|1503972|text|我可以通过使用最新版本的protoc编译器编译我的.proto文件来解决这个问题，而是使用旧版本v3.19.4+(参见https://github.com/protocolbuffers/protobuf/releases)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1503973|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/protocolbuffers/protobuf/releases^0|1N|1G|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I could solve the issue by not compiling my .proto files with the newest version of the protoc compiler but by using the old version v3.19.4 (see <a href="https://github.com/protocolbuffers/protobuf/releases" rel="nofollow noreferrer">https://github.com/protocolbuffers/protobuf/releases</a>).

blocks|key|751708|text|您需要升级到protobuf包的最新版本：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|751709|pip+install+--upgrade+protobuf。|751710|原因是自Protobufv3.20.0以来Python类是简化的。直接从发布说明上说：|751711|Protobuf+python生成的代码被简化。描述符和消息类的定义现在是在内部/builder.py中动态创建的。放弃消息类的插入点。|blockquote|751712|这解释了为什么生成的Python代码现在引用了一个builder模块，如果您还没有更新到protobuf包的最新版本，它就找不到这个模块。在发布说明中没有解释这一点，但是我自己验证了如果升级protobuf包，它是可以工作的。|751713|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/protocolbuffers/protobuf/releases/tag/v3.20.0^0|6|8|0|0|U|0|10|4|0|0|0|P|7|18|8|2N|8|0^^$0|@$1|2|3|4|5|6|7|W|8|@$9|X|A|Y|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|Z|8|@$9|10|A|11|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|12|8|@]|D|@$9|13|A|14|1|15]]|E|$]]|$1|J|3|K|5|L|7|16|8|@]|D|@]|E|$]]|$1|M|3|N|5|6|7|17|8|@$9|18|A|19|B|C]|$9|1A|A|1B|B|C]|$9|1C|A|1D|B|C]]|D|@]|E|$]]|$1|O|3|-4|5|6|7|1E|8|@]|D|@]|E|$]]]|P|$Q|$5|R|S|T|E|$U|V]]]]

You need to upgrade to the latest version of the <code>protobuf</code> package:
<code>pip install --upgrade protobuf</code>.
The reason is that the Python classes are simplified since Protobuf v3.20.0. Straight from the <a href="https://github.com/protocolbuffers/protobuf/releases/tag/v3.20.0" rel="noreferrer">release notes</a> it says:
<blockquote>
Protobuf python generated codes are simplified. Descriptors and
message classes' definitions are now dynamic created in
internal/builder.py. Insertion Points for messages classes are
discarded.
</blockquote>
This explains why the generated Python code now refers to a <code>builder</code> module, which it cannot find if you haven't updated to the latest version of the <code>protobuf</code> package. This is not explained in the release notes, but I verified myself that it works if you upgrade the <code>protobuf</code> package.

blocks|key|757698|text|因为descriptor_pb2.py是从protoc生成的。所以你需要保持你的建筑系统和运行系统之间的兼容性。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|757699|总之，请确保原型的版本小于或等于protobuf的版本。|757700|FYI，您可以直接从"https://github.com/protocolbuffers/protobuf/releases“下载相应的原型。|offset|length|757701|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/protocolbuffers/protobuf/releases^0|0|0|B|1G|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@$F|S|G|T|1|U]]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

Because descriptor_pb2.py is generated from protoc. So you need to keep the compatibility between your buiding system and running system.
In one word, make sure that your protoc's version is less than or equal to protobuf's version.
FYI, you can download the according protoc directly from &quot;https://github.com/protocolbuffers/protobuf/releases&quot;

blocks|key|1516938|text|遵循以下步骤：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1516939|安装最新的protobuf+(在我的例子中是4.21.1)|ordered-list-item|1516940|pip+install+protobuf|blockquote|offset|length|style|CODE|1516941|将builder.py从...\Lib\site-packages\google\protobuf\internal复制到计算机(比方说“文档”)|1516942|安装与项目兼容的protobuf，对我来说是3.19.4|1516943|pip+install+protobuf==3.19.4|1516944|将builder.py从(例如“文档”)复制到Lib\site-packages\google\protobuf\internal|1516945|运行您的代码|1516946|entityMap^0|0|0|0|K|0|1|A|C|1A|0|0|0|S|0|N|16|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Y|8|@]|9|@]|A|$]]|$1|E|3|F|5|G|7|Z|8|@$H|10|I|11|J|K]]|9|@]|A|$]]|$1|L|3|M|5|D|7|12|8|@$H|13|I|14|J|K]|$H|15|I|16|J|K]]|9|@]|A|$]]|$1|N|3|O|5|D|7|17|8|@]|9|@]|A|$]]|$1|P|3|Q|5|G|7|18|8|@$H|19|I|1A|J|K]]|9|@]|A|$]]|$1|R|3|S|5|D|7|1B|8|@$H|1C|I|1D|J|K]]|9|@]|A|$]]|$1|T|3|U|5|D|7|1E|8|@]|9|@]|A|$]]|$1|V|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|W|$]]

Follow these steps:
<ol>
<li>Install the latest protobuf (in my case is 4.21.1)</li>
</ol>
<blockquote>
<code>pip install protobuf</code>
</blockquote>
<ol start="2">
<li>Copy <code>builder.py</code> from <code>...\Lib\site-packages\google\protobuf\internal</code> to your computer (let's say 'Documents')</li>
<li>Install protobuf that compatible to your project, for me is 3.19.4</li>
</ol>
<blockquote>
<code>pip install protobuf==3.19.4</code>
</blockquote>
<ol start="4">
<li>Copy builder.py from (let's say 'Documents') to <code>Lib\site-packages\google\protobuf\internal</code></li>
<li>run your code</li>
</ol>

blocks|key|1516959|text|从安装python的位置复制文件builder.py，或者使用ananconda可以复制C:\Users\bachir\PycharmProjects\pythonProject\venv\lib\site-packages\google\protobuf\internal中的builder.py，然后将其粘贴到C：\Users\bachir\PycharmProjects\pythonProject\venv\lib\site-packages\google\protobuf\internal|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1516960|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Copy file builder.py from where your installing python or if your using ananconda may the builder.py in C:\Users\bachir\anaconda3\Lib\site-packages\google\protobuf\internal, copy it then paste to C:\Users\bachir\PycharmProjects\pythonProject\venv\lib\site-packages\google\protobuf\internal

blocks|key|1504095|text|解决方案分两步：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1504096|pip卸载原型|ordered-list-item|1504097|pip安装protobuf==4.21|1504098|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$]]|$1|E|3|F|5|D|7|K|8|@]|9|@]|A|$]]|$1|G|3|-4|5|6|7|L|8|@]|9|@]|A|$]]]|H|$]]

Solution with two step:
<ol>
<li>pip uninstall protobuf
</li>
<li>pip install protobuf==4.21
</li>
</ol>

blocks|key|751754|text|对我有用的是：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|751755|pip卸载原型|ordered-list-item|751756|conda安装原型|751757|(我在使用miniconda3)|751758|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$]]|$1|E|3|F|5|D|7|M|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|N|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|O|8|@]|9|@]|A|$]]]|J|$]]

what worked for me:
<ol>
<li>pip uninstall protobuf</li>
<li>conda install protobuf</li>
</ol>
(im using miniconda3)

blocks|key|1504199|text|由于某种原因，从从builder.py创建的protobuf包中丢失了TensorFlow文件。解决方法是简单地将builder.py的最新副本从protobuf存储库复制到本地驱动器中。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1504200|wget+https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py+-O+[PROTOBUF_PATH]/lib/python3.8/site-packages/google/protobuf/internal/builder.py|code-block|syntax|javascript|1504201|entityMap^0|9|A|M|8|21|8|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|U|8|@]|D|@]|E|$]]]|L|$]]

For some reason, the <code>builder.py</code> file is missing from the <code>protobuf</code> package created from TensorFlow. A workaround is to simply copy the latest copy of builder.py from the <code>protobuf</code> repository into your local drive
<pre><code>wget https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py -O [PROTOBUF_PATH]/lib/python3.8/site-packages/google/protobuf/internal/builder.py
</code></pre>

blocks|key|757739|text|就像维克多回答的那样。在安装protobuf时，在相关的软件包中缺少builder.py。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|757740|https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py|offset|length|757741|复制并粘贴了这段代码，并将其制成一个.py，然后取出该文件并将其粘贴到{your+location}/site-packages/google/protobuf/internal/builder.py中。|757742|一切都成功了。|757743|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|2Y|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@$D|S|E|T|1|U]]|A|$]]|$1|F|3|G|5|6|7|V|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|W|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|X|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|C]]]]

just like Victor answered. When working with tensforflow for somereason when installing protobuf builder.py is missing in the related package.
<a href="https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py" rel="nofollow noreferrer">https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py</a>
copied and pasted this code and made it into a .py then took that file and pasted it in {your env location}/site-packages/google/protobuf/internal/builder.py
and everything has worked.

blocks|key|1504237|text|我在Windows+11上使用Anaconda提示符和环境。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1504238|我通过制作两个Protobuf安装的相同版本解决了这个问题，一个是Anaconda安装，另一个是我从https://github.com/protocolbuffers/protobuf/releases安装的。|offset|length|1504239|为了制作相同的版本，我重新安装了兼容Anaconda安装的Protobuf版本。|1504240|您可以看到什么是您的Protobuf与pip+list|style|CODE|1504241|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/protocolbuffers/protobuf/releases^0|0|1E|1G|0|0|0|J|8|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@$D|V|E|W|1|X]]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@$D|10|E|11|J|K]]|9|@]|A|$]]|$1|L|3|-4|5|6|7|12|8|@]|9|@]|A|$]]]|M|$N|$5|O|P|Q|A|$R|S]]]]

I use Anaconda Prompt and Environment on Windows 11.
I solved the problem by making the same version of the two Protobuf installs one is the Anaconda Protobuf install, and the other one is that I installed from <a href="https://github.com/protocolbuffers/protobuf/releases" rel="nofollow noreferrer">https://github.com/protocolbuffers/protobuf/releases</a>
In order to make the same version, I reinstall Protobuf releases that are compatible with the Anaconda Protoc installation.
You can see what is your Protobuf with <code>pip list</code>

blocks|key|1504284|text|在“测试安装”选项卡上跟随对象检测TensorFlow教程时，将面临同样的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1504285|如上所述，不知道为什么protobuff+3.19.6没有带来builder.py，所以您只需要升级到更高的版本(比如4.21.1)复制builder.py，然后降级到与tensorFlow兼容的原型(在我的例子中是3.19.6)并粘贴它。在我的例子中，我使用的是conda，builder.py文件的位置是：|style|BOLD|1504286|C：\User\+{userX}\miniconda3\envs\+{envname}\Lib\site-packages\google\protobuf\internal|1504287|在此之后，测试运行平稳。|1504288|最好的！|1504289|entityMap|0|LINK|mutability|MUTABLE|url|https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html^0|D|G|0|0|1W|A|0|9|7|Y|9|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@$A|W|B|X|1|Y]]|C|$]]|$1|D|3|E|5|6|7|Z|8|@$A|10|B|11|F|G]]|9|@]|C|$]]|$1|H|3|I|5|6|7|12|8|@$A|13|B|14|F|G]|$A|15|B|16|F|G]]|9|@]|C|$]]|$1|J|3|K|5|6|7|17|8|@]|9|@]|C|$]]|$1|L|3|M|5|6|7|18|8|@]|9|@]|C|$]]|$1|N|3|-4|5|6|7|19|8|@]|9|@]|C|$]]]|O|$P|$5|Q|R|S|C|$T|U]]]]

Facing the same issue while following the <a href="https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html" rel="nofollow noreferrer">Object Detection TensorFlow tutorial</a> on the &quot;Test Installation&quot; tab.
As mentioned above, dunno why protobuff 3.19.6 does not brings builder.py, so you just have to upgrade to to a higher version (lets say 4.21.1) copy builder.py and then downgrading to a tensorFlow compatible protobuff (in my case 3.19.6) and paste it. In my case I was using conda so, builder.py file location was:
C:\Users\ {userX}\miniconda3\envs\ {envname}\Lib\site-packages\google\protobuf\internal
After that, the test run smoothly =).
Best!

I am following this video <a href="https://www.youtube.com/watch?v=pDXdlXlaCco&amp;t=1520s" rel="noreferrer">te</a>xt
An error was found in this code, at 22:22
.
<pre><code>!python {SCRIPTS_PATH + '/generate_tfrecord.py'} -x {IMAGE_PATH + '/train'} -l {ANNOTATION_PATH + '/label_map.pbtxt'} -o {ANNOTATION_PATH + '/train.record'}
!python {SCRIPTS_PATH + '/generate_tfrecord.py'} -x{IMAGE_PATH + '/test'} -l {ANNOTATION_PATH + '/label_map.pbtxt'} -o {ANNOTATION_PATH + '/test.record'}
</code></pre>
.
Post exact error message,
<pre><code>Traceback (most recent call last):
 File &quot;D:\info\1 Master\2 semster\RealTimeObjectDetection-main\Tensorflow\scripts\generate_tfrecord.py&quot;, line 29, in &lt;module&gt;
 from object_detection.utils import dataset_util, label_map_util
 File &quot;C:\Users\bachir\PycharmProjects\pythonProject\venv\lib\site-packages\object_detection\utils\label_map_util.py&quot;, line 29, in &lt;module&gt;
 from object_detection.protos import string_int_label_map_pb2
 File &quot;C:\Users\bachir\PycharmProjects\pythonProject\venv\lib\site-packages\object_detection\protos\string_int_label_map_pb2.py&quot;, line 5, in &lt;module&gt;
 from google.protobuf.internal import builder as _builder
ImportError: cannot import name 'builder' from 'google.protobuf.internal' (C:\Users\bachir\PycharmProjects\pythonProject\venv\lib\site-packages\google\protobuf\internal\__init__.py)
</code></pre>
.
First I tried to download some missing packages but same problem, I would like to help

ImportError: cannot import name 'builder' from 'google.protobuf.internal'

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我正在跟踪这段视频xt，在22:22在这段代码中发现了一个错误。。!python {SCRIPTS_PATH + '/generate_tfrecord.py'} -x {IMAGE_PATH + '/train'} -l {ANNOTATION_PATH + '/label_map.pbtxt'} -o {ANNOT...

问ImportError:无法从“google.protobuf.internal”导入名称“builder”
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问ImportError:无法从“google.protobuf.internal”导入名称“builder”EN