使用Google Cloud Machine Learning服务来预测本地重新训练的Inception模型(Use Google Cloud Machine Learning service to predict with a locally retrained Inception model)
我使用来自Google Code Lab TensorFlow for Poets的retrain.py文件在本地重新训练了Inception模型，并希望使用Google Cloud机器学习服务进行预测。
具体来说，我想修改retrain.py文件，所以我的TensorFlow应用程序已准备就绪
gcloud beta ml预测--instances = INSTANCES --model = MODEL
（即仅预测;不需要Google Cloud ML培训ala gloud beta ml工作提交培训）。
我从概念上理解必须按照准备模型中的描述修改retrain.py文件。
但是没有完整的答案显示在修改后的retrain.py文件中的所有代码行。 Google Code Lab TensorFlow for Poets和Pete Warden关于再培训Inception的截屏的受欢迎程度使得人们期望这是TensorFlow社区中图像分类的一个非常常见的例子。 这意味着答案将使社区中的许多人受益。
有人会在按照准备模型中的描述进行修改后回复他们的版本的retrain.py文件吗？
注1：我已经研究了我的问题，以确认它没有得到答复......
... Davide Biraghi提出并由JoshGC回答的问题“Q：如何预测谷歌机器学习中的图像”并未显示对重新训练Google Code Lab TensorFlow for Poets中的Inception模型的retrain.py文件的任何修改。
...... KlezFromSpace提出并由rhaertel80回答的问题（由Robert Lacok提供有用的评论）“Q：在Google云计算机上学习部署Retrained inception模型”在修改后没有显示retrain.py文件中的所有代码行：确定产出; 创造投入; 支持可变批量大小; 使用实例键; 将输入和输出集合添加到图形中; 和导出（保存）最终模型。 （参见上面的准备模型。）
...... Vinkeet Kaushik提出的问题和Robert Lacok的回答（mrry的有用评论）“问：将基本的Tensorflow模型导出到Google Cloud ML”并不特定于重新训练Google Code Lab中的Inception模型的retrain.py文件TensorFlow为诗人。
注2：我假设要进行预测的jpeg图像是
gcloud beta ml预测--instances = INSTANCES --model = MODEL
其中INSTANCES是一个JSON文件的路径，其中包含有关图像的信息，根据Davide Biraghi提出的问题并由rhaertel80回答“Q：如何在Google机器学习中将jpeg图像转换为json文件”
注3：我假设我将手动存储由修改后的retrain.py文件保存的EXPORT和EXPORT.META文件，该文件位于我用于在Google Cloud Console中创建MODEL的URL。
I have locally retrained the Inception model using the retrain.py file from Google Code Lab TensorFlow for Poets and want to use Google Cloud machine Learning service to make predictions.
Specifically, I want to modify the retrain.py file, so my TensorFlow application is prepared for
gcloud beta ml predict --instances=INSTANCES --model=MODEL
(i.e., prediction only; no need for Google Cloud ML training ala gloud beta ml jobs submit training).
I understand conceptually that the retrain.py file must be modified as described in Preparing a Model.
But there is no complete answer showing all the lines of code in the retrain.py file after being modified. And the popularity of Google Code Lab TensorFlow for Poets and Pete Warden’s screencasts about retraining Inception makes one expect this to be a very common example of image classification among the TensorFlow community; which means an answer will benefit many in the community.
Will someone please answer with their version of the retrain.py file after being modified as described in Preparing a Model?
Note 1: I have researched my question to confirm it has not been answered…
… The question asked by Davide Biraghi and answered by JoshGC “Q: How predict an image in google machine learning” does not show any modifications to the retrain.py file that retrains the Inception model in Google Code Lab TensorFlow for Poets.
… The question asked by KlezFromSpace and answered by rhaertel80 (with helpful comments by Robert Lacok) “Q: Deploy Retrained inception model on Google cloud machine learning” does not show all the lines of code in the retrain.py file after being modified for: Defining outputs; Creating inputs; Supporting variable batch sizes; Using instance keys; Adding input and output collections to the graph; and Exporting (saving) the final model. (See above Preparing a Model.)
… The question asked by Vinkeet Kaushik and answered by Robert Lacok (with helpful comments by mrry) “Q: Export a basic Tensorflow model to Google Cloud ML” is not specific to the retrain.py file that retrains the Inception model in Google Code Lab TensorFlow for Poets.
Note 2: I assume the jpeg image for which prediction is to be made is
gcloud beta ml predict --instances=INSTANCES --model=MODEL
where INSTANCES is the path to a JSON file with information about the image as per the question asked by Davide Biraghi and answered by rhaertel80 “Q: How convert a jpeg image into json file in Google machine learning”
Note 3: I assume I will manually store the EXPORT and EXPORT.META files saved by the modified retrain.py file at the URL I use to create MODEL in Google Cloud Console.
原文：https://stackoverflow.com/questions/41023733
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