问题描述
我想在我的go应用程序中使用经过预先训练的模型.特别是Inception-ResNet-v2模型.该模型似乎只能通过tensorflow集线器( https://www.tensorflow.org/hub/).
I want to use pre trained models in my go application. Especially the Inception-ResNet-v2 model.This model seems to be only available via tensorflow hub (https://www.tensorflow.org/hub/).
但是我找不到任何有关如何使用带有Tenorflow的go语言绑定的tensorflow hub的文档.
However I could not find any documentation how to use tensorflow hub with the go language bindings for tensorflow.
如何在go中下载和使用这些模型?
How can I download and use these models in go?
推荐答案
因此，在过去几天的大量工作之后，我终于找到了一种方法.
So after a lot of work in the past few days I finally found a way.
起初，我只想使用Python来完成所有Tensorflow的工作，然后通过rest服务提供结果.但是事实证明，Tensorflow Hub提供的模型数量很少.这对我来说是个问题，因为我必须尝试不同的模型并进行比较.
At first I wanted to just use Python to do all the Tensorflow stuff and then provide the results via a rest service. However it turned out that the number of models provided by Tensorflow Hub is very small. This was a problem for me because I had to try out different models and compare them.
因此，我转而使用 https://github.com/tensorflow/models 中的模型.有一些教程如何将数据导出到.pb文件.然后可以使用gocv将这些文件加载到Go中.
Thus I switched to using models from https://github.com/tensorflow/models. There are several tutorials how to export the data to .pb files. Those files can then be loaded in Go using gocv.
转换文件需要大量工作，但最终我认为这是在使用Tensorflow模型的最佳方法.
It requires a lot of work to convert the files, but in the end I think this is the best way to use Tensorflow models in go.
这篇关于在Go中使用Tensorflow Hub的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！