协作安装Tensorflow对象检测API [英] Colaboratory install Tensorflow Object Detection Api

问题描述

我在Google合作实验室成功地在Tensorflow中执行了一个训练模型和图像识别的笔记本.现在，我要使用对象检测API 启动一个新笔记本.当我执行代码时，出现以下错误:

  ModuleNotFoundError:没有名为"object_detection"的模块 

如何在Colaboratory中安装对象检测Api"?我遵循安装说明，但我可以不执行:

 #来自tensorflow/models/research/协议object_detection/protos/*.proto --python_out =. 

解决方案

以下是一个示例笔记本，其中显示了TensorFlow对象检测API的安装和配置:

https://colab.research.google.com/drive/1kHEQK2uk35xXZ_bzMUgLkoysJIWwznYr

与网站上的安装说明不同，包括直接修改 sys.path 和使用％run 执行 model_builder_test.py .这些差异的原因是，当在Colab中运行时，您已经在Python解释器中，因此您无需担心修改环境，以供将来 python 的shell调用.

I succesfully executed in Google Colaboratory a notebook of training model and image recognition in Tensorflow. Now I want to start a new notebook with Object Detection Api. When I execute my code I get following error:

ModuleNotFoundError: No module named 'object_detection'

How can I install Object Detection Api in Colaboratory? I follow the install instructions but I can't execute:

# From tensorflow/models/research/
protoc object_detection/protos/*.proto --python_out=.

解决方案

Here is an example notebook that shows the installation and configuration of the TensorFlow object detection API:

https://colab.research.google.com/drive/1kHEQK2uk35xXZ_bzMUgLkoysJIWwznYr

The departure from the install instructions on the site include modifying sys.path directly and executing model_builder_test.py using %run. The reason for these differences is that when running in Colab, you're already in a Python interpreter, so you don't need to worry about modifying the environment for a future shell invocation of python.

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