一、安装教程:
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md
二、具体步骤:
1. https://github.com/tensorflow/models
下载model-master
2. 安装protobuf,编译.proto文件
# From tensorflow/models/research/
protoc object_detection/protos/*.proto –python_out=.
3.添加research和slim路径到PYTHONPATH
使用指令打开bashrc:
sudo vim ~/.bashrc
‘++++++++++++++++++++++++++++++++++++++++++’
From tensorflow/models/research/
export PYTHONPATH=$PYTHONPATH:pwd:pwd/slim
4.测试object_detection API
python object_detection/builders/model_builder_test.py
‘—————————————————————————’
Ran 15 tests in 0.039s
OK

本文档详细介绍了如何在本地环境中安装并配置TensorFlow的目标检测API。主要内容包括从GitHub上下载源码、安装protobuf并编译.proto文件、设置PYTHONPATH环境变量及验证安装是否成功。
2437

被折叠的 条评论
为什么被折叠?



