content/zh/_sources/docs/model_zoo/imagenet/inception/README.md.txt

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name: Inception V4 on ImageNet SINGA version: 1.1.1 SINGA commit: parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz parameter_sha1: 5fdd6f5d8af8fd10e7321d9b38bb87ef14e80d56 license: https://github.com/tensorflow/models/tree/master/slim

---

# 用Inception V4做图像分类


这个例子中，我们将Tensorflow训练好的Inception V4转换为SINGA模型以用作图像分类。

## 操作说明

* 下载参数的checkpoint文件到如下目录

        $ wget
		$ tar xvf inception_v4.tar.gz

* 运行程序

        # use cpu
        $ python serve.py -C &
        # use gpu
        $ python serve.py &

* 提交图片进行分类

        $ curl -i -F image=@image1.jpg http://localhost:9999/api
        $ curl -i -F image=@image2.jpg http://localhost:9999/api
        $ curl -i -F image=@image3.jpg http://localhost:9999/api

image1.jpg, image2.jpg和image3.jpg应该在执行指令前就已被下载。

## 详细信息

我们首先从Tensorflow的checkpoint文件中提取参数值到一个pickle版本中。 下载并解压缩checkpoint文件后，运行以下脚本

	$ python convert.py --file_name=inception_v4.ckpt