---
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
---

# Image Classification using Inception V4

In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification.

## Instructions

* Download the parameter checkpoint file

        $ wget
        $ tar xvf inception_v4.tar.gz

* Download [synset_word.txt](https://github.com/BVLC/caffe/blob/master/data/ilsvrc12/get_ilsvrc_aux.sh) file.

* Run the program

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

* Submit images for classification

        $ 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 and image3.jpg should be downloaded before executing the above commands.

## Details

We first extract the parameter values from [Tensorflow's checkpoint file](http://download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz) into a pickle version.
After downloading and decompressing the checkpoint file, run the following script

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