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# Image Classification using Inception V4

In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification. Tested on SINGA version 1.1.1 with [parameters pretrained by tensorflow](https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz).

## Instructions

* Download the parameter checkpoint file

        $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz
        $ 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