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 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 into a pickle version. After downloading and decompressing the checkpoint file, run the following script

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