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InceptionV3_TensorFlow

InceptionV3_TensorFlow is an implementation of inception v3 using tensorflow and slim according to our guidline.

Dependencies

  • TensorFlow (>= 0.8)

Features

  • train
  • save checkpoint
  • real time dataaugumentation

Setup

  1. download data in data/readme.md
  2. execute "data/create_examples_list.py"
  3. execute "data/relation_tag_to_id.py"
  4. you can see train_csv.txt and test_csv.txt

Start to train##

python trainer.py

How to use your own data sets

  • create train_csv.txt and test_csv.txt in data directory.

datalist format

<image path>,<label number>  
...
  • change num_classes in settings.py

Fine tune

  • change fine_tune in settings.py

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Inception v3 (GoogelNet V3) using TensorFlow and Tensor-Slim

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  • Python 100.0%