inception-v3 image classifier

Simple parametized python script to use a fine trained Inception V3 model to classify images.

Based on:

Tensorflow example https://www.tensorflow.org/versions/r0.11/how_tos/image_retraining/index.html#training-on-your-own-categories
This great article on codeLabs https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0

NOTE: This version will work only with TensorFlow-0.9.0-devel!

Dependencies

Python >= 2.7
Tensorflow 0.9.0-devel (see https://www.tensorflow.org/versions/r0.9/get_started/os_setup.html)

Usage:

Fine train the Inception v3 model using the train.sh script:
```
$ ./train.sh --tf_bin=/path/to/tensorflow/installation --tf_data=/path/to/images/data/folder.
```
You can put any number of sub-directories in your data folder, inception will be fine trained to classify any images in categories define by those sub-subdirectories.
```
i.e.
/cat
 -> Persian
 -> Bengal
 -> Burmese
 -> Ragdoll
```
Will train inception to classify any picture into those 4 Cat's breeeds cathegories.

Classify your images with label_image.py:

$ ./label_image.py --datafolder=/tensorflow --image_path=img/cat.jpg
Persian (score = 0.88331)
Bengal (score = 0.11669)
Burmese (score = 0.23879)
Ragdoll (score = 0.17469)

cosimoiaia/inception-v3_img_classifier

inception-v3 image classifier