Tensorflow+Inception transfer learning

retrain_example.sh

# Might be missing some steps... putting this together as I go
docker run -it tensorflow/tensorflow bash

###
apt-get update
apt-get install python-virtualenv nano

mkdir ~/src && cd ~/src
virtualenv tensorflow_retrain
source ./tensorflow_retrain/bin/activate

# Installs tensorflow 0.11, which I know works...
export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
pip install --ignore-installed --upgrade $TF_BINARY_URL

# Grab the tf 0.11 version of the Inception v3 retrain script
curl https://raw.githubusercontent.com/tensorflow/tensorflow/r0.11/tensorflow/examples/image_retraining/retrain.py > retrain.py

cd ~/
# Grab example images of flowers...
curl -O http://download.tensorflow.org/example_images/flower_photos.tgz
tar xzf flower_photos.tgz

python src/retrain.py --image_dir ~/flower_photos

# Get a script example that uses the newly retrained model to classify a given image...
curl https://raw.githubusercontent.com/eldor4do/Tensorflow-Examples/76b04c85194ca01ab8641ddb033e0b10b5419426/retraining-example.py>classify_example.py

# Get an image of some flower(s). This one is a bouquet of roses.
# Drop it in /tmp/imagenet/flower.jpg because that's where the script is looking
curl http://i.imgur.com/FqaRuTn.jpg>/tmp/imagenet/flower.jpg
python classify_example.py
# $ roses (score = 0.57438)
# $ tulips (score = 0.26628)
# $ sunflowers (score = 0.13434)
# $ daisy (score = 0.02266)
# $ dandelion (score = 0.00235)