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export DATASET_DIR=/tmp/data/flowers
export TRAIN_DIR=/tmp/data/tfrun
export CHECKPOINT_PATH=/tmp/data/checkpoints

mkdir -p $DATASET_DIR $TRAIN_DIR $CHECKPOINT_PATH

CWD=`pwd`
cd $CHECKPOINT_PATH && wget http://download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz && tar -xvzf inception_v4_2016_09_09.tar.gz

cd $CWD

python download_and_convert_data.py \
  --dataset_name=flowers \
  --dataset_dir="${DATASET_DIR}"

python train_image_classifier.py \
  --train_dir=${TRAIN_DIR} \
  --dataset_dir=${DATASET_DIR} \
  --dataset_name=flowers \
  --dataset_split_name=train \
  --model_name=inception_v4 \
  --checkpoint_path=${CHECKPOINT_PATH}/inception_v4.ckpt \
  --checkpoint_exclude_scopes=InceptionV4/Logits,InceptionV4/AuxLogits \
  --save_summaries_secs=120 \
  --batch_size=32 \
  --save_interval_secs=1800