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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 |
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