slim-transfer-learning

PRETRAINED_CHECKPOINT_DIR=checkpointsDATASET_DIR=datasets/natural/seg_trainTRAIN_DIR=model#CHECKPOINT_DIR=checkpoints/mobilenet#CHECKPOINT_FILE=${CHECKPOINT_DIR}/inception_v1.ckptpython3 train_image_classifier.py \    --max_number_of_steps=10000 \    --learning-rate=0.0001 \    --batch-size=256 \    --train_dir=${TRAIN_DIR} \    --dataset_name=natural \    --dataset_split_name=train \    --dataset_dir=${DATASET_DIR} \    --model_name=mobilenet_v3_large \    --clone_on_cpu=False \    --alsologtostderr \    --log_every_n_steps=1 \    --checkpoint_path=${PRETRAINED_CHECKPOINT_DIR}/mobilenet/model-540000 \    --checkpoint_exclude_scopes=MobilenetV3/Logits \    --trainable_scopes=MobilenetV3/Logits