tensorflowbutler
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I want use the mobilenet_v2_1.4_224 train my data ,because i am going to use the model on the widows CPU, so i use the tensorflow's slim to train my model, train steps with sh code like this
funtu last layers.
CUDA_VISIBLE_DEVICES=1 python3 train_image_classifier.py \ --train_dir=./data/flowers_2/models \ --dataset_name=flowers \ --dataset_split_name=train \ --dataset_dir=./data/flowers_2 \ --model_name=mobilenet_v2_140 \ --checkpoint_path=./data/flowers_2/m_v2_1.4_224/mobilenet_v2_1.4_224.ckpt \ --checkpoint_exclude_scopes=MobilenetV2/Logits,MobilenetV2/AuxLogits \ --trainable_scopes=MobilenetV2/Logits,MobilenetV2/AuxLogits \ --max_number_of_steps=10000 \ --batch_size=32 \ --learning_rate=0.01 \ --learning_rate_decay_type=fixed \ --save_interval_secs=60 \ --save_summaries_secs=60 \ --log_every_n_steps=100 \ --optimizer=rmsprop \ --weight_decay=0.00004all layersCUDA_VISIBLE_DEVICES=1 python3 train_image_classifier.py \ --train_dir=./data/flowers_2/models/all \ --dataset_name=flowers \ --dataset_split_name=train \ --dataset_dir=./data/flowers_2 \ --model_name=mobilenet_v2_140 \ --checkpoint_path=./data/flowers_2/models \ --max_number_of_steps=100000 \ --batch_size=16 \ --learning_rate=0.0001 \ --learning_rate_decay_type=fixed \ --save_interval_secs=60 \ --save_summaries_secs=60 \ --log_every_n_steps=10 \ --optimizer=rmsprop \ --weight_decay=0.00004Describe the problem
after train over, i got the mode.ckpt , then i export_graph and freeze_graph with code like this: `PRETRAINED_CHECKPOINT_DIR=./data/flowers_2/models/all TRAIN_DIR=/tmp/flowers-models/mobilenet_v1_1.0_224 DATASET_DIR=./data/flowers_2 DATASET_NAME=flowers INFER_DIR=./data/flowers_2/models/all/infer MODEL_NAME=mobilenet_v2_140
echo "create model.pb start" CUDA_VISIBLE_DEVICES=0 python3 -u export_inference_graph.py \ --model_name=${MODEL_NAME} \ --output_file=${INFER_DIR}/flowers.pb \ --dataset_name=${DATASET_NAME} \ --dataset_dir=${DATASET_DIR}
echo "start create frzee pb" CUDA_VISIBLE_DEVICES=0 python3 -u /usr/local/lib/python3.5/dist-packages/tensorflow/python/tools/freeze_graph.py \ --input_graph=${INFER_DIR}/flowers.pb \ --input_checkpoint=${PRETRAINED_CHECKPOINT_DIR}/model.ckpt-44885 \ --output_graph=${INFER_DIR}/my_freeze.pb \ --input_binary=True \ --output_node_name=MobilenetV2/Predictions/Reshape_1` then i got the flowers.pb and the my_freeze.pb
the use the same code ,the got error :
it seems like that some layers was not found in opencv4.01,so i check the two pbfile(my_freeze.pb and mobilenet_v2_1.0_224_frozen.pb) with code like this:
`mobile_net = '../data/mobilenet_v2_1.4_224/mobilenet_v2_1.4_224_frozen.pb' my_mobile_net = '../data/flowers_2/models/all/infer/my_freeze.pb' def create_graph(): with tf.gfile.FastGFile(my_mobile_net, 'rb') as f: graph_def = tf.GraphDef() graph_def.ParseFromString(f.read()) tf.import_graph_def(graph_def, name='') create_graph() tensor_name_list_my = [tensor.name for tensor in tf.get_default_graph().as_graph_def().node]
print(len(tensor_name_list)) print(len(tensor_name_list_my)) for idx,tensor_name in enumerate(tensor_name_list_my): if(idx<len(tensor_name_list)): print(idx+1,"-->",tensor_name,idx+1,"-->",tensor_name_list[idx],'\n') else: print(idx+1,"-->",tensor_name,'\n') ` the length is not same ,
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so i think some thing was wrong with my export_inference_graph.py, can you tell me how can i got the pb just as same as the tf's mobilenet_v1_1.0224.pb,
@tensorflowbutler