Created
August 16, 2018 14:44
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Convert keras model to pb file
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# load keras model from disk | |
model_name = "GVC_IncepvtionV3_epoch_6_vanilla_vgg_chute_date_2018_07_27" | |
json_file = open(model_name+'.json', 'r') | |
model_json = json_file.read() | |
json_file.close() | |
model = tensorflow.keras.models.model_from_json(model_json) | |
# load weights into new model | |
model.load_weights(model_name+".h5") | |
print("Loaded model from disk") | |
from tensorflow.python.framework.graph_util import convert_variables_to_constants | |
# access the default graph | |
graph = tensorflow.keras.backend.get_session().graph | |
# retrieve the protobuf graph definition | |
input_graph_def = graph.as_graph_def() | |
output_node_names = "inception_resnet_v2_input,output/Softmax" | |
# check names of graph | |
# [n.name for n in graph.as_graph_def().node if "up_sampling2d_42" in n.name] | |
# TensorFlow built-in helper to export variables to constants | |
output_graph_def = convert_variables_to_constants( | |
sess=tensorflow.keras.backend.get_session(), | |
input_graph_def=input_graph_def, # GraphDef object holding the network | |
output_node_names=output_node_names.split(",") | |
) | |
tf.train.write_graph(output_graph_def, | |
"./", | |
model_name+"_graph.pb", | |
as_text=False) |
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