解决Keras模型加载速度慢

原始模型保存

 model.save('model{0}.h5'.format(n_model))

原始模型加载

models= load_model('model{0}.h5'.format(ix)) 

改进模型保存

model.save_weights('model.h5')
model_json = model.to_json()
with open('model.json', "w") as json_file: 
json_file.write(model_json)
json_file.close()

改进模型加载

from keras.models import model_from_json
json_file = open("model.json", 'r')
loaded_model_json = json_file.read()
json_file.close()
model = model_from_json(loaded_model_json)
model.load_weights("model.h5")

通过在每次加载之前清除keras会话来解决了这个问题

from keras import backend as K
for i in range(...):
  K.clear_session()
  model = load_model(...)

参考：https://www.it1352.com/1524821.html