OneEye Changeset - 4381957e967e

Changeset - 4381957e967e

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Laman - 6 years ago 2019-05-09 22:25:27

keras checkpoint saving

1 file changed with 14 insertions and 10 deletions:

exp/kerokero/train.py

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exp/kerokero/train.py

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@@ @@ -6,10 +6,9 @@ import logging as log @@
 import numpy as np
 from keras.layers import Conv2D,Dropout,Dense,Flatten,MaxPooling2D,BatchNormalization,GlobalAveragePooling2D
 from keras.models import Sequential,load_model
 from keras.callbacks import TensorBoard
+from keras.callbacks import TensorBoard,ModelCheckpoint
 import config as cfg
 import ftp
 parser=argparse.ArgumentParser()
 parser.add_argument("data")
@@ @@ -78,12 +77,17 @@ with np.load(args.data) as data: @@
 	testLabels=data["testLabels"]
 log.info("done")
 tensorboard = TensorBoard(log_dir=os.path.join(cfg.thisDir,"../logs","{}".format(time())))
 BIG_STEP=20
 for i in range(args.initial_epoch//BIG_STEP,args.epochs//BIG_STEP):
 	model.fit(trainImages.reshape((-1,224,224,1)),trainLabels,epochs=(i+1)*BIG_STEP,initial_epoch=i*BIG_STEP,batch_size=20,validation_split=0.2,callbacks=[tensorboard])
 	path=args.save_model.format((i+1)*BIG_STEP)
 	log.info("saving model...")
 	model.save(path)
 	# ftp.push(path)
 tensorboard=TensorBoard(log_dir=os.path.join(args.log_dir,"{}".format(time())))
 checkpoint=ModelCheckpoint(args.save_model,monitor="val_loss",period=10)
 model.fit(
 	trainImages.reshape((-1,224,224,1)),
 	trainLabels,
 	epochs=args.epochs,
 	initial_epoch=args.initial_epoch,
 	batch_size=20,
 	validation_split=0.2,
 	callbacks=[tensorboard,checkpoint]
+)
 log.info(model.evaluate(testImages.reshape((-1,224,224,1)),testLabels))

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