diff --git a/bob/learn/tensorflow/script/train_siamese_casia_webface.py b/bob/learn/tensorflow/script/train_siamese_casia_webface.py index 26f168a2c568270f1b3db4e85a66508c03d2f754..5d1f6e9c307cff1b7f7bfbc5f9d68e09f8f71ebd 100644 --- a/bob/learn/tensorflow/script/train_siamese_casia_webface.py +++ b/bob/learn/tensorflow/script/train_siamese_casia_webface.py @@ -49,11 +49,11 @@ def main(): train_objects = db_casia.objects(groups="world") #train_objects = db.objects(groups="world") train_labels = [int(o.client_id) for o in train_objects] - directory = "/idiap/resource/database/CASIA-WebFace/CASIA-WebFace" + directory = "/idiap/temp/tpereira/DEEP_FACE/CASIA_WEBFACE/casia_webface/preprocessed" train_file_names = [o.make_path( directory=directory, - extension="") + extension=".hdf5") for o in train_objects] #train_data_shuffler = TripletWithSelectionDisk(train_file_names, train_labels, @@ -61,12 +61,12 @@ def main(): # batch_size=BATCH_SIZE) train_data_shuffler = TripletWithFastSelectionDisk(train_file_names, train_labels, - input_shape=[125, 125, 3], + input_shape=[224, 224, 3], batch_size=BATCH_SIZE) # Preparing train set - directory = "/idiap/temp/tpereira/DEEP_FACE/CASIA/preprocessed" + directory = "/idiap/temp/tpereira/DEEP_FACE/CASIA_WEBFACE/mobio/preprocessed" validation_objects = db_mobio.objects(protocol="male", groups="dev") validation_labels = [o.client_id for o in validation_objects] @@ -76,7 +76,7 @@ def main(): for o in validation_objects] validation_data_shuffler = TripletDisk(validation_file_names, validation_labels, - input_shape=[125, 125, 3], + input_shape=[224, 224, 3], batch_size=VALIDATION_BATCH_SIZE) # Preparing the architecture # LENET PAPER CHOPRA