From cb0285709efec10d063fa0ed27aef9a4471f77da Mon Sep 17 00:00:00 2001 From: Sefik Ilkin Serengil Date: Sat, 5 Oct 2024 21:19:39 +0100 Subject: [PATCH] unused sequantial removed --- deepface/models/facial_recognition/VGGFace.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/deepface/models/facial_recognition/VGGFace.py b/deepface/models/facial_recognition/VGGFace.py index 56c8a54..fa86e28 100644 --- a/deepface/models/facial_recognition/VGGFace.py +++ b/deepface/models/facial_recognition/VGGFace.py @@ -140,9 +140,7 @@ def load_model( file_name="vgg_face_weights.h5", source_url=url ) - model = weight_utils.load_model_weights( - model=model, weight_file=weight_file - ) + model = weight_utils.load_model_weights(model=model, weight_file=weight_file) # 2622d dimensional model # vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output) @@ -151,7 +149,6 @@ def load_model( # - softmax causes underfitting # - added normalization layer to avoid underfitting with euclidean # as described here: https://github.com/serengil/deepface/issues/944 - base_model_output = Sequential() base_model_output = Flatten()(model.layers[-5].output) # keras backend's l2 normalization layer troubles some gpu users (e.g. issue 957, 966) # base_model_output = Lambda(lambda x: K.l2_normalize(x, axis=1), name="norm_layer")(