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unused sequantial removed

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Sefik Ilkin Serengil 2024-10-05 21:19:39 +01:00
parent 4f48d97606
commit cb0285709e
1 changed files with 1 additions and 4 deletions
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deepface/models/facial_recognition/VGGFace.py
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@ -140,9 +140,7 @@ def load_model(
file_name="vgg_face_weights.h5", source_url=url file_name="vgg_face_weights.h5", source_url=url
) )
model = weight_utils.load_model_weights( model = weight_utils.load_model_weights(model=model, weight_file=weight_file)
model=model, weight_file=weight_file
)
# 2622d dimensional model # 2622d dimensional model
# vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output) # vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)
@ -151,7 +149,6 @@ def load_model(
# - softmax causes underfitting # - softmax causes underfitting
# - added normalization layer to avoid underfitting with euclidean # - added normalization layer to avoid underfitting with euclidean
# as described here: https://github.com/serengil/deepface/issues/944 # as described here: https://github.com/serengil/deepface/issues/944
base_model_output = Sequential()
base_model_output = Flatten()(model.layers[-5].output) base_model_output = Flatten()(model.layers[-5].output)
# keras backend's l2 normalization layer troubles some gpu users (e.g. issue 957, 966) # 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")( # base_model_output = Lambda(lambda x: K.l2_normalize(x, axis=1), name="norm_layer")(