age-gender-estimation
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Variable shape and weights shape are not matching
Hi,
I am trying to run the codes for Age detection using jupyter notebook but I an getting errors when I try to load the weights. When the code below is used,
base_model = ResNet50(include_top=False, weights='imagenet', input_shape=(224, 224, 3), pooling="avg") prediction = Dense(units=101, kernel_initializer="he_normal", use_bias=False, activation="softmax", name="pred_age")(base_model.output) model = Model(inputs=base_model.input, outputs=prediction)
it yields,
ValueError: Cannot assign to variable conv3_block1_0_conv/kernel:0 due to variable shape (1, 1, 256, 512) and value shape (512, 128, 1, 1) are incompatible
Please help.
Hi,
I am trying to run the codes for Age detection using jupyter notebook but I an getting errors when I try to load the weights. When the code below is used,
base_model = ResNet50(include_top=False, weights='imagenet', input_shape=(224, 224, 3), pooling="avg") prediction = Dense(units=101, kernel_initializer="he_normal", use_bias=False, activation="softmax", name="pred_age")(base_model.output) model = Model(inputs=base_model.input, outputs=prediction)
it yields,
ValueError: Cannot assign to variable conv3_block1_0_conv/kernel:0 due to variable shape (1, 1, 256, 512) and value shape (512, 128, 1, 1) are incompatible
Please help.
HI @christer1114
did you found solution for this problem?
is it crucial you run it from jupyter/IDE? demo.py works fine from the command line
same problem
This is pretty old, but maybe it will help others.
I had this problem too. I found this stack overflow answer that helped me. You just need to add by_name=True
in the model.load_weights(weight_file)
method call. It should be model.load_weights(weight_file,by_name=True)
. It worked for me, so it might work for you too.
This is pretty old, but maybe it will help others.
I had this problem too. I found this stack overflow answer that helped me. You just need to add
by_name=True
in themodel.load_weights(weight_file)
method call. It should bemodel.load_weights(weight_file,by_name=True)
. It worked for me, so it might work for you too.
thank you! I will try & check it!