ValueError: You are trying to load a weight file containing 0 layers into a model with 16 layers.

[Rohit Gandikota]

I'am currently using keras 2.1.5 in anaconda(windows). This is the error when I'am trying to load the weights file available online into VGG16 model. 

And the code goes like: 

def obtain_compiled_vgg_16(vgg_weights_path):

    model = vgg_16(vgg_weights_path)

    sgd = SGD(lr=0.1, decay=1e-6, momentum=0.9, nesterov=True)

    model.compile(optimizer=sgd, loss='categorical_crossentropy')

    return model

def vgg_16(weights_path=None):

    model = Sequential()

    model.add(ZeroPadding2D((1, 1), input_shape=(3, 224, 224)))

    model.add(Convolution2D(64, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(64, 3, 3, activation='relu'))

    model.add(MaxPooling2D((2, 2), strides=(2, 2)))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(128, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(128, 3, 3, activation='relu'))

    model.add(MaxPooling2D((2, 2), strides=(2, 2)))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(256, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(256, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(256, 3, 3, activation='relu'))

    model.add(MaxPooling2D((2, 2), strides=(2, 2)))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(512, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(512, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(512, 3, 3, activation='relu'))

    model.add(MaxPooling2D((2, 2), strides=(2, 2)))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(512, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(512, 3, 3, activation='relu'))

    model.add(ZeroPadding2D((1, 1)))

    model.add(Convolution2D(512, 3, 3, activation='relu'))

    model.add(MaxPooling2D((2, 2), strides=(2, 2)))

    model.add(Flatten())

    model.add(Dense(4096, activation='relu'))

    model.add(Dropout(0.5))

    model.add(Dense(4096, activation='relu'))

    model.add(Dropout(0.5))

    model.add(Dense(1000, activation='softmax'))

    if weights_path:

        model.load_weights(weights_path)

    return model

path_vgg = "./vgg16_weights.h5"

 model_vgg = obtain_compiled_vgg_16(path_vgg)

After running this I'am getting this as error: 

  File "C:\Users\rohit\Anaconda2\envs\tensorflow\lib\site-packages\keras\engine\topology.py", line 3354, in load_weights_from_hdf5_group

    str(len(filtered_layers)) + ' layers.')

ValueError: You are trying to load a weight file containing 0 layers into a model with 16 layers.

Can someone help me with this, I'am stuck on this for a while now and can't downgrade my keras 

[wang...@gmail.com]

You may want to double check your weight file since it is saying the weight file contains 0 layers. There should be other ways of downloading VGG19 if you search around.

[Rohit Gandikota]

Yeah, I've checked the file again. I tried downloading other files too. It shows the same error

[aakash...@gmail.com]

Did you solve this error?

[Ted Yu]

The weight file didn't have layer.

Can you let us know where you downloaded it ?

Cheers

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[Lance Norskog]

I think that under Windows it needs to be "vgg16_weights.h5" or ".\\vgg16_weights.h5".

"./vgg16_weights.h5" is Unix-style.

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Lance Norskog
lance....@gmail.com
Redwood City, CA