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ResNet18 with no top: How to obtain 512-dimensional vector? #71

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andrei-volkau opened this issue Dec 14, 2021 · 1 comment

andrei-volkau commented Dec 14, 2021 •

edited

I am wondering how to obtain a 512-dimensional vector for an image. I am interested in ResNet18 with no top layer.

As for now, I am getting a list of vectors like the following one.
list_of_vectors.txt

I expected getting one 512-dimensional vector for an image

Marwen-Bhj commented Jan 20, 2022

This might be late, but can be of use for anyone faced this

ResNet18, preprocess_input = Classifiers.get('resnet18')
base_model = ResNet18(input_shape=(224,224,3), weights='imagenet', include_top=False)
output = keras.layers.GlobalAveragePooling2D()(base_model.output)
resnet18 = keras.models.Model(inputs=[base_model.input], outputs=[output])

And by the way adding a list of vectors text file like that doesn't make any sense, you could have just shared the shape of your output.

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