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Handy TensorFlow code to extract features from any image using CNN using state of the art architectures

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CNN Feature Extractor

  • This code can be used to extract the CNN penultimate layer feature vectors from the state-of-the-art Convolutional neural network architectures which are trained on 1 million ImageNet images.

  • The code shows the example of using RESNET-152 version 2. But it can be easily modified to use a different CNN architectures, provided in the models folder, which are originally developed by Tensorflow-slim authors.

    • ResNet 152 v2
    • ResNet 152 v1
    • VGG16

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Handy TensorFlow code to extract features from any image using CNN using state of the art architectures

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