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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.
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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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NitishMutha/CNN-Feature-Extractor
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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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