Extracting bottleneck features for an image in tensorflow

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Description

Bottleneck features are the values computed in the pre-classification layer. In this product, we will see how to extract the bottleneck features from a pre-trained model using TensorFlow. Let’s start by importing the required libraries, using the following code:

import os
import urllib.request
from tensorflow.python.platform import gfile
import tarfile

 

 

 

Running the above code should print as shown here:

[ 0.55705792 0.36785451 1.06618118 ..., 0.6011821 0.36407694
  0.0996572 ]
[ 0.30421323 0.0926369 0.26213276 ..., 0.72273785 0.30847171
  0.08719242]

Matching faster using approximate nearest neighbour in TensorFlow

Matching faster using approximate nearest neighbour in TensorFlow

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SKU: chp3_comvision_tenfow1 Category: