title: python imagededupe can you reconstruct an original image from its embeddings?
body: <p>I am using <a href="https://github.com/idealo/imagededup" rel="nofollow noreferrer">imagededupe</a> in Python to produce image embeddings I place in a folder and I want to take those embeddings and convert them back to the original .jpg image.</p>
  <p>I encode each image by using the <code>CNN</code> method (<em>convolutional neural network trained on <code>ImageNet</code></em>) method that package.</p>
  <p>The resulting encodings are <code>numpy.ndarray</code> type, like so:</p>
  <pre><code>{'IMG-7817.jpg': array([0.        , 0.8666797 , 0.6738928 , ..., 0.19499177, 0.19915162,
          0.11766607], dtype=float32)}
  </code></pre>
  <p>To persist them in memory, I have used <code>numpy.ndarray.tolist()</code> to convert the <code>ndarray</code> values into a list of <code>floats</code>. Then it saves it as a new document into MongoDB.</p>
  <p>Here is an example of one document, showing the floats:</p>
  <pre><code>{'_id': ObjectId('62de157cd66e524858266e56'),
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   'updatedAt': datetime.datetime(2022, 7, 25, 0, 33, 50, 36000)}
  
  </code></pre>
  <p>And so, I want to take those saved embeddings from MongoDB and convert them back to the original <code>.jpg</code> image.</p>
  <p><strong>Can this be done?</strong></p>
  <p>I have tried unsuccessfully the following before asking:</p>
  <ol>
  <li>Took the embeddings list, passed it to np.array (converting it into ndarray), then tried to use Image.fromarray to generate the image.  Got a <code>ValueError: not enough image data</code></li>
  </ol>
  <p>code:</p>
  <pre><code>na = np.array( embeddings_doc['embeddings'] ) 
  image = Image.fromarray(na.astype('uint8'), 'RGB')
  image
  </code></pre>
  <ol start="2">
  <li>Tried to use PIL Image to render an image but it ended up displaying an image with a single line (the embeddings no doubt but a single line is not what I am after)</li>
  </ol>
  <p>Before trying keras, perhaps someone can advise a better way to regenerate the original image from encodings?</p>
  <p>I'm not saving the image shape.  Should I?  Is that going to be needed or can that be <em>figured out</em> by python somehow?</p>