title: Reading Python Dictionary in Keras
body: <p>I am trying to adapt the Kaggle Facial Keypoint Detection tutorial and codes to solve a a similar problem. I am trying to detect four keypoint in the human body; Left shoulder, right shoulder, nose and neck. </p>
  
  <p>I used  <a href="http://labelbox.com" rel="nofollow noreferrer">http://labelbox.com</a> to label my images, but the format of the excel file I have now is two columns one with the image name and another one with a python dictionary like this: </p>
  
  <pre><code>{'LS': [{'geometry': {'x': 45, 'y': 21}}],
   'RS': [{'geometry': {'x': 28, 'y': 30}}],
   'Neck': [{'geometry': {'x': 38, 'y': 25}}],
   'Nose': [{'geometry': {'x': 50, 'y': 15}}]}
  </code></pre>
  
  <p>while Kaggle data set uses a column for each point component (one for x another for y for each point). </p>
  
  <p>is there a good way to separate the final x and y values for each point into separate columns. </p>