Comments

• Edwin

  January 2015 edited 3:09AM

  Thanks for the feedback! Nice to see people using this

  In my experience, not all image types are loaded properly. I think JPEGs work best. Could you convert your images?

  As an aside: You could simply install the Ubuntu font, but it's not a requirement. If matplotlib can't find Ubuntu, it will simply revert back to the default option.

  Good luck!

  Edwin
• hiwi68

  January 2015 edited January 2015

  Thank you so much!
  Having the images converted to .jpg I got all three visualizations working. Note that it was necessary to install Pillow ( see http://stackoverflow.com/questions/24356421/attributeerror-builtin-function-or-method-object-has-no-attribute-iterkeys ). Otherwise I got the error
  AttributeError: 'builtin_function_or_method' object has no attribute 'iterkeys'
  
  So I am getting very close now. Results look fine except scanpaths which always start at 0/0 (see image). Unfortunately the program crashes with something that looks like a memory allocation error when trying to terminate after using either draw_scanpath or draw_fixations (draw_heatmap does not produce this error).
  
  alloc: invalid block: 03E55CD8: 58 3
  

  Btw. I installed the Ubuntu font, but it still isn't recognized.

  Best regards
  Digo
  
  
  
• Edwin

  January 2015 edited January 2015

  Hi Digo,

  Thanks for the feedback! I wasn't aware of the matplotlib issue you mention. Did you not have PIL installed, or was Pillow required nonetheless?

  The (0,0) points (top left) are missing data, which is not filtered by the saccade algorithm. And, actually, I rethought the way I construct those scanpaths. They don't really require saccades at all, the fixations alone should be enough. I'll try to reprogram some stuff over the weekend.

  The memory error is probably related to matplotlib. Have you tried closing the figures after creating them? (bottom line of the example below)

  # ...continued from your script above
  
  from matplotlib import pyplot
  
  # fill out your own path
  saveFilePath = "/YOUR/PATH/HERE"
  
  # create a new heatmap
  fig, axes = gp.draw_heatmap(fixations, dispsize=display, imagefile=imageFile, durationweight=True, alpha=0.5, savefilename=saveFilePath)
  
  # add a watermark
  axes.annotate("created using PyGazeAnalyser", (0,0), fontsize=24, color='white', alpha=0.5)
  
  # save your creation
  fig.savefig(saveFilePath)
  
  # close the figure
  pyplot.close(fig)
  

  The Figure and associated Axes instances are native to matplotlib. They are returned so you can do some further image manipulation (annotate texts, add an axis, set a title etc.) by using matplotlib functions. This also means you might want to actively close them afterwards. See the example above for practical info.

  Cheers,
  Edwin
• hiwi68

  January 2015 edited 3:09AM

  Hi Edwin,
  
  thanks again. Closing the fig helps! If I got that right it is done using pyplot since figure doesn't have a closing routine:
  
  
import matplotlib.pyplot as plt

...

fig = gp.draw_fixations(fixations, dispsize=display, imagefile=imageFile, durationsize=True, durationcolour=False, alpha=0.5,
savefilename="saveFilePath")

plt.close(fig)


  
  Best regards
  
  Digo
• Edwin

  January 2015 edited 3:09AM

  Apologies, you are completely right! I've updated my post.

  Glad the closing helped solve part of your issue, though! Am still working on the other bit.