Download
Python Deep Zoom Tools (0.1.0)
http://open-zoom.googlecode.com/files/deep-zoom-tools-0.1.0.zip

Let me know if it works for you!

Cheers,
Daniel

P.S. Post feedback to http://getsatisfaction.com/openzoom

For anyone interested in incorporating very large images into their applications, check out the open source OpenZoom framework I’ve started at http://openzoom.org/
Basically, OpenZoom provides you with some building blocks to create ZUI applications like mapping, e-commerce, medical that need to present multi-scale images in formats such as Zoomify, Deep Zoom or others in a dynamic fashion.
To see some examples of things you can do with OpenZoom, I encourage you to check out my blog http://gasi.ch/blog/flex-multiscaleimage-component/ or tandem, a proof of concept for browsing Flickr at http://tandem.gasi.ch/

Cheers,
Daniel

http://onemansblog.com/2008/04/04/gigapixel-photo-of-1906-san-francisco-earthquake-aftermath/

To deal with large images properly, you may have to get aggressive about purging memory. The music image successfully loaded into memory, and all but the highest resolution tile set was correctly created with your script; it was just the last set of tiles where it ran out of memory.

As for feature requests, besides handling larger images successfully, the only other thing I’d want at the moment would be some sort of progress indication (like a verbose mode).

I’ll continue pointing people in your direction, and we’ll see what sort of interest the script gets. I’m excited about all the new developments!

@igilman for jpeg images, the memory usage seems to be total pixel size (w*h) * 4.3. The largest image i’m working with is about 110M pixels. I was unable to find the source image for the referenced world wide music scene, and the very very large image group on flickr all seem to be well below 110M pixels. most of the memory constraints seem to be related to the underlying image functionality offered by the python image library (PIL). While there are other cross platform libraries, their installation and language bindings for python are typically non trivial on non linux platforms (my production environment for this app is solaris). In terms of future development, if there are additional feature requests, i’m open to them, and if there is interest i can set up a project on a hosted platform. alternatively if there’s interest in folding this into a deep zoom hosted download, i’d be happy to sign it over. outside of distribution as a python egg for easier installation, and a verbose/progress option, i’m pretty happy with the script.

Thank you for making this Python script! It’s a great service to the Deep Zoom community. I’ve mentioned it now on my Dragonosticism blog:

http://dragonosticism.wordpress.com/2008/12/10/deep-zoom-image-creation-with-python/

I tried it on a 5,000 pixel square image, and it worked perfectly. I then tried it on the 20,000 pixel square World Wide Music Scene image from the Seadragon Ajax Gallery, and it ground my system to a halt and then failed with a memory error. This isn’t surprising, as most tools break down at those sizes, but we’re hoping to help get us all past that.

Are you planning on continuing to develop this script?

I used TileCache with Geoserver to generate several thousand PNG tiles using its seed script. Then I:

1. Uploaded the images to Amazon S3 using the directory structure generated by TileCache
2. Created a CloudFront distribution
3. Turned off both TileCache and Geoserver (since I seeded 100% of the zoom levels and extent I’m dealing with — in my case, New York City and environs)
4. Used OpenLayers’ Tile Map Service (TMS) support to grab the correct tiles from CloudFront

Wow, it’s fast. And my bill last month — even after all the PNG PUT requests and prorating to account for the partial month of CloudFront service — was just under one dollar.