Re: [gdal-dev] gdal_polygonize.py TIF to JSON performance

2015-01-12 Thread chris snow
lygons. > > I don't know anything about how the dissolve algorithm is written, so I > can't predict it's performance and how it will scale with image size and > number of tiles. However, if it takes advantage of spatial indices, it > could scale fairly well unless you have

Re: [gdal-dev] gdal_polygonize.py TIF to JSON performance

2015-01-12 Thread chris snow
ve to the number of polygons and should > improve for the posterized image. > > Hopefully Frank will weigh in where I've gotten it wrong or missed > something. > > > On 1/11/2015 10:11 AM, chris snow wrote: > > I have been informed by a colleague attempting to convert

[gdal-dev] gdal_polygonize.py TIF to JSON performance

2015-01-11 Thread chris snow
I have been informed by a colleague attempting to convert a 1.4GB TIF file using gdal_polygonize.py on a g2.2xlarge Amazon instance (8 vCPU, 15gb RAM) that the processing took over 2 weeks running constantly. I have also been told that the same conversion using commercial tooling was completed in