Le mercredi 03 août 2011 20:28:35, Jay L. a écrit :
> Evan,
>
> To ensure that i understand here is an example:
>
> If I have a GTiff, where the block size is one row by all of the columns
> (a single scanline), I should try to read in either one scanline at a
> time, or multiple entire scanline
Evan,
To ensure that i understand here is an example:
If I have a GTiff, where the block size is one row by all of the columns (a
single scanline), I should try to read in either one scanline at a time, or
multiple entire scanlines. It is inefficient to take say 10 rows and only
half of the col
Le mercredi 03 août 2011 17:32:53, Antonio Valentino a écrit :
> Hi Jay,
>
> Il 03/08/2011 16:53, Jay L. ha scritto:
> > I have been working on this problem as well. Initially, the attempt was
> > to ReadAsArray small chunks. Unfortunately this is quite inefficient.
> > Someone more knowledgeab
Hi
2011/8/3 Antonio Valentino :
> In my experience using too large chunks of memory can cause,
> paradoxically, slowdowns.
> My suggestion is to define a reasonable maximum size for arrays in your
> application/library and switch to the "fallback algorithm for large
> rasters" every time that MAX_
Le mercredi 03 août 2011 15:35:22, Alexander Bruy a écrit :
> Hi,
>
> There is a well-know "problem": reading really large rasters or bands
> into memory with DataSource.ReadAsArray() method impossible due
> memory limitations. For example, when I try to read one band with
> size 53109x29049 I get
Hi Jay,
Il 03/08/2011 16:53, Jay L. ha scritto:
> I have been working on this problem as well. Initially, the attempt was to
> ReadAsArray small chunks. Unfortunately this is quite inefficient. Someone
> more knowledgeable will know why, but I suspect it has to do with either
> thrashing or the
I have been working on this problem as well. Initially, the attempt was to
ReadAsArray small chunks. Unfortunately this is quite inefficient. Someone
more knowledgeable will know why, but I suspect it has to do with either
thrashing or the fact that full blocks are not being read in (as is the c
Hi Alexander,
Il 03/08/2011 15:35, Alexander Bruy ha scritto:
> Hi,
>
> There is a well-know "problem": reading really large rasters or bands
> into memory with DataSource.ReadAsArray() method impossible due
> memory limitations. For example, when I try to read one band with
> size 53109x29049 I
Hi,
There is a well-know "problem": reading really large rasters or bands
into memory with DataSource.ReadAsArray() method impossible due
memory limitations. For example, when I try to read one band with
size 53109x29049 I get error:
File "C:\OSGeo4W\apps\Python25\lib\site-packages\osgeo\gdal.py"
