[Radiance-general] ra_gif: out of memory error

[Greg Ward]

Well, I think the neural network needs at least 300 pixel samples to do its work, meaning that the total number of pixels divided by the -n option must be at least 300.  Even with -n 1, it can fail if you only give it an image that's a couple of hundred pixels in size.  I don't think the other converters are so constrained.  You could use ra_bmp which does tone-mapping also, or ra_t8 if you really want an 8-bit image.

Best,
-Greg

> From: Marija Velickovic <maricanis at gmail.com>
> Date: May 17, 2012 1:26:01 AM PDT
> 
> Thanks Greg,
> 
> In fact for input Radiance model I generate automatically big number of images in my program, and can't say in advance what would be the size of any image.
> -n 1 is definitely the safest solution (although in my case also calculation time is important - since numerous images).
> 
> Thanks for answer anyway, because it is now clear why I get error messages.
> 
> Marija
> 
> On Wed, May 16, 2012 at 7:59 PM, Greg Ward <gregoryjward at gmail.com> wrote:
> The -n option of ra_gif is just to save time on large images by subsampling the input pixels.  For small images, setting -n 1 should produce the best results, so there's no reason to set the option higher.  If you don't have enough samples, the neural network color quantizer doesn't have enough information and I guess it loses its mind...
> 
> -Greg
> 
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