|
 |
Thank you Reuben !
Yes any big company in computer science launches its own version of this kind of
service nowadays. But that's really as easy and efficient as they pretend...
Pascal
Reuben Pearse <reu### [at] gmail com> wrote:
> On 27/01/2019 06:43, BayashiPascal wrote:
> > Hi everyone,
> >
> > I came up a few days ago with some (maybe?) unconventional way to use POV-Ray
> > for my job and would like to introduce it here in case it would be of any
> > interest to someone else.
> > I was looking for data sets of images to test machine learning algorithms and
> > couldn't find any one that fit my needs. Then I started thinking of how I could
> > generate automatically my own data sets. Of course, speaking of synthesis
> > picture, I immediately thought of POV-Ray, and it worked perfectly for me.
> > The problem here is not that much the generation of the image itself, but the
> > generation of its mask. For example, in the example pictures below, the target
> > is the cube, so I needed to generate automatically the image of the cube *and*
> > its duplicate where every pixels matching the cube are black and all the others
> > are white. I found that I could achieve this using the two textures below, one
> > for the target, and one for everything else.
> >
> > #declare _texMaskTarget = texture {
> > pigment { color Black }
> > finish { ambient 0 }
> > }
> > #declare _texMaskNonTarget = texture {
> > pigment { color White }
> > finish { ambient 1 diffuse 100 }
> > }
> >
> > Crafting the scene to my needs, adding randomness on the desired variable
> > components of the scene, using the clock variable as the seed for the random
> > generator, wrapping that in a Python script which generates and executes an INI
> > file including the directive Declare=Mask=0 to switch between the normal texture
> > and the mask texture, and I had a very handy tool to generate in minutes a data
> > set of hundred of samples crafted to match perfectly any needed test case.
> >
> > If anyone has a better idea than my trick with the textures to generate the mask
> > I would be glad to hear it.
> >
> > For those interested, everything is available on GitHub here:
> > https://github.com/BayashiPascal/SDSIA
> >
> >
>
> This looks fascinating - what a good way to use POVray!
>
> Saw a great demo of Microsoft's Custom Vision AI services the other day.
> More more info here:
> https://www.customvision.ai/
Post a reply to this message
|
|
