I took an extract of a sample PHR demo product. In order to compare
results, you should rather use the data in OTB-Data/Classification. You
will find both the input image, the polygons for the training data.
There are nightly tests running on these datasets, the expected outputs
are in the Baseline section. For more details :
http://hg.orfeo-toolbox.org/OTB/file/d9de9b7f9674/Testing/Applications/Classification/CMakeLists.txt
In this file you can find the parameters used on the
*TrainImagesClassifier *application, as well as the path to the baseline
data.
Regards,
Guillaume
Le 12/12/2014 03:56, dcd a écrit :
Thanks Guillaume - Would it be possible to get the raster image and
the training data? Is it something from the OTB-Data directory? If so,
which files exactly?
If I have the same data, I can then try to run the same classification
in R, and then compare the model outputs of both OTB/OpenCV and R.
On Thursday, 11 December 2014 12:56:21 UTC-5, Guillaume Pasero wrote:
If you want to have a look to the models generated by OTB, I have
run the application *TrainImagesClassifier* on a simple case (5
classes, input image is a Pleiades XS extract).
I have attached the different output files obtained after training
for different classifiers coming from OpenCV.
I am not familiar with this type of format, but I guess it can be
translated.
Regards,
Guillaume
Le 11/12/2014 17:13, dcd a écrit :
Merci Guiallaume,
It looks like the OpenCV saves models in XML or YAML format. In
R, I believe there's a way to translate models built in R to
PMML, which should make it possible to save into XML or YAML. So,
in terms of the file format, it seems possible to communicate
between the two applications.
However, the point I think you're alluding to, is how to figure
out the actual differences in the model formats written by OpenCV
and R.
Perhaps I can take a look and compare the output from R (model ->
PMML -> XML/YAML) with one generated by OTB? Do you know where
OTB save it's model files?
I'm sure this will be much more complicated, but it would be such
a TREMENDOUS feature: the power of R with OTB would be pretty
much the best thing ever for remote sensing image processing.
On Thursday, 11 December 2014 03:58:20 UTC-5, Guillaume Pasero
wrote:
Hi,
I think this feature isn't so far away. At the moment, in OTB
classification framework, once we have trained a model, it is
saved in a text file. The classifier called next opens the
file, load the corresponding model, and use it.
Thanks to OpenCV, we support different classifier model (such
as RF). The export format of the model is defined by OpenCV.
It means that if you manage to store your model using the
right format, it can be imported and used in OTB.
You can check here :
http://docs.opencv.org/modules/ml/doc/random_trees.html?highlight=rtrees#cvrtrees
<http://docs.opencv.org/modules/ml/doc/random_trees.html?highlight=rtrees#cvrtrees>
http://docs.opencv.org/modules/ml/doc/statistical_models.html
<http://docs.opencv.org/modules/ml/doc/statistical_models.html>
Regards,
Guillaume
Le 11/12/2014 04:55, dcd a écrit :
I'm back and using OTB again and I was wondering if there's
a way to use models developed in R, with their counterpart
classifier in OTB? In other words, if I've trained a RF
model in R, is there some way to export that model to OTB's
RF classifier?
I'm guessing it's not possible (yet), but it would be a
killer feature as it would provide the best of two worlds:
OTB's raw processing power and speed with R's sophisticated
model building abilities.
I'm not sure how the best way would be to go about doing
this, but the following links might be of interest:
Export RF model to SQL
https://gist.github.com/shanebutler/96f0e78a02c84cdcf558
<https://gist.github.com/shanebutler/96f0e78a02c84cdcf558>
Random Forest: PMML Export and ADAPA Support
https://support.zementis.com/entries/21214261-Random-Forest-PMML-Export-and-ADAPA-Support
<https://support.zementis.com/entries/21214261-Random-Forest-PMML-Export-and-ADAPA-Support>
Cheers,
Dennis
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