Hi Rashad, thanks again.
Where can I find documentation about naming conventions of baselines
filename?

2015-08-13 15:30 GMT+02:00 Rashad M <[email protected]>:

>
>
> On Thu, Aug 13, 2015 at 1:01 PM, Rémi Cresson <[email protected]> wrote:
>
>> I've commited the changes.
>> -fix doxygen in headers
>> -test now run using otb-data input (but validation data needs to exist
>> somewhere... I keep one test result in "test" directory)
>> I removed images from my git. However I guess ideal tests must be ran on
>> special data (I need partly overlapping images, better if they are RGB or
>> multispectral. I checked in otb-data but I didn't find this kind of data)
>>
>
> In that case, your images should be added to OTB-Data
>
> OTB-Data/Input
> OTB-Data/Baselines/OTB/Images/
>
> Note that in OTB-Data baselines filenames for the test have a naming
> convention.
> Have a at look here:
> https://git.orfeo-toolbox.org/otb-data.git/tree/HEAD:/Baseline/OTB/Images
>
>
>
>
>> 2015-08-13 12:34 GMT+02:00 Rashad M <[email protected]>:
>>
>>>
>>>
>>> On Thu, Aug 13, 2015 at 12:15 PM, Rémi Cresson <[email protected]>
>>> wrote:
>>>
>>>> Thank you, I've modified the headers (It seems like I can add some
>>>> latek?).
>>>> should I left the test validation data into the "test" directory?
>>>>
>>>
>>> you can test with some exisiting data on otb-data repo and remove images
>>> from your git. This is unless your data is special for your module.
>>>
>>> Also fix the errors in argument names for test
>>> https://github.com/remicres/otb-mosaic/blob/master/test/CMakeLists.txt#L5
>>>
>>>
>>>> many thanks
>>>>
>>>> 2015-08-13 10:48 GMT+02:00 Rashad M <[email protected]>:
>>>>
>>>>> you need add only to filters and not applications.
>>>>>
>>>>> see example,
>>>>> https://github.com/jmichel-otb/GKSVM/blob/master/include/otbChangeProfileKernelFunctor.h#L44
>>>>>
>>>>>
>>>>>
>>>>> On Thu, Aug 13, 2015 at 10:38 AM, Rémi Cresson <[email protected]>
>>>>> wrote:
>>>>>
>>>>>> Thank you Rashad,
>>>>>>
>>>>>> I am trying to use otb baseline in the (fixed) new test.
>>>>>> About doxygen, I will look into existing otb code to mimic. Do you
>>>>>> mean I must add the \ingroup to each filters, app, or both?
>>>>>>
>>>>>>
>>>>>>
>>>>>> 2015-08-13 9:59 GMT+02:00 Rashad M <[email protected]>:
>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Wed, Aug 12, 2015 at 7:58 PM, Rémi Cresson <[email protected]>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Hello Rashad,
>>>>>>>>
>>>>>>>> Thank you for testing it.
>>>>>>>> I made the changes you suggest, except I put sources in include
>>>>>>>> folder (instead of src).
>>>>>>>>
>>>>>>>
>>>>>>> yes that is correct. it was my bad mentioning src if you dont have
>>>>>>> .cxx in library
>>>>>>>
>>>>>>>
>>>>>>>> I had to read the dashboard output, because it compiled fine on my
>>>>>>>> system without any error...
>>>>>>>>
>>>>>>>
>>>>>>> I have the new build without errors. But however tests are failing.
>>>>>>> But that can be fixed easily. Have a look at -
>>>>>>>
>>>>>>> http://dash.orfeo-toolbox.org/testDetails.php?test=32229576&build=195008
>>>>>>>
>>>>>>> For doxygen, it is required to mention the ingroup in the header as
>>>>>>> doxygen comments.
>>>>>>>
>>>>>>>
>>>>>>> Dasboard submission:
>>>>>>>
>>>>>>> http://dash.orfeo-toolbox.org/testDetails.php?test=32229575&build=195008
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> you have test images which is now in test folder. But usually OTB
>>>>>>> keeps all baseline and example data in OTB-Data repository.
>>>>>>>  So if you could run the test on some images already existing in
>>>>>>> OTB-Data, I think that would be nice. Also I am not sure about adding 
>>>>>>> new
>>>>>>> baseline for remote modules which are not official yet.
>>>>>>>
>>>>>>> OTB-Data -https://git.orfeo-toolbox.org/otb-data.git
>>>>>>>
>>>>>>>>
>>>>>>>> Waiting for your feedback !
>>>>>>>>
>>>>>>>> Rémi
>>>>>>>>
>>>>>>>>
>>>>>>>> 2015-08-12 17:15 GMT+02:00 Rashad M <[email protected]>:
>>>>>>>>
>>>>>>>>> Hi,
>>>>>>>>>
>>>>>>>>> On Mon, Aug 10, 2015 at 6:56 PM, remicres <[email protected]>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Hi,
>>>>>>>>>>
>>>>>>>>>> I've just commited a remote module on GitHub wich deals with
>>>>>>>>>> image mosaics generation (
>>>>>>>>>> https://github.com/remicres/otb-mosaic.git).
>>>>>>>>>> Provided are mosaicing filters and one application.
>>>>>>>>>> All filters support streaming. The application performs the
>>>>>>>>>> mosaic generation of multiple images, whith some color/radiometric
>>>>>>>>>> harmonization features, and feathering features (Details are provided
>>>>>>>>>> above*)
>>>>>>>>>>
>>>>>>>>>> I hope that you will try and enjoy it. Keep me updated about
>>>>>>>>>> issues ! Feel free to ask questions, if any.
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>> I tried to setup nightly build for your remote module but didnt
>>>>>>>>> work.
>>>>>>>>>
>>>>>>>>> here is the dasboard output:
>>>>>>>>> http://dash.orfeo-toolbox.org/buildSummary.php?buildid=194873
>>>>>>>>>
>>>>>>>>> From first look,
>>>>>>>>>
>>>>>>>>> you have all code in app folder include .h and .hxx.
>>>>>>>>>
>>>>>>>>> but otb remote module needs:
>>>>>>>>>
>>>>>>>>> all library code in src/*.h *.txx (  .txx is because all other
>>>>>>>>> modules use it that way. you need to confirm with someone else in the 
>>>>>>>>> list)
>>>>>>>>>
>>>>>>>>> all application code in app/
>>>>>>>>>
>>>>>>>>> Also please add a file like the below in your git repo.
>>>>>>>>>
>>>>>>>>> https://github.com/jmichel-otb/GKSVM/blob/master/GKSVM.remote.cmake
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> Cheers,
>>>>>>>>>>
>>>>>>>>>> Rémi
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> * The application:
>>>>>>>>>>
>>>>>>>>>>    - From a given input images list, a mosaic is produced. The
>>>>>>>>>>    pipeline supports streaming, so there is no restriction on images 
>>>>>>>>>> number or
>>>>>>>>>>    size.
>>>>>>>>>>    - It implements a color harmonization method explained on our
>>>>>>>>>>    paper: Cresson R., Saint-Geours N., "Natural Color Satellite
>>>>>>>>>>    Image Mosaicking Using Quadratic Programming in Decorrelated Color
>>>>>>>>>>    Space"IEEE Journal of Selected Topics in Applied Earth 
>>>>>>>>>> Observations and
>>>>>>>>>>    Remote Sensing (Volume:PP ,  Issue: 99) July 2015
>>>>>>>>>>    
>>>>>>>>>> <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7154397&filter%3DAND%28p_IS_Number%3A4609444%29>.
>>>>>>>>>>    In brief, it performs the global colorimetric harmonization of 
>>>>>>>>>> overlapping
>>>>>>>>>>    images in natural colors (i.e. input images must have 3 bands, 
>>>>>>>>>> RGB). You
>>>>>>>>>>    can set the application parameter "-harmo.method" to "rgb" to use 
>>>>>>>>>> this
>>>>>>>>>>    feature. However, the global radiometric harmonization can also be
>>>>>>>>>>    performed on each band individually by setting the application 
>>>>>>>>>> parameter
>>>>>>>>>>    "-harmo.method" to "band" (it can be useful if the color space is 
>>>>>>>>>> not truly
>>>>>>>>>>    RGB like raw Spot6/7, or if you want to perform a kind of 
>>>>>>>>>> radiometric
>>>>>>>>>>    equalized mosaic). Various statistical cost functions can be used 
>>>>>>>>>> (e.g.
>>>>>>>>>>    rmse) to find a correction model (which is linear with zero-y 
>>>>>>>>>> intercept:
>>>>>>>>>>    input images are scaled). We have developed a richer 
>>>>>>>>>> harmonization solver,
>>>>>>>>>>    wich can deal with general linear correction models (i.e. scale, 
>>>>>>>>>> and shift
>>>>>>>>>>    scale of images) but the maths tools brought by VNL were not 
>>>>>>>>>> sufficient,
>>>>>>>>>>    and we had to make use of external libraries to make it work 
>>>>>>>>>> (OOQP,
>>>>>>>>>>    QuadProg++). That is why we brought only simple zero-y intercept 
>>>>>>>>>> (i.e.
>>>>>>>>>>    scale) correction model in this current module. In future 
>>>>>>>>>> release, I think
>>>>>>>>>>    we should propose OOQP based (or QuadProg++ based) solver because 
>>>>>>>>>> it is far
>>>>>>>>>>    more robust than VNL routines (Sometimes VNL's routines throw 
>>>>>>>>>> unexpected
>>>>>>>>>>    errors, obviously coming from numerical instabilities). Waiting 
>>>>>>>>>> what will
>>>>>>>>>>    be the OTB framework for third parties...
>>>>>>>>>>    - As the harmonization method rely of local image statistics,
>>>>>>>>>>    those must be exempt from perturbations (e.g. clouds, ice, brutal 
>>>>>>>>>> landcover
>>>>>>>>>>    change between two images, ...). That's why it is possible to 
>>>>>>>>>> input some
>>>>>>>>>>    vector data to mask valid areas (need one vector data for one 
>>>>>>>>>> input image,
>>>>>>>>>>    in the same order as appearing in input).
>>>>>>>>>>    - It is possible to input some vector data for cutline (need
>>>>>>>>>>    one vector data for one input image, in the same order as 
>>>>>>>>>> appearing in
>>>>>>>>>>    input).
>>>>>>>>>>    - Another cool feature is the feathering/blending of input
>>>>>>>>>>    images, which allows to produce seamless mosaics. The current 
>>>>>>>>>> limitation is
>>>>>>>>>>    that we use a distance map image for each input, computed by
>>>>>>>>>>    itk::DanielssonDistanceMapImageFilter wich is not a streamable 
>>>>>>>>>> filter.
>>>>>>>>>>    That's why the current process first generates all distance map 
>>>>>>>>>> images in
>>>>>>>>>>    temporary .tif files, from resampled input images (the decimation 
>>>>>>>>>> factor
>>>>>>>>>>    can be set using the "-alphamasks.spacing"). Then, the filters 
>>>>>>>>>> use these
>>>>>>>>>>    previously computed distance map images to perform the 
>>>>>>>>>> feathering/blending
>>>>>>>>>>    of the input images. At the moment, 2 feathering methods are 
>>>>>>>>>> implemented
>>>>>>>>>>    (slim: blends the last image over earlier ones in areas of 
>>>>>>>>>> overlap, on a
>>>>>>>>>>    given transition distance / large: blends all images on largests 
>>>>>>>>>> possible
>>>>>>>>>>    overlapping areas)
>>>>>>>>>>
>>>>>>>>>> We tested the application successfully on big images collections:
>>>>>>>>>> RapidEye, France coverage from 2011 (~130 images), Spot6/7, France 
>>>>>>>>>> coverage
>>>>>>>>>> from 2014 (~190 images), both with a reasonable processing time. 
>>>>>>>>>> Processing
>>>>>>>>>> time is o(n) for both mosaic generation and statistics computation
>>>>>>>>>> (n=number of input images pixels). Harmonization problem is solved 
>>>>>>>>>> in o(m)
>>>>>>>>>> with m=number of input images (about some milliseconds for a hundred 
>>>>>>>>>> of
>>>>>>>>>> input images).
>>>>>>>>>>
>>>>>>>>>> The filters:
>>>>>>>>>>
>>>>>>>>>>    - otbStreamingMosaicFilterBase: is the base class of all
>>>>>>>>>>    mosaicing filters
>>>>>>>>>>    - otbStreamingSimpleMosaicFilter: inherits
>>>>>>>>>>    otbStreamingMosaicFilterBase, performs simple mosaics with a 
>>>>>>>>>> simple
>>>>>>>>>>    compositing technique which copies the last image over earlier 
>>>>>>>>>> ones in
>>>>>>>>>>    areas of overlap
>>>>>>>>>>    - otbStreamingStatisticsMosaicFilter: inherits
>>>>>>>>>>    otbStreamingMosaicFilterBase, computes statistics of the input 
>>>>>>>>>> images in
>>>>>>>>>>    each overlapping areas (e.g. mean of image i in overlap j, for 
>>>>>>>>>> all i and j)
>>>>>>>>>>    - otbStreamingMosaicFilterWithBlendingBase: inherits
>>>>>>>>>>    otbStreamingMosaicFilterBase, is the base class for all mosaicing 
>>>>>>>>>> filters
>>>>>>>>>>    which use a distance map image (feathering filters...)
>>>>>>>>>>    - otbStreamingFeatherMosaicFilter: inherits
>>>>>>>>>>    otbStreamingMosaicFilterWithBlendingBase, generates a mosaic with 
>>>>>>>>>> blends
>>>>>>>>>>    the last image over earlier ones in areas of overlap, on a given 
>>>>>>>>>> transition
>>>>>>>>>>    distance
>>>>>>>>>>    - otbStreamingLargeFeatherMosaicFilter: inherits
>>>>>>>>>>    otbStreamingMosaicFilterWithBlendingBase, blends all images on 
>>>>>>>>>> largests
>>>>>>>>>>    possible overlapping areas
>>>>>>>>>>    - otbStreamingMultibandFeatherMosaicFilter: inherits
>>>>>>>>>>    otbStreamingFeatherMosaicFilter, experimental. Multiband blending 
>>>>>>>>>> of input
>>>>>>>>>>    image using the laplacian (see Burt & Adelson "A multiresolution 
>>>>>>>>>> spline
>>>>>>>>>>    with application to image mosaics"). Could use GPU support for 
>>>>>>>>>> gaussian
>>>>>>>>>>    filtering. One need to fix some issues related to side effects 
>>>>>>>>>> (around no
>>>>>>>>>>    data pixels of images).
>>>>>>>>>>    - otbSummingFilter: utility filter which sums input images.
>>>>>>>>>>    - otbQuadraticallyConstrainedSimpleSolver: is the solver used
>>>>>>>>>>    for images color/radiometric harmonization. Works only with zero-y
>>>>>>>>>>    intercept correction models (as explained before).
>>>>>>>>>>
>>>>>>>>>> We try to make sense of this multilevel inheritance, but it might
>>>>>>>>>> be perfectible !
>>>>>>>>>> A possible optimization might be to process every threadedRegion
>>>>>>>>>> by subdividing it in multiple smaller regions, in order to loop only 
>>>>>>>>>> on
>>>>>>>>>> relevant images: an actual drawback is where the threadedRegion is 
>>>>>>>>>> large,
>>>>>>>>>> a lot of input images have to be checked even if they are out of the
>>>>>>>>>> region. Another one might be to pre-compute areas where 
>>>>>>>>>> interpolators can
>>>>>>>>>> work, instead of checking every processed pixel if the current point 
>>>>>>>>>> is
>>>>>>>>>> inside the buffer.
>>>>>>>>>> On excellent upgrade would be to strengthen the architecture, and
>>>>>>>>>> implements those optimizations in a general way (currently, we have 
>>>>>>>>>> to do
>>>>>>>>>> it for each filter... that is why I think this could be better built)
>>>>>>>>>>
>>>>>>>>>> --
>>>>>>>>>> --
>>>>>>>>>> Check the OTB FAQ at
>>>>>>>>>> http://www.orfeo-toolbox.org/FAQ.html
>>>>>>>>>>
>>>>>>>>>> You received this message because you are subscribed to the Google
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>>>>>>>>>> To post to this group, send email to [email protected]
>>>>>>>>>> To unsubscribe from this group, send email to
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>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> Regards,
>>>>>>>>>    Rashad
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> --
>>>>>>>>> Check the OTB FAQ at
>>>>>>>>> http://www.orfeo-toolbox.org/FAQ.html
>>>>>>>>>
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>>>>>>>>>
>>>>>>>>
>>>>>>>> --
>>>>>>>> --
>>>>>>>> Check the OTB FAQ at
>>>>>>>> http://www.orfeo-toolbox.org/FAQ.html
>>>>>>>>
>>>>>>>> You received this message because you are subscribed to the Google
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>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> Regards,
>>>>>>>    Rashad
>>>>>>>
>>>>>>> --
>>>>>>> --
>>>>>>> Check the OTB FAQ at
>>>>>>> http://www.orfeo-toolbox.org/FAQ.html
>>>>>>>
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>>>>>>>
>>>>>>
>>>>>> --
>>>>>> --
>>>>>> Check the OTB FAQ at
>>>>>> http://www.orfeo-toolbox.org/FAQ.html
>>>>>>
>>>>>> You received this message because you are subscribed to the Google
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>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Regards,
>>>>>    Rashad
>>>>>
>>>>> --
>>>>> --
>>>>> Check the OTB FAQ at
>>>>> http://www.orfeo-toolbox.org/FAQ.html
>>>>>
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>>>>
>>>> --
>>>> --
>>>> Check the OTB FAQ at
>>>> http://www.orfeo-toolbox.org/FAQ.html
>>>>
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>>>
>>>
>>>
>>> --
>>> Regards,
>>>    Rashad
>>>
>>> --
>>> --
>>> Check the OTB FAQ at
>>> http://www.orfeo-toolbox.org/FAQ.html
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>>
>> --
>> --
>> Check the OTB FAQ at
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>
>
>
> --
> Regards,
>    Rashad
>
> --
> --
> Check the OTB FAQ at
> http://www.orfeo-toolbox.org/FAQ.html
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