64-bit windows orfeo toolbox 6.6.0. I launched it from GUI, not from 
command line. I will try tomorrow again and save a log, although I was 
thinking on trying to compile in linux.

On Sunday, September 9, 2018 at 5:23:19 PM UTC+2, Rémi wrote:
>
> Hello Gus,
>
> To investigate a bit I would like to know if you can copy/paste:
> -your command line
> -the full log
> (In a text file, or on pastebin)
>
> What version of OTB, and what OS do you have?
> Thanks,
>
> Rémi
>
> Le samedi 8 septembre 2018 18:07:56 UTC+2, Gus a écrit :
>>
>> Thanks, Rémi
>>
>> Your method works fairly well, the results are really good and visually 
>> pleasant. In fact, I was able to use you app (from gui) for small subsets 
>> of my data, which is a set of aerial pictures of the sea surface from which 
>> the sunglint has been removed.
>>
>> [image: 2dc4d9d7-25da-4254-9cb5-31536801f461.jpg][image: 
>> 54ed0802-e492-438f-9f4d-8dea3593a2b6.jpg]
>>
>> But, when I feed your program with the complete set (about 2500 pictures, 
>> 30 Mb each approximately, 8 bit colour) it fails. Last thing I can check is 
>> that the temporary distance maps have been correctly written, and that's 
>> the last console output. while if Iskip the large feathering step, it seems 
>> to work ok, as in next image using slim blending mode, but as for large 
>> blending, it fails...
>>
>> [image: sea_1PNG.PNG]
>>
>> On Saturday, September 8, 2018 at 10:57:53 AM UTC+2, Rémi wrote:
>>>
>>> Hello Gus,
>>>
>>> The RAM parameter deals only with the memory footprint during mosaic 
>>> compositing and statistics computation, both streamable pipelines (no 
>>> limitation on images size).
>>> However, the distance map calculation (which is a temporary file, then 
>>> used as an input of the streamed mosaicing compositing pipeline, just for 
>>> feathering) is not a streamable process. Meaning that, for each input image 
>>> to mosaic, the distance map will theoretically require the full image in 
>>> memory to be processed. That's why there is the distancemap.sr 
>>> (sampling ratio) parameter. This enables the subsampling of the input 
>>> image, to compute the distance map with a smaller footprint. See README.md, 
>>> section "Performance tuning: Distance map images sampling ratio".
>>> This is a current limitation of the application, I will add this 
>>> explicitly in the application description.
>>>
>>> Your problem could also come from the fact that your input images have 
>>> not the same projection reference (and leading to a near infinite image, 
>>> e.g. if you mix degrees and meters units, or with wrong coordinate 
>>> reference system), check this. 
>>>
>>> Hope that helps,
>>>
>>> Rémi
>>>
>>> Le vendredi 7 septembre 2018 01:44:23 UTC+2, Gus a écrit :
>>>>
>>>>
>>>> Hello everyone.
>>>>
>>>> I don't clearly understand the process followed by the remote module 
>>>> "mosaic". The memory occupied during some phase after distance maps 
>>>> calculation for large blending with lab color space harmonization grows a 
>>>> lot, so I obtain a huge page file and my computer reboots. I checked the 
>>>> paper and peeked into the code a bit, but I'm not familiar with the 
>>>> libraries. Is there any way of estimating the ram needed for the process? 
>>>> Is there a way of overcoming this issue? (probably I will process it in 
>>>> chunks anyway but that would simplify things quite a lot).
>>>>
>>>> Cheers
>>>>
>>>> Gus
>>>>
>>>

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