As I already written verdandi --seam=blend is already using a hard seam as 
first step. Then the already seamed images are used for Poisson blending. 
Here only information from the direct neighbourhood of the seam of the 
first image are used as border condition. So when the differences at the 
seam are too big you will also get smearing with this algorithm - at least 
this is my experience.
You will also get some black smearing when the already mentioned bug 
appears.

Maybe it is better to combine the effort and work on one implementation 
instead of writing 2 different programs.

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