Hi Jerome,
please do not forget to include this package into the relevant Debian
Science tasks. As explained previously this makes sense even if the
package is not yet uploaded but hit VCS (provided you are using Debian
Science VCS - if not please tell me where it is otherwise).
Kind regards
Andreas.
On Fri, Jun 07, 2013 at 10:24:36PM +0200, Jerome Kieffer wrote:
> Package: wnpp
> Severity: wishlist
> Owner: Jerome Kieffer <jerome.kief...@esrf.fr>
>
> Package name : pyhst
> Version : 2.0.
> Upstream Author : Alessandro Mirone <mir...@esrf.fr>
> URL : https://forge.epn-campus.eu/projects/pyhst2
> License : GPL
> Programming Lang: C, Python, CUDA
> Description : High Speed Tomographic reconstruction controled from
> Python
> The PyHST2 code is in service at ESRF for phase-contrast and absorption
> tomography. This code has been engineered to sustain the high data flow
> typical
> of the third generation synchrotron facilities by adopting a distributed and
> pipelined architecture. The code implements, beside a default filtered
> backprojection reconstruction, iterative reconstruction techniques with
> a-priori knowledge. These latter are used to improve the reconstruction
> quality
> or in order to reduce the required data volume and reach a given quality goal.
> The implemented a-priori knowledge techniques are based on the total variation
> penalisation and a new recently found convex functional which is based on
> overlapping patches.
>
>
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