Пакет: python3-gtsam (4.2.0+dfsg-1)

[ Източник: gtsam  ]

Factor graphs for sensor fusion in robotics

GTSAM is a C++ library that implements sensor fusion for robotics and computer vision applications, including SLAM (Simultaneous Localization and Mapping), VO (Visual Odometry), and SFM (Structure from Motion). It uses factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices to optimize for the most probable configuration or an optimal plan. Coupled with a capable sensor front-end (not provided here), GTSAM powers many impressive autonomous systems, in both academia and industry.

Python library

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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
amd64	5 755,6 кБ	45 638,0 кБ	[списък на файловете]
arm64	5 491,4 кБ	49 730,0 кБ	[списък на файловете]
m68k (неофициална архитектура)	5 626,5 кБ	42 345,0 кБ	[списък на файловете]
ppc64 (неофициална архитектура)	6 670,9 кБ	83 266,0 кБ	[списък на файловете]
ppc64el	6 350,4 кБ	64 583,0 кБ	[списък на файловете]
riscv64	6 256,5 кБ	47 742,0 кБ	[списък на файловете]
s390x	5 404,2 кБ	61 066,0 кБ	[списък на файловете]
sh4 (неофициална архитектура)	6 349,7 кБ	63 289,0 кБ	[списък на файловете]
sparc64 (неофициална архитектура)	5 019,9 кБ	52 728,0 кБ	[списък на файловете]