Binary package “libdlib-data” in ubuntu noble
C++ toolkit for machine learning and computer vision - models
Dlib is a general purpose cross-platform open source software library written
in the C++ programming language. It now contains software components for
dealing with networking, threads, graphical interfaces, complex data
structures, linear algebra, statistical machine learning, image processing,
data mining, XML and text parsing, numerical optimization, Bayesian networks,
and numerous other tasks.
.
This package contains the trained models provided with dlib.
Source package
Published versions
- libdlib-data 19.24+dfsg-1 in amd64 (Release)
- libdlib-data 19.24+dfsg-1 in amd64 (Updates)
- libdlib-data 19.24+dfsg-1.1build1 in amd64 (Proposed)
- libdlib-data 19.24+dfsg-1.1build1 in amd64 (Release)
- libdlib-data 19.24+dfsg-1 in arm64 (Release)
- libdlib-data 19.24+dfsg-1 in arm64 (Updates)
- libdlib-data 19.24+dfsg-1.1build1 in arm64 (Proposed)
- libdlib-data 19.24+dfsg-1.1build1 in arm64 (Release)
- libdlib-data 19.24+dfsg-1 in armhf (Release)
- libdlib-data 19.24+dfsg-1 in armhf (Updates)
- libdlib-data 19.24+dfsg-1.1build1 in armhf (Proposed)
- libdlib-data 19.24+dfsg-1.1build1 in armhf (Release)
- libdlib-data 19.24+dfsg-1 in i386 (Release)
- libdlib-data 19.24+dfsg-1 in i386 (Updates)
- libdlib-data 19.24+dfsg-1.1build1 in i386 (Proposed)
- libdlib-data 19.24+dfsg-1.1build1 in i386 (Release)
- libdlib-data 19.24+dfsg-1 in ppc64el (Release)
- libdlib-data 19.24+dfsg-1 in ppc64el (Updates)
- libdlib-data 19.24+dfsg-1.1build1 in ppc64el (Proposed)
- libdlib-data 19.24+dfsg-1.1build1 in ppc64el (Release)
- libdlib-data 19.24+dfsg-1 in riscv64 (Release)
- libdlib-data 19.24+dfsg-1 in riscv64 (Updates)
- libdlib-data 19.24+dfsg-1.1build1 in riscv64 (Proposed)
- libdlib-data 19.24+dfsg-1.1build1 in riscv64 (Release)
- libdlib-data 19.24+dfsg-1 in s390x (Release)
- libdlib-data 19.24+dfsg-1 in s390x (Updates)
- libdlib-data 19.24+dfsg-1.1build1 in s390x (Proposed)
- libdlib-data 19.24+dfsg-1.1build1 in s390x (Release)