Current status

ncnn High-performance neural network inference framework

20200226 science =0 20200226Version of this port present on the latest quarterly branch.

Maintainer: yuri@FreeBSD.org

Port Added: 2019-07-20 21:57:54

Last Update: 2020-04-14 16:30:20

SVN Revision: 531698

License: BSD3CLAUSE

Description:

ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply concerned about its deployment and use on mobile phones from the beginning of its design. ncnn does not have third party dependencies. It is cross-platform, and runs faster than all known open-source frameworks on mobile phone CPUs. Developers can easily deploy deep learning algorithm models to mobile platforms by using the efficient ncnn implementation. They can create intelligent apps, and bring the artificial intelligence to your fingertips. ncnn is currently being used in many Tencent applications, such as QQ, Qzone, WeChat, Pitu and so on. WWW: https://github.com/Tencent/ncnn

SVNWeb : Homepage

pkg-plist: as obtained via: make generate-plist

Expand this list (25 items)

Collapse this list.

1. /usr/local/share/licenses/ncnn-20200226/catalog.mk
2. /usr/local/share/licenses/ncnn-20200226/LICENSE
3. /usr/local/share/licenses/ncnn-20200226/BSD3CLAUSE
4. include/ncnn/allocator.h
5. include/ncnn/benchmark.h
6. include/ncnn/blob.h
7. include/ncnn/command.h
8. include/ncnn/cpu.h
9. include/ncnn/datareader.h
10. include/ncnn/gpu.h
11. include/ncnn/layer.h
12. include/ncnn/layer_type.h
13. include/ncnn/layer_type_enum.h
14. include/ncnn/mat.h
15. include/ncnn/modelbin.h
16. include/ncnn/net.h
17. include/ncnn/opencv.h
18. include/ncnn/option.h
19. include/ncnn/paramdict.h
20. include/ncnn/pipeline.h
21. include/ncnn/platform.h
22. lib/cmake/ncnn/ncnn-release.cmake
23. lib/cmake/ncnn/ncnn.cmake
24. lib/cmake/ncnn/ncnnConfig.cmake
25. lib/libncnn.a

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Dependency lines:

• ncnn>0:science/ncnn

No installation instructions: this port has been deleted.

The package name of this deleted port was:

PKGNAME: ncnn

Flavors: there is no flavor information for this port.

distinfo:

TIMESTAMP = 1582953414 SHA256 (Tencent-ncnn-20200226_GH0.tar.gz) = 02acb078e67ee98b00631318398b8444023321c6b2fd257f3dce93c7fd2387d1 SIZE (Tencent-ncnn-20200226_GH0.tar.gz) = 10363010

Packages: (move your mouse over the cells for more information)

No package information in database for this port.

Dependencies

NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:

1. glslangValidator : devel/glslang
2. vulkan.h : devel/vulkan-headers
3. libvulkan.so : graphics/vulkan-loader
4. cmake : devel/cmake
5. ninja : devel/ninja

There are no ports dependent upon this port

Configuration Options

===> The following configuration options are available for ncnn-20200226: VULKAN=on: Vulkan compute support ===> Use 'make config' to modify these settings

USES:

cmake compiler:c11

Master Sites:

Expand this list (1 items)

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1. https://codeload.github.com/Tencent/ncnn/tar.gz/20200226?dummy=/

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• port moved to misc/ncnn on 2020-04-14
  REASON: Move to misc/ because ncnn isn't related to science
  

science/ncnn: Move to misc/ncnn; Update 20200226 -> 20200413

Reported by:	portscout (update)

science/ncnn: Update 20200106 -> 20200226

Reported by:	portscout

science/ncnn: Update 20191223 -> 20200106

Reported by:	portscout

science/ncnn: Update 20191113 -> 20191223

Reported by:	portscout

science/ncnn: Update 20190908 -> 20191113

Reported by:	portscout

science/ncnn: enable Vulkan support

Required by graphics/waifu2x-ncnn-vulkan

PR:		241114
Approved by:	yuri (maintainer)

science/ncnn: 20190611-113 -> 20190908

science/ncnn: Update 20190611-40-gd3be711 -> 20190611-113-g46e7ac7

PR:		240187
Suggested by:	jbeich

science/ncnn: fix build with GCC-based architectures

This adds USES=compiler:c11 because of:
/usr/local/poudriere/ports/default/science/ncnn/work/ncnn-20190611-40-gd3be711/src/layer/convolutiondepthwise.cpp:450:
error: expected '#pragma omp' clause before 'collapse'

It's detected that our base compiler supports OpenMP and new OpenMP features are
then used.

That's why we need new GCC. USES=compiler:openmp would work but it uses a base
compiler. Since this port builds also without OpenMP, no further modifications
are needed.

Approved by:	mentors (implicit approval)

science/ncnn: Fix grammar and spelling in pkg-descr

New port: science/ncnn: High-performance neural network inference framework

12 vulnerabilities affecting 72 ports have been reported in the past 14 days

^* - modified, not new

All vulnerabilities

Last updated:
2021-03-28 22:40:29