caffe-faster-rcnn-cpp-windows | faster rcnn c version for windows branch

by giddyyupp C++ Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | caffe-faster-rcnn-cpp-windows Summary

caffe-faster-rcnn-cpp-windows is a C++ library. caffe-faster-rcnn-cpp-windows has no bugs, it has no vulnerabilities and it has low support. However caffe-faster-rcnn-cpp-windows has a Non-SPDX License. You can download it from GitHub.

faster rcnn c++ version for windows branch

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Support

caffe-faster-rcnn-cpp-windows has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 31 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of caffe-faster-rcnn-cpp-windows is current.

Quality

caffe-faster-rcnn-cpp-windows has no bugs reported.

Security

caffe-faster-rcnn-cpp-windows has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

caffe-faster-rcnn-cpp-windows has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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caffe-faster-rcnn-cpp-windows releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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caffe-faster-rcnn-cpp-windows Key Features

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caffe-faster-rcnn-cpp-windows Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install caffe-faster-rcnn-cpp-windows

Prebuilt binaries can be downloaded from the latest CI build on appveyor for the following configurations:.
Visual Studio 2015, CPU only, Python 3.5: Caffe Release, ~~Caffe Debug~~
Visual Studio 2015, CUDA 8.0, Python 3.5: Caffe Release
Visual Studio 2015, CPU only, Python 2.7: Caffe Release, Caffe Debug
Visual Studio 2015,CUDA 8.0, Python 2.7: Caffe Release
Visual Studio 2013, CPU only, Python 2.7: Caffe Release, Caffe Debug
By default CMake will download and extract prebuilt dependencies for your compiler and python version. It will create a folder called libraries containing all the required dependencies inside your build folder. Alternatively you can build them yourself by following the instructions in the caffe-builder README.

Support

Should you encounter any error please post the output of the above commands by redirecting the output to a file and open a topic on the caffe-users list mailing list.

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