DCNv2 | Deformable Convolutional Networks v2 with Pytorch | Machine Learning library

 by   CharlesShang C++ Version: pytorch_1.0 License: BSD-3-Clause

kandi X-RAY | DCNv2 Summary

kandi X-RAY | DCNv2 Summary

DCNv2 is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. DCNv2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Deformable Convolutional Networks v2 with Pytorch
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              DCNv2 has a medium active ecosystem.
              It has 1191 star(s) with 379 fork(s). There are 24 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 102 open issues and 28 have been closed. On average issues are closed in 82 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of DCNv2 is pytorch_1.0

            kandi-Quality Quality

              DCNv2 has no bugs reported.

            kandi-Security Security

              DCNv2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              DCNv2 is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              DCNv2 releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            DCNv2 Key Features

            No Key Features are available at this moment for DCNv2.

            DCNv2 Examples and Code Snippets

            No Code Snippets are available at this moment for DCNv2.

            Community Discussions

            Trending Discussions on DCNv2

            QUESTION

            How to build YOLACT++ using Docker?
            Asked 2021-May-20 at 14:04

            I have to build yolact++ in docker enviromment (i'm using sagemaker notebook). Like this

            ...

            ANSWER

            Answered 2021-May-18 at 09:46

            You should try setting your CUDA_HOME variable in your dockerfile like this :

            Source https://stackoverflow.com/questions/67570694

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install DCNv2

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/CharlesShang/DCNv2.git

          • CLI

            gh repo clone CharlesShang/DCNv2

          • sshUrl

            git@github.com:CharlesShang/DCNv2.git

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