DCNv2 | Deformable Convolutional Networks v2 with Pytorch | Machine Learning library
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
Deformable Convolutional Networks v2 with Pytorch
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Quality
Security
License
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Support
DCNv2 has a medium active ecosystem.
It has 1191 star(s) with 379 fork(s). There are 24 watchers for this library.
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
Quality
DCNv2 has no bugs reported.
Security
DCNv2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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.
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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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DCNv2
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DCNv2
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 09:46You should try setting your CUDA_HOME variable in your dockerfile like this :
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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