parallel-convolution | ️ Parallel Image Convolution , applying a blur filter | GPU library

by jimouris C Version: Current License: MIT

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kandi X-RAY | parallel-convolution Summary

parallel-convolution is a C library typically used in Hardware, GPU applications. parallel-convolution has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.

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parallel-convolution has a low active ecosystem.

It has 18 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 105 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of parallel-convolution is current.

Quality

parallel-convolution has 0 bugs and 0 code smells.

Security

parallel-convolution has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

parallel-convolution code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

parallel-convolution is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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parallel-convolution releases are not available. You will need to build from source code and install.

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parallel-convolution Key Features

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Community Discussions

Trending Discussions on parallel-convolution

How to combine two pretrained models in keras?

QUESTION

How to combine two pretrained models in keras?

Asked 2019-Nov-07 at 15:43

I would like to combine two pretrained models(DenseNet169 and InceptionV3) or it could be any two. Followed the steps from the following link, but did not work. Did try both concatenate and Concatenate, still getting error. I might have made some mistakes somewhere. This is my first stackoverflow question and help would be greatly appreciated. https://datascience.stackexchange.com/questions/39407/how-to-make-two-parallel-convolutional-neural-networks-in-keras First case: I tried with NO pooling

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ANSWER

Answered 2019-Oct-24 at 02:05

Second Case: Since your model expects two inputs, your data_generator_train and data_generator_val should return/yield a list of two inputs for corresponding models and output. You can achieve that by updating the return value of __data_generation method

Source https://stackoverflow.com/questions/58513916

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

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