conv-neural-network | A C Convolution Neural Network Library | Machine Learning library

by zen747 C++ Version: Current License: Apache-2.0

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kandi X-RAY | conv-neural-network Summary

conv-neural-network is a C++ library typically used in Artificial Intelligence, Machine Learning applications. conv-neural-network has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A C++ Convolution Neural Network Library

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conv-neural-network has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

conv-neural-network has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of conv-neural-network is current.

Quality

conv-neural-network has 0 bugs and 0 code smells.

Security

conv-neural-network has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

conv-neural-network code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

conv-neural-network is licensed under the Apache-2.0 License. This license is Permissive.

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

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conv-neural-network releases are not available. You will need to build from source code and install.

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Community Discussions

Trending Discussions on conv-neural-network

How do I remove rain streaks form a rainy image

QUESTION

How do I remove rain streaks form a rainy image

Asked 2020-Feb-03 at 10:15

I am working under a professor, and I recently studied Conv-neural-networks and Generative adversarial Networks and was able to implement basic python codes on these topics using the MNIST dataset. Now I am given an assignment to try and remove rain streaks from rainy images. I read a paper where they used Auto-encoders and GAN's to do that, but I don't know what to do and how to proceed. I have 1000 clean images and 14000 rainy images 14 of each clean ones. I got this dataset from github and I also have some images of only rain streaks.I am fairly new to CNN's and GAN's and I don't even know if this is an easy task or a complex one just for me. But I am very confused. Can anyone suggest some things?

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ANSWER

Answered 2020-Feb-03 at 10:15

You can solve this problem using image to image translation methods.

If you have paired images (clean image, and the corresponding rainy image), you can use some paired approaches like Pix2Pix (paper + github: link). The github implementation is easy to adapt to you case, just put your images in the corresponding folders, and lunch the training.
If you don't have paired images, but images in the two domains (clear images, and rainy images), use an unsupervised image to image translation. CycleGan is a good architecture and it works very well (link). The implementation is easy to use also.

NB: In all the cases, you will need a GPU for training the models!

Source https://stackoverflow.com/questions/60036961

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