relightingNet | This is the implementation of the paper

by YeeU Python Version: Current License: Apache-2.0

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

kandi X-RAY | relightingNet Summary

relightingNet is a Python library. relightingNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However relightingNet build file is not available. You can download it from GitHub.

This is the implementation of the paper "Self-supervised Outdoor Scene Relighting". The model is implemented in tensorflow.

Support

Quality

Security

License

Reuse

Support

relightingNet has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of relightingNet is current.

Quality

relightingNet has no bugs reported.

Security

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

License

relightingNet 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.

Reuse

relightingNet releases are not available. You will need to build from source code and install.

relightingNet has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed relightingNet and discovered the below as its top functions. This is intended to give you an instant insight into relightingNet implemented functionality, and help decide if they suit your requirements.

Generate a sklearn_generator
A fully connected layer
Resblock resblock
Compute spade
Main rendering function
Group a tensor
2D convolution layer
Load a segmap image
Get one - hot encoding for the given targets
Convert from color segmentation
Partially a partial convolution
Calculate the spectral norm
Calculate the illu decomposition
Computes the pinv
Discriminator layer
Image convolutional convolution
Load training data
Read an image file
Compute the loss of a feature loss
Test for image processing
Return a weight factor factor
Calculate the gradient of the regular expression
Load a style image image
Performs image processing
A shadow generator
Load test data

Get all kandi verified functions for this library.

relightingNet Key Features

No Key Features are available at this moment for relightingNet.

relightingNet Examples and Code Snippets

No Code Snippets are available at this moment for relightingNet.

Community Discussions

No Community Discussions are available at this moment for relightingNet.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install relightingNet

You can download it from GitHub.
You can use relightingNet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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