sorderender | De-rendering the World 's Revolutionary Artefacts

by elliottwu Python Version: Current License: MIT

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

kandi X-RAY | sorderender Summary

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

[CVPR2021] De-rendering the World's Revolutionary Artefacts

Support

Quality

Security

License

Reuse

Support

sorderender has a low active ecosystem.

It has 49 star(s) with 11 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 3 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 sorderender is current.

Quality

sorderender has no bugs reported.

Security

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

License

sorderender is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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

Installation instructions, examples and code snippets are available.

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sorderender Key Features

No Key Features are available at this moment for sorderender.

sorderender Examples and Code Snippets

No Code Snippets are available at this moment for sorderender.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install sorderender

Note: The code is tested with PyTorch 1.4.0 and CUDA 10.1. A GPU version is required, as the neural_renderer package only has a GPU implementation.
This package is required for training and testing, and optional for the demo. It requires a GPU device and GPU-enabled PyTorch. Note: If this fails or runtime error occurs, try compiling it from source. If you don't have a gcc>=5, you could one available on conda: conda install gxx_linux-64=7.3.

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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