neural-scene-graphs | Neural Scene Graphs , that optimizes multiple radiance fields

by princeton-computational-imaging Python Version: Current License: No License

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kandi X-RAY | neural-scene-graphs Summary

neural-scene-graphs is a Python library. neural-scene-graphs has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Implementation of Neural Scene Graphs, that optimizes multiple radiance fields to represent different objects and a static scene background. Learned representations can be rendered with novel object compositions and views. Original repository forked from the Implementation of "NeRF: Neural Radiance Fields" by Mildenhall et al.: Original NeRF Implementation, original readme.

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neural-scene-graphs has a low active ecosystem.

It has 189 star(s) with 28 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 8 have been closed. On average issues are closed in 45 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of neural-scene-graphs is current.

Quality

neural-scene-graphs has no bugs reported.

Security

neural-scene-graphs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

neural-scene-graphs does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Train the model
Get the camera pose
Invert a rotation matrix
Load kitti data
Calculate the OOV of the image
Crop the image
Example example for tracklets
Load a metric function
Crop an 8 - bit image
Load an image from disk

Get all kandi verified functions for this library.

neural-scene-graphs Key Features

No Key Features are available at this moment for neural-scene-graphs.

neural-scene-graphs Examples and Code Snippets

No Code Snippets are available at this moment for neural-scene-graphs.

Community Discussions

No Community Discussions are available at this moment for neural-scene-graphs.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install neural-scene-graphs

The whole script is currently optimized for the usage with Virtual KITTI 2 Dataset and KITTI.
Follow the instructions under data preparation to setup the KITTI dataset. Disclaimer: The codebase is optimized to run on larger GPU servers with a lot of free CPU memory. To test on local and low memory,. or change to the desired factor in your config file.
Use chunk and netchunk in the config files to limit parallel computed rays and sampling points.
resize and retrain with

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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