iNeRF-public | preliminary codebase currently only shows how to apply iNeRF

by yenchenlin Python Version: Current License: No License

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

kandi X-RAY | iNeRF-public Summary

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

This preliminary codebase currently only shows how to apply iNeRF with pixelNeRF. However, iNeRF can work with the original NeRF as well.

Support

Quality

Security

License

Reuse

Support

iNeRF-public has a low active ecosystem.

It has 148 star(s) with 22 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 4 have been closed. On average issues are closed in 31 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of iNeRF-public is current.

Quality

iNeRF-public has no bugs reported.

Security

iNeRF-public has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

iNeRF-public 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

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

iNeRF-public 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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iNeRF-public Key Features

No Key Features are available at this moment for iNeRF-public.

iNeRF-public Examples and Code Snippets

No Code Snippets are available at this moment for iNeRF-public.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install iNeRF-public

To start, create the environment using conda:. Please make sure you have up-to-date NVIDIA drivers supporting CUDA 10.2 at least.
Download all pixelNeRF's pretrained weight files from here. Extract this to ./pixel-nerf/checkpoints/, so that ./pixel-nerf/checkpoints/srn_car/pixel_nerf_latest exists. Launch the Jupyter notebook.
Download all pixelNeRF's pretrained weight files from here. Extract this to ./pixel-nerf/checkpoints/, so that ./pixel-nerf/checkpoints/srn_car/pixel_nerf_latest exists.
Launch the Jupyter notebook.
Open pose_estimation.ipynb and run through it. You can preview the results here. In the following, we show the overlay of images rendered with our predicted poses and the target image.

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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