neural_renderer | A PyTorch port of the Neural 3D Mesh Renderer | Graphics library

by daniilidis-group Python Version: v1.1.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | neural_renderer Summary

neural_renderer is a Python library typically used in User Interface, Graphics applications. neural_renderer has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However neural_renderer has a Non-SPDX License. You can download it from GitHub.

A PyTorch port of the Neural 3D Mesh Renderer

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Quality

Security

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Support

neural_renderer has a medium active ecosystem.

It has 1057 star(s) with 234 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 59 open issues and 55 have been closed. On average issues are closed in 38 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of neural_renderer is v1.1.0

Quality

neural_renderer has 0 bugs and 35 code smells.

Security

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

neural_renderer code analysis shows 0 unresolved vulnerabilities.

There are 7 security hotspots that need review.

License

neural_renderer has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

neural_renderer 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.

neural_renderer saves you 681 person hours of effort in developing the same functionality from scratch.

It has 1576 lines of code, 72 functions and 32 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Forward computation
Forward background color map
Forward a face index map
Add alpha_map to face_index
Render a mesh
Render faces
Render a depth image
Render a scene
Load a mesh file
Load textures from a file
Load a texture
Backward computation
Backward compatibility
Backward depth map
R Save a mesh
Create a texture image
Rasterize faces and texture
Rasterize an RGBA image
Calculate raster depth
Rasterize faces
Make a reference image from a reference image
Make a gif file

Get all kandi verified functions for this library.

neural_renderer Key Features

No Key Features are available at this moment for neural_renderer.

neural_renderer Examples and Code Snippets

No Code Snippets are available at this moment for neural_renderer.

Community Discussions

Trending Discussions on neural_renderer

Building CUDA extension fails even after issue in code (deprecated AT_CHECK) is fixed

Building wheel for neural-renderer-pytorch (setup.py) ...installing multiperson and neural mesh renderer doesn't work for pytorch 1.6

QUESTION

Building CUDA extension fails even after issue in code (deprecated AT_CHECK) is fixed

Asked 2021-May-08 at 14:13

I'm trying to install neural_renderer. Unfortunately, the original implementation only supports Python 2.7+ and PyTorch 0.4.0, so I'm using a fork that includes some fixes for compatibility with torch 1.7 (here). The main issue was using AT_CHECK(), which was not compatible with newer versions of PyTorch, and was replaced with TORCH_CHECK().

After running pip install neural_renderer_pytorch on the fixed version, using a virtual environment, I get the output (which I truncated to just the error):

...

ANSWER

Answered 2021-May-08 at 14:12

If you want to install the fork, you cannot use pip install neural_renderer_pytorch. This command installs the original one.

To install the fork, you have to clone it to your local machine and install it:

Source https://stackoverflow.com/questions/67447724

QUESTION

Building wheel for neural-renderer-pytorch (setup.py) ...installing multiperson and neural mesh renderer doesn't work for pytorch 1.6

Asked 2020-Dec-06 at 22:03

I am trying to install a github repo named multiperson for PyTorch 1.6 and I get the following error. How can I make it work for PyTorch 1.6?

...

ANSWER

Answered 2020-Dec-06 at 22:03

You would need to change all AT_CHECK in neural mesh renderer to TORCH_CHECK

Source https://stackoverflow.com/questions/65173409

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

Vulnerabilities

No vulnerabilities reported

Install neural_renderer

You can install the package by running. Since running install.py requires PyTorch, make sure to install PyTorch before running the above command.

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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