neural_renderer | Neural 3D Mesh Renderer '' ( CVPR | Graphics library

by hiroharu-kato Python Version: v1.1.0 License: MIT

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, it has a Permissive License and it has medium support. You can download it from GitHub.

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

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Quality

Security

License

Reuse

Support

neural_renderer has a medium active ecosystem.

It has 1094 star(s) with 166 fork(s). There are 51 watchers for this library.

It had no major release in the last 12 months.

There are 25 open issues and 15 have been closed. On average issues are closed in 43 days. There are 1 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 0 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 0 security hotspots that need review.

License

neural_renderer 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

neural_renderer releases are available to install and integrate.

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

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

neural_renderer saves you 884 person hours of effort in developing the same functionality from scratch.

It has 2021 lines of code, 87 functions and 34 files.

It has medium 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.

Main function
Render a set of vertices
Serializes the model to GPU
Generate a gif file
Forward GPU
Forward face index map to GPU
Forward background to GPU
Forward alpha map to GPU
Save an object to a file
Create a texture image
Backward computation
Backward conversion function
Backward depth map computation
Rasterize a mesh
Rasterize a RGBA image
Rasterize a set of faces
Calculate raster depth
Calculate the Gaussian gradient
Forward computation

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 download it from GitHub.
You can use neural_renderer 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

Code in this repository is only for Python 2.x. PyTorch port by Nikos Kolotourosr, supports Python 3.x. If you want to install neural renderer using Python 3, please add ./neural_renderer to $PYTHON_PATH temporarily as mentioned in issue #6. However, since we did not tested our code using Python 3, it might not work well.

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