neural_renderer | original pytorch implementation of Neural 3D Mesh | Machine Learning library

 by   iPERDance Python Version: Current License: Non-SPDX

kandi X-RAY | neural_renderer Summary

kandi X-RAY | neural_renderer Summary

neural_renderer is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. neural_renderer has no bugs, it has no vulnerabilities, it has build file available and it has low support. However neural_renderer has a Non-SPDX License. You can download it from GitHub.

This repo is modified from the original pytorch implementation of Neural 3D Mesh Renderer, as well as the original chainer implementation.
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              neural_renderer has a low active ecosystem.
              It has 8 star(s) with 6 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 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 neural_renderer is current.

            kandi-Quality Quality

              neural_renderer has no bugs reported.

            kandi-Security Security

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

            kandi-License 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.

            kandi-Reuse 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.

            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.
            • Concatenate a mesh
            • Forward the background color map
            • Forward face index map
            • Adds the alpha map to the alpha map
            • Backward compatibility
            • Backward_pixel_map function
            • Backwards compatibility
            • Load an object from a file
            • Load texture files
            • Load texture from a file
            • Proximal projection of a mesh
            • Calculate a batch ofrodrigues
            • Helper function for batch_shk
            • Saves a matplotlib object
            • Create a texture image
            • Calculate raster and face index map
            • Rasterize an image
            • Rasterize faces and texture
            • Rasterize face index map
            • Generate a weight map for a set of faces
            • Create raster map from faces
            • Calculate raster depth
            • Render a mesh
            • Render the scene
            • Make 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

            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

            In install mode python3 setup.py install. or editing mode pip install -v -e .

            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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            https://github.com/iPERDance/neural_renderer.git

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            gh repo clone iPERDance/neural_renderer

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            git@github.com:iPERDance/neural_renderer.git

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