raynet | Code for RayNet : Learning Volumetric 3D Reconstruction | 3D Printing library

by paschalidoud Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | raynet Summary

raynet is a Python library typically used in Modeling, 3D Printing applications. raynet has no bugs, it has no vulnerabilities, it has build file available and it has low support. However raynet has a Non-SPDX License. You can download it from GitHub.

Code for "RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials", CVPR 2018

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Quality

Security

License

Reuse

Support

raynet has a low active ecosystem.

It has 65 star(s) with 17 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 4 have been closed. On average issues are closed in 8 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of raynet is current.

Quality

raynet has no bugs reported.

Security

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

License

raynet 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

raynet 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.

Top functions reviewed by kandi - BETA

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

Builds the end - to - end training
Forward backward pass through the model
Compute similarity between two features
Convert a pixel to a feature
Builds a full multi - view convolution layer
Perform a multi - view cross - pass cross - pass cross - pass filter on a model
Performs a multi - view multi - view convolution using a multi - view CNN
Performs a CUDA kernel using the raynet
Concatenate CUDA source files to a string
Build a depth estimate for the depth of each ray
Create a grid from an argument parser
Perform a multi - view convolutional network
Build a convolution layer
Performs a ray marching
Build a simple CNN
R Compute the distance between the voxels of a single ray
Pick a random sample from the dataset
Calculate a batch of voxel Voxel traversal
Setup the module
Performs a MVCNN using Ray s method
Build a full multi - view convolution layer
Builds the Hartmann network
Sample points from a ray
Build a simple CNN for training
Generate a batch of parallel images
Calculate a multi - view convolutional layer

Get all kandi verified functions for this library.

raynet Key Features

No Key Features are available at this moment for raynet.

raynet Examples and Code Snippets

No Code Snippets are available at this moment for raynet.

Community Discussions

Trending Discussions on raynet

How do i set the current logged in user as default in Django view when no url parameters are given

QUESTION

How do i set the current logged in user as default in Django view when no url parameters are given

Asked 2020-Feb-19 at 06:06

i want the /profile/ route to be accessible without having to pass any url argument

This is my profile View:

...

ANSWER

Answered 2020-Feb-19 at 06:06

Try like this:

Source https://stackoverflow.com/questions/60293986

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

Vulnerabilities

No vulnerabilities reported

Install raynet

You can download it from GitHub.
You can use raynet 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

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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