Decompose-Single-Image-Into-Layers | code implements the pipeline

by CraGL Python Version: Current License: No License

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kandi X-RAY | Decompose-Single-Image-Into-Layers Summary

Decompose-Single-Image-Into-Layers is a Python library. Decompose-Single-Image-Into-Layers has no bugs, it has no vulnerabilities and it has low support. However Decompose-Single-Image-Into-Layers build file is not available. You can download it from GitHub.

This code implements the pipeline described in the paper "Decomposing Images into Layers via RGB-space Geometry" by Jianchao Tan, Jyh-Ming Lien, and Yotam Gingold in ACM Transactions on Graphics (TOG). The pipeline is divided into two steps.

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Support

Decompose-Single-Image-Into-Layers has a low active ecosystem.

It has 78 star(s) with 20 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Decompose-Single-Image-Into-Layers is current.

Quality

Decompose-Single-Image-Into-Layers has 0 bugs and 0 code smells.

Security

Decompose-Single-Image-Into-Layers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Decompose-Single-Image-Into-Layers code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Decompose-Single-Image-Into-Layers 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

Decompose-Single-Image-Into-Layers releases are not available. You will need to build from source code and install.

Decompose-Single-Image-Into-Layers has no build file. You will be need to create the build yourself to build the component from source.

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

Decompose-Single-Image-Into-Layers saves you 784 person hours of effort in developing the same functionality from scratch.

It has 1804 lines of code, 100 functions and 43 files.

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

Top functions reviewed by kandi - BETA

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

Run one iteration
Generate energy and gradient
Convert alphas to weights
Append a mesh to this mesh
Optimize an array using scipy optimize
Removes the first edge in the mesh by finding the closest volume
Get the halfedges
Updates the edge list
Update the edges of the mesh
Create a TriMesh from an object
Create a TriMesh from a list of lines
Return the number of vertices of a vertex
Returns the vertex neighbors of the given vertex index
List of boundary edges
Returns a directed edge from a directed edge index
Write the convex hull to obj file
Visualize the hull
Convert weights to alphas
Return a list of vertex vertices
Construct a TriMesh from a list of triangles
Evaluate edge normal
Remove vertices from face indices
Return the index of a directed edge
Append a mesh to the mesh
Generate symmetric lattice matrix
Calculates the ASAPAL Algorithm
Convert alphas to barycentric weights

Get all kandi verified functions for this library.

Decompose-Single-Image-Into-Layers Key Features

No Key Features are available at this moment for Decompose-Single-Image-Into-Layers.

Decompose-Single-Image-Into-Layers Examples and Code Snippets

No Code Snippets are available at this moment for Decompose-Single-Image-Into-Layers.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install Decompose-Single-Image-Into-Layers

You can download it from GitHub.
You can use Decompose-Single-Image-Into-Layers 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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