hfbs | a hardware-friendly bilateral solver

by uwsampa Python Version: Current License: MIT

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

kandi X-RAY | hfbs Summary

hfbs is a Python library. hfbs has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However hfbs build file is not available. You can download it from GitHub.

The hardware-friendly bilateral solver (HFBS) is a parallel algorithm for bilateral solving. This repo has Python software reference and Verilog hardware implementations for experimentation. The Verilog implementation comes with scaffolding for deployment on a Xilinx Zynq ZC702 dev board. The software code is an unoptimized version of the implementation described in the paper, so runtimes are worse than those reported in the paper. You can read more about HFBS in the HPG 2017 paper or the summary blog post.

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Quality

Security

License

Reuse

Support

hfbs has a low active ecosystem.

It has 21 star(s) with 9 fork(s). There are 24 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 15 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hfbs is current.

Quality

hfbs has 0 bugs and 0 code smells.

Security

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

hfbs code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hfbs 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

hfbs releases are not available. You will need to build from source code and install.

hfbs has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

hfbs saves you 75 person hours of effort in developing the same functionality from scratch.

It has 195 lines of code, 9 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Solve the Jacobian matrix
Make the neighbors of a grid
Blastochastic transform
Prepare flow data
Convert an rgb value to a grayscale

Get all kandi verified functions for this library.

hfbs Key Features

No Key Features are available at this moment for hfbs.

hfbs Examples and Code Snippets

No Code Snippets are available at this moment for hfbs.

Community Discussions

No Community Discussions are available at this moment for hfbs.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install hfbs

HFBS uses Python 2.7 with numpy, matplotlib, and scipy. You can test the software reference by running. which will run HFBS with the input data from the data/depth_superres folder.

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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