kfusion-tornadovm | Java implementation of Kinect Fusion

by beehive-lab Java Version: Current License: Apache-2.0

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

kandi X-RAY | kfusion-tornadovm Summary

kfusion-tornadovm is a Java library. kfusion-tornadovm has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A Java implementation of Kinect Fusion running on Tornado VM.

Support

Quality

Security

License

Reuse

Support

kfusion-tornadovm has a low active ecosystem.

It has 15 star(s) with 4 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 91 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kfusion-tornadovm is current.

Quality

kfusion-tornadovm has 0 bugs and 0 code smells.

Security

kfusion-tornadovm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kfusion-tornadovm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kfusion-tornadovm is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

kfusion-tornadovm 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 are not available. Examples and code snippets are available.

It has 7582 lines of code, 558 functions and 80 files.

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

Top functions reviewed by kandi - BETA

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

Initialize the pyramid
Configure the device
Initialize the volume
Returns the initial pose of the initial position
Dump data to a file
Dumps data to a file
Demonstrates how to execute the KDFusion pipeline
Demonstrates how to run the tests
Displays the rendered image
Displays an image
Configures speed and rendering of a device
Update the model
Displays the specified drawable
Initialise the buffer
Performs a reduce operation
Runs the camera
Display the given graphics object
Reads the internal data structures and sets up the internal data structures
Initialise the device
Poll the frame
Polls up the depth image
Write a frame to a file
Polls for a video frame
Reduce image
Process the camera
Parses the frame buffer and returns true iff the frame is empty

Get all kandi verified functions for this library.

kfusion-tornadovm Key Features

No Key Features are available at this moment for kfusion-tornadovm.

kfusion-tornadovm Examples and Code Snippets

No Code Snippets are available at this moment for kfusion-tornadovm.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install kfusion-tornadovm

You can download it from GitHub.
You can use kfusion-tornadovm like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the kfusion-tornadovm component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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