OMA | Occlusion Mask on Android

by FilippoAleotti Java Version: Current License: Apache-2.0

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

kandi X-RAY | OMA Summary

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

Occlusion Mask on Android.

Support

Quality

Security

License

Reuse

Support

OMA has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OMA is current.

Quality

OMA has no bugs reported.

Security

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

License

OMA 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

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

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

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

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OMA Key Features

No Key Features are available at this moment for OMA.

OMA Examples and Code Snippets

No Code Snippets are available at this moment for OMA.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install OMA

Clone this repository and use Android Studio to build ARPydnet and Dataset Generator. ARPydnet is an AR demo app. It combines ARCore and monocular depth estimation to generate Occlusion Mask. The main AR demo is from Hello AR project. The monocular depth estimation used is Mobile PyDNet. Dataset Generator is an app to generate useful dataset for (re-)training monocular depth estimation ANN. It uses ARCore PointCloud and the camera frames. Dataset Scripts folder contains some python scripts to extract data from generated datasets.

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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