imvoxelnet | Voxels Projection for Monocular and Multi-View General

by SamsungLabs Python Version: v1.2 License: MIT

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kandi X-RAY | imvoxelnet Summary

imvoxelnet is a Python library. imvoxelnet 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.

This repository contains implementation of the monocular/multi-view 3D object detector ImVoxelNet, introduced in our paper:. ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection Danila Rukhovich, Anna Vorontsova, Anton Konushin Samsung AI Center Moscow

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imvoxelnet has a low active ecosystem.

It has 206 star(s) with 25 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 53 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of imvoxelnet is v1.2

Quality

imvoxelnet has no bugs reported.

Security

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

License

imvoxelnet is licensed under the MIT License. This license is Permissive.

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

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imvoxelnet releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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imvoxelnet Key Features

No Key Features are available at this moment for imvoxelnet.

imvoxelnet Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install imvoxelnet

For convenience, we provide a Dockerfile. Alternatively, you can install all required packages manually. This implementation is based on mmdetection3d framework. Please refer to the original installation guide install.md, replacing open-mmlab/mmdetection3d with saic-vul/imvoxelnet. Also, rotated_iou should be installed with these 4 commands. Most of the ImVoxelNet-related code locates in the following files: detectors/imvoxelnet.py, necks/imvoxelnet.py, dense_heads/imvoxel_head.py, pipelines/multi_view.py.
Please see getting_started.md for basic usage examples.

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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