video_features | Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as w | Computer Vision library

by v-iashin Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | video_features Summary

video_features is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. video_features has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However video_features build file is not available. You can download it from GitHub.

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as I3D, R(2+1)D, VGGish, ResNet features.

Support

Quality

Security

License

Reuse

Support

video_features has a low active ecosystem.

It has 282 star(s) with 56 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 34 have been closed. On average issues are closed in 28 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of video_features is current.

Quality

video_features has no bugs reported.

Security

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

License

video_features is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

video_features 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.

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video_features Key Features

No Key Features are available at this moment for video_features.

video_features Examples and Code Snippets

No Code Snippets are available at this moment for video_features.

Community Discussions

Vulnerabilities

No vulnerabilities reported

Install video_features

You can download it from GitHub.
You can use video_features 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

I3D-Net RGB + Flow (Kinetics 400)R(2+1)d RGB (Kinetics 400)VGGish (AudioSet)RAFT (FlyingChairs, FlyingThings3D, Sintel, KITTI)PWC-Net (Sintel)ResNet-18,34,50,101,152 (ImageNet)

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