Skip to main content

Library to provide models trained on the VVAD-LRS3 Dataset. The library also contains preprocessing pipelines.

Project description

VVAD-LRS3

Library to provide models trained on the VVAD-LRS3 Dataset. The library also contains preprocessing pipelines. Applications are Speaker detection in scenarios, where multiple people are in the robot's field of view and stare detection for proactive approaches.

Prerequisites

vvadlrs3 depends on dlib which needs build tools to be installed over pip. Here is described what is needed.

For Ubuntu you just need to install the following:

sudo apt-get install build-essential cmake libopenblas-dev liblapack-dev libx11-dev libgtk-3-dev

Install

pip install vvadlrs3

Data

The models are trained on the VVAD-LRS3 Dataset


Some samples visualized. Samples with green borders are positive samples, samples with red borders are negative samples

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vvadlrs3-0.1.3.tar.gz (60.3 MB view details)

Uploaded Source

Built Distribution

vvadlrs3-0.1.3-py3-none-any.whl (60.3 MB view details)

Uploaded Python 3

File details

Details for the file vvadlrs3-0.1.3.tar.gz.

File metadata

  • Download URL: vvadlrs3-0.1.3.tar.gz
  • Upload date:
  • Size: 60.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for vvadlrs3-0.1.3.tar.gz
Algorithm Hash digest
SHA256 4e7bb75246ebb2e2e1dc5a6992925a002c7c23119797c4f701672ffc5d12eca9
MD5 d453d13b2af26deb06768692ddab7e38
BLAKE2b-256 4367df3add216dd2cc8e48dafeb2cb5b0b92239c696a9af2f0ca94592cab087c

See more details on using hashes here.

File details

Details for the file vvadlrs3-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: vvadlrs3-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 60.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for vvadlrs3-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 43f191fd4d7d44c8d7e5b23d39f9a36296fd2bed0dbe04b552f6556cd4574850
MD5 45bc7cd4b9f8556a3db6bb7bb7dc9999
BLAKE2b-256 940cd0850eb3149a0f6c29cdf2bf4c7f44364b30175425fb0bb1b8ad70809e52

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page