Skip to main content

Grouping rgb and infra people`s faces by folders using face features.

Project description

Face group

Grouping rgb and infra people`s faces by folders using face features

PyPI Version Build Status codecov

face-group finds faces using dlib

Installation

sudo apt-get install build-essential cmake
pip install face-group

Usage

$ face-group --help
Usage: face-group [OPTIONS]

  It groups the faces of similar people

Options:
  -i, --input-dir PATH   Path of directory with rgb and infra images.
  -o, --output-dir PATH  Path of output directory (default='out').
  -v, --verbose BOOLEAN  Show info or not.
  -m, --model [hog|cnn]  Type of backend for computing features.
  -c, --cpus INTEGER     Number of CPU cores to use in parallel (can speed up
                         processing lots of images). -1 means "use all in
                         system".

  --help                 Show this message and exit.

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

face-group-0.1.11.tar.gz (4.5 kB view details)

Uploaded Source

Built Distribution

face_group-0.1.11-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file face-group-0.1.11.tar.gz.

File metadata

  • Download URL: face-group-0.1.11.tar.gz
  • Upload date:
  • Size: 4.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.8.5 Linux/5.4.0-64-generic

File hashes

Hashes for face-group-0.1.11.tar.gz
Algorithm Hash digest
SHA256 0b50402f7205800c6ff439158f94a384c4cd86d50ad38d08752173db1580d31c
MD5 6f96a8046bca2c562de9e536ec20253e
BLAKE2b-256 d9d9b2c4249e661c46f2fb4bc72b35e65d2526938260e4c09e8a1ed7d690d01d

See more details on using hashes here.

File details

Details for the file face_group-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: face_group-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 5.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.8.5 Linux/5.4.0-64-generic

File hashes

Hashes for face_group-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 6ce999b524fb27a18b280a8fea4ebb5aeb3f8a60b97d9f2f93f474d483bef09b
MD5 f7951450c7c5070a1ddf01006de39b9e
BLAKE2b-256 27e20703b33d08ed2f4e2766d75e899f4dcebae9aa9c5e933baffbbae0023864

See more details on using hashes here.

Supported by

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