Skip to main content

Standalone package for capturing video from the webcam, detecting all faces in the video and then runing the DeepFace emotional classifier on each face. The output of the emotional classfications will be written as JSON to a Unix pipe to be consumed by any other process

Project description

Overview

This packages is a very basic script that captures video from the webcam, detects all faces in the video and then runs the DeepFace emotional classifier on each face. The output of the emotional classfications will be written to a Unix pipe to be consumed by any other process.

Instructions

Everything is contained in emotional_detection/main.py. You simply install the dependencies and run. This project works out of the box with poetry, but you could install the dependencies using any dependency manager + virtual environment combination you choose.

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

emotional-detection-0.1.3.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

emotional_detection-0.1.3-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file emotional-detection-0.1.3.tar.gz.

File metadata

  • Download URL: emotional-detection-0.1.3.tar.gz
  • Upload date:
  • Size: 3.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.15 CPython/3.9.13 Darwin/20.6.0

File hashes

Hashes for emotional-detection-0.1.3.tar.gz
Algorithm Hash digest
SHA256 6383888a97086e338c61ede10a5b213f5cca36a01f639fa397f327f476ef275f
MD5 e0f1cf03b75811849c24bedc84f968f5
BLAKE2b-256 39302d67a3b899c6831b49a565a14825ddfdbd59cdc9f10bf40c9cd366c39c2f

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for emotional_detection-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1bb15159fdf36b8415b0fbb6bb796f86dd585f9a85a4b7d06806b3398585ef18
MD5 cdb0c2047ce29bc18fa9bf174d41ea96
BLAKE2b-256 f4f96f7476b88a84df57844dd1f1bb051746c60484785b82a2e41ebfa85128e9

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