Skip to main content

This package receives an mp4 file classfying it according to its emotions and generating a heat map

Project description

Multimodal Emotion Recognition from Videos

Esse projeto consiste na elaboração de um método capaz de extrair emoções em tempo real de um vídeo, organizando-as em um mapa de calor sobre as dimensões de arousal-valence.

Ele contém 4 métodos

  • transcript
    • Transforma um arquivo mp4 em um dataframe do Pandas contendo cada frase do vídeo e suas timestamps
  • emotion recognition
    • Classificar o dataframe do Pandas gerado pelo transcript quanto a suas emoções
  • get_labels
    • Retorna o dataframe
  • get_heatmap
    • Gera um heatmap com o dataframe desde que ele tenha sido classificado quanto as emoções

Aqui encontra-se o link para o colab com a baseline: https://colab.research.google.com/drive/1KLLo-aIEw3ZPJSTsSZTkb9QEYWp5nveG?authuser=1#scrollTo=BE7a2oIoO75Q

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

VideoEmotionRecognition-0.2.6.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

VideoEmotionRecognition-0.2.6-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file VideoEmotionRecognition-0.2.6.tar.gz.

File metadata

  • Download URL: VideoEmotionRecognition-0.2.6.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for VideoEmotionRecognition-0.2.6.tar.gz
Algorithm Hash digest
SHA256 299d401e2db84d183e1f01fcf3a8ce300cd257defd6e3a6f270e0e4cec005772
MD5 02ffbf019470ece436eff7603b6d95cc
BLAKE2b-256 780372864db4768f2114ac899604cbe601ec1dcb1dd97fa8965c987068ab2fd8

See more details on using hashes here.

File details

Details for the file VideoEmotionRecognition-0.2.6-py3-none-any.whl.

File metadata

File hashes

Hashes for VideoEmotionRecognition-0.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 b5d0dff3a237c66aee51e5395fb04ac268e6a5d99226a624c88a26f4c7779ec7
MD5 0a88e997049f8553c4adf2799531bfd6
BLAKE2b-256 4f7c5c1bea5c085c75398cdc3c324928734296fe59935ec5fde8bccecdb772ed

See more details on using hashes here.

Supported by

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