https://github.com/jryzkns/u-ide_blacke

Classifying emotion by using estimated keypoints instead of full images
https://github.com/jryzkns/u-ide_blacke

affective-computing artificial-intelligence openpose python3 pytorch

Last synced: about 1 month ago
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Classifying emotion by using estimated keypoints instead of full images

• Host: GitHub
• URL: https://github.com/jryzkns/u-ide_blacke
• Owner: jryzkns
• License: mit
• Created: 2018-11-16T06:28:50.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-11-09T02:57:58.000Z (over 6 years ago)
• Last Synced: 2025-01-15T07:58:05.164Z (over 1 year ago)
• Topics: affective-computing, artificial-intelligence, openpose, python3, pytorch
• Language: Python
• Homepage: https://www.researchgate.net/project/BLACKE
• Size: 882 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# U-iDE_BLACKE

- Brought to you by: The Undergrad-ient Descent Expedition (U-iDE)

- BLACK: Body Language Affect Classification by Keypoint Estimation

- As seen here: https://www.researchgate.net/project/BLACKE

- CMPT 419/726 Final Project

## Team members:

- Jack Zhou

- Karan Aujla

- Jame Bie

- Eric Gao

- Insoo Rhee

## Notes

- Most of the content in the repo is now deleted, but the what is left is the 6 BLAC* networks that takes in keypoint information that Openpose gives with the BODY_25 model: https://github.com/CMU-Perceptual-Computing-Lab/openpose