Feat: Add disgust expression detection 🤢#4
Open
Elyter wants to merge 1 commit into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.

Description:
This PR introduces a new facial expression detection for Disgust. The program now detects when a user scrunches their nose or sneers and displays the corresponding cat-disgust.jpeg.
Changes:
Logic: Implemented cat_disgust() function using Mediapipe Face Mesh landmarks #4 (nose tip) and #0 (upper lip).
Detection: The expression is triggered when the vertical distance between the nose and upper lip decreases below a configurable threshold (simulating a nose scrunch).
Config: Added disgust_threshold in main.py to allow sensitivity tuning.
Docs: Updated README.md to include the new expression and configuration details.