Functions — github.com/Bavatharanivethamani/-EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP-

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Functions14 in github.com/Bavatharanivethamani/-EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP-

⨍ Functions 14 ◇ Types & classes 4

↓ 2 callersMethodanalyze

Analyze sentiment and return probabilities for [negative, neutral, positive]

emotion_stress_detection/models/text_model.py:14

↓ 1 callersFunctionanalyze_voice_stress

Analyze voice stress using audio features (NO TRAINING NEEDED) Returns: stress_level (0-4) where 0=calm, 4=extreme

emotion_stress_detection/models/voice_model.py:32

↓ 1 callersFunctionextract_mfcc

Extract MFCC features from audio (kept for compatibility)

emotion_stress_detection/models/voice_model.py:136

↓ 1 callersFunctionload_models

emotion_stress_detection/app.py:70

↓ 1 callersFunctionload_models

emotion_stress_detection/data/images/train_face.py:70

↓ 1 callersFunctiontrain_face_model

emotion_stress_detection/train_face.py:39

Method__getitem__

emotion_stress_detection/train_face.py:30

(self, root_dir, transform=None)

emotion_stress_detection/train_face.py:11

(self, num_classes=7)

emotion_stress_detection/models/face_model.py:6

(self, num_classes=5)

emotion_stress_detection/models/voice_model.py:7

emotion_stress_detection/models/text_model.py:5

emotion_stress_detection/train_face.py:27

emotion_stress_detection/models/face_model.py:16

emotion_stress_detection/models/voice_model.py:20