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EMOTIA

Transformers
emotion-detection
intent-analysis
multi-modal
video-analysis
real-time
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EMOTIA
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{
  "model": {
    "vision_model": "resnet50",
    "audio_model": "wav2vec2",
    "text_model": "bert-base",
    "fusion_dim": 512,
    "num_emotions": 7,
    "num_intents": 5
  },
  "optimization": {
    "pruning": {
      "enabled": true,
      "type": "structured",
      "amount": 0.3,
      "schedule": "linear"
    },
    "quantization": {
      "enabled": true,
      "type": "dynamic",
      "precision": "int8",
      "calibration_samples": 1000
    },
    "distillation": {
      "enabled": false,
      "teacher_model": "resnet101",
      "temperature": 2.0,
      "alpha": 0.5
    }
  },
  "deployment": {
    "target_platforms": ["cpu", "cuda", "mobile", "web"],
    "batch_sizes": [1, 4, 8, 16],
    "precision_modes": ["fp32", "fp16", "int8"],
    "optimization_goals": {
      "latency": 0.8,
      "accuracy": 0.9,
      "model_size": 0.3
    }
  },
  "benchmarking": {
    "input_shapes": [
      [1, 3, 224, 224],
      [4, 3, 224, 224],
      [8, 3, 224, 224]
    ],
    "num_runs": 100,
    "warmup_runs": 10,
    "metrics": ["latency", "throughput", "memory", "accuracy"]
  },
  "edge_deployment": {
    "mobile": {
      "enabled": true,
      "framework": "pytorch_mobile",
      "quantization": "dynamic_int8"
    },
    "web": {
      "enabled": true,
      "framework": "onnx",
      "runtime": "onnx.js",
      "fallback": "webgl"
    },
    "embedded": {
      "enabled": false,
      "framework": "tflite",
      "optimization": "extreme"
    }
  },
  "monitoring": {
    "performance_tracking": true,
    "accuracy_monitoring": true,
    "drift_detection": true,
    "alerts": {
      "latency_threshold": 100,
      "accuracy_drop_threshold": 0.05
    }
  }
}