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snes-disassembler

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A Super Nintendo (SNES) ROM disassembler for 65816 assembly

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/** * AI Models Implementation using HuggingFace Transformers * * Implements actual AI models for SNES pattern recognition: * - MobileNetV3 for graphics classification * - DistilBERT for text/sequence classification */ import { GraphicsClassification, AudioClassification, TextClassification, CompressionInfo } from './ai-pattern-recognition'; /** * Real AI Model Implementation for Graphics Classification * Uses Vision Transformer (86.6M parameters) for accurate image classification */ export declare class ViTGraphicsClassifier { private modelPath; private classifier; private isInitialized; constructor(modelPath?: string); initialize(): Promise<void>; classifyGraphics(imageData: { data: Uint8ClampedArray; width: number; height: number; }): Promise<GraphicsClassification>; private convertToImageBlob; private mapToSNESTypes; private enhancedHeuristicClassification; private calculateImageFeatures; private calculateSymmetry; private calculateCompactness; private calculateLinearity; private calculateTextureComplexity; private calculateRepeatingPatterns; private extractBlock; private blocksMatch; } /** * Real AI Model Implementation for Text/Sequence Classification * Uses DistilBERT for binary sequence analysis and text type detection */ export declare class DistilBERTSequenceClassifier { private modelPath; private textClassifier; private isInitialized; constructor(modelPath?: string); initialize(): Promise<void>; classifyText(sequence: Uint8Array): Promise<TextClassification>; classifyAudio(sequence: Uint8Array): Promise<AudioClassification>; private convertBinaryToText; private analyzeForSNESText; private analyzeBinaryForText; private analyzeAudioPatterns; private calculateEntropy; private calculateRepetition; } /** * Compression Detection using Statistical Analysis + AI Insights */ export declare class AICompressionDetector { private sequenceClassifier; constructor(); analyze(data: Uint8Array): Promise<CompressionInfo>; private calculateEntropy; private analyzePatterns; private determineCompression; } //# sourceMappingURL=ai-models-implementation.d.ts.map