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Commit History
9 days ago
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feat: crown Commend API routes remix tools data processing ve istemci IP utilities eklendi Running
d411bd0 -
feat: analysis jobs queue inference xai ve timeline modules ile unit tests eklendi
413c3b6 -
feat: audio feature extraction ve vocal analyzer servisleri için music detection eklendi
8211829
17 days ago
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feat: background analysis job queue servisi ve corresponding tests eklendi
4164334 -
feat: background analysis jobs servisi ile queueing ve progress tracking eklendi
d5b9f5c -
feat: background analysis jobs servisi ile queueing progress tracking ve caching eklendi
45fa2f8 -
feat: background analysis jobs servisi ile fair queueing ve caching eklendi
db51cdb -
feat: fST external API istemci için AI music detection eklendi
61387f5
19 days ago
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feat: aI analysis servisleri routes detectors ve test suites eklendi
06b738c -
feat: analysis schemas XAI inference YouTube downloader ve analysis job servisleri eklendi
379d1f6
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feat: meta-classifier servisi için stacking ensemble model fusion eklendi
f73834f -
feat: remix ve Multitrack API uç noktaları ile rate limiting ve Pydantic schema doğrulama eklendi
26c0314 -
feat: remix engine routes dream analysis servisleri ve dataset organization utilities eklendi
e49c006
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feat: audio processing ve organization API uç noktaları ile unit testing eklendi
2eb5dd7
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feat: integrate wav2vec2 score into score fusion logic
87518a8
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fix: real ensemble inference, Youden threshold, DL unpickler
- inference_xai: load Youden-optimal threshold (0.4316) from training_results.json instead of hardcoded 0.5 - inference_xai: load all 11 models at startup for real-time voting (previously faked from training accuracy approximation) - inference_xai: _DLUnpickler remaps __main__.TorchSklearnWrapper so DL pkl files deserialise correctly outside training context - training_results.json: LightGBM optimal_threshold = 0.431577 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>f999d90 -
fix: add ffmpeg decoding fallback for audio loading in analyze_vocals
4718070
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fix: add ffmpeg decoding fallback for unsupported audio formats in feature extraction
14fc9a2
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Refactor code structure for improved readability and maintainability
c0f3b71 -
feat: update duration limit for audio analysis to 1 minute for improved detection
d20e581 -
feat: enhance score fusion confidence range and adjust CLAP weight for improved accuracy
e18d9f7 -
feat: adjust confidence calculation in score fusion to improve agreement handling
ba5cc97
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feat: add XAI inference service for explainable predictions with detailed feature contributions
ac52af9
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feat: enhance feature extraction with additional spectral and temporal metrics
7f1ed48 -
feat: extend AudioFeatures dataclass with additional spectral and temporal metrics
7b2d19a -
feat: add spectral rolloff and MFCC delta features to audio extraction
017841c -
fix: improve error handling and logging in YouTubeAnalysisService
c5dd8f6 -
feat: enhance YouTubeDownloader with cookie handling and error normalization
8bf6e42 -
feat: enhance YouTubeDownloader with cookie support and player client cycling
13ab660
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fix: add type annotation to _parse_response method for clarity
8f9848d -
fix: refactor import statement and format model path for readability
146568c -
fix: add docstring to Wav2Vec2DetectorService constructor for clarity
d78b84e -
fix: add docstring to MetaClassifierService constructor for clarity
b018523 -
fix: add return type annotation to Wav2Vec2DetectorService constructor
8644b6c -
fix: add return type annotation to MetaClassifierService constructor
146e6e5 -
feat: add wav2vec2 inference service for AURIS music detection
56f8e05 -
feat: implement meta-classifier service for AURIS score fusion
d3432f6 -
feat: add CLAP and FST indicators to score fusion results
e2e6c4b -
feat: add parsing functions for CLAP and FST results in score fusion
b4ae825 -
feat: enhance fuse_scores function with CLAP and FST results integration
dc559f6 -
feat: add imports for CLAPResult and FSTResult in score_fusion.py
d51601e -
feat: add FST client for AI music detection using HuggingFace API
0e90a82 -
feat: implement CLAP-based AI music detection service
9b8e571 -
feat: add vocal analysis module for AI music detection
86b258b -
feat: implement score fusion engine for AI music detection
9afcc8e -
feat: add audio feature extraction module for AI music detection
29d1ce6
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fix: remove base_url from service_status response for cleaner output
98d16d1 -
fix: enhance error handling in YouTube analysis and implement API key validation with rate limiting
c3a06a0
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fix: enhance CORS origin handling and update validation for YouTube URLs
cbff5e0
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Initial commit: CrownCode Backend for Hugging Face Spaces
- FastAPI backend with Docker support - PyTorch CPU for free tier - FFmpeg for audio processing - YouTube analysis endpoints Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>7ac6163