o 2wi%@sddlmZddlmZddlZddlmZmZmZm Z m Z ddl m Z ddl mZddlmZmZmZmZddlmZdd lmZmZdd lmZdd lmZmZed d Zej e!dddej"dedej#dde$e%eddddede&fddZ'ej e!dddej"dejddddej"dedej#ddejdddd d!ej#d"e$ed#d$dej#d%d&e(d'd(dej#d)d*ejddd+dd,dej#d-d.e(d/d0ddeded1eed2e&d3e(d4eed5e(fd6d7Z)ej e!dddej"d8ejddddej"d9edej"d:edej#ddejdddd d!ej#d"e$ed#d$dej#d-d.e(d/d0dd8ed9ed:ed1eed2e&d5e(f d;d<Z*ej e!dddej"d8ejdddd=dej"d9ejdd>dej"d:edej#ddejdddd?d!ej#d"e$ed#d$dej#d-d.e(d@dAdej#dBdCe+dDdEdd8ed9ed:ed1eed2e&d5e(dFe fdGdHZ,ej e!dddej"d1ejdddde"dIej"dJedej#d.d-e(d/dKd1edIe&dJed5e(fdLdMZ-dNedIe&dOefdPdQZ.dS)R)Path)OptionalN)CutSetFeatures FeatureSetLilcomURLWriterSeconds) RecordingSet)cli)FbankFeatureExtractorFeatureSetBuilder create_default_feature_extractor)FEATURE_EXTRACTORS)available_storage_backends get_writer)load_manifest_lazy_or_eager)PathlikefastcopycCs ddl}|d|ddS)z$Feature extraction related commands.rN)torchset_num_threadsset_num_interop_threads)rrV/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/lhotse/bin/modes/features.pyfeats rT) show_default)context_settings output_config)typez-fz--feature-typefbankz$Which feature extractor type to use.)rdefaulthelp feature_typecCst||dS)z:Save a default feature extraction config to OUTPUT_CONFIG.N)rto_yaml)rr#rrrwrite_default_configs r%recording_manifestF)existsdir_okay output_dirz--feature-manifestz=Optional manifest specifying feature extractor configuration.)rr"z--storage-type lilcom_chunkyz2Select a storage backend for the feature matrices.z-tz--lilcom-tick-powerzfDetermines the compression accuracy; the input will be compressed to integer multiples of 2^tick_powerz-rz --root-dir)r' file_okayzCRoot directory - all paths in the manifest will use this as prefix.z-jz --num-jobsrzNumber of parallel processes.feature_manifest storage_typelilcom_tick_powerroot_dirnum_jobsc Cst|}|dur||}|durt|nt}t|}|jdddd|vr-|dn|d} t|| |d} t || d} | j ||d |d WddS1sUwYdS) z Extract features for recordings in a given AUDIO_MANIFEST. The features are stored in OUTPUT_DIR, with one file per recording (or segment). NT)exist_okparentshdf5zfeats.h5storage) tick_power)feature_extractorr5zfeature_manifest.json.gz) recordingsoutput_manifestr1) r from_filewith_path_prefixr from_yamlr rmkdirrr process_and_store_recordings) r&r)r-r.r/r0r1r8r7 storage_pathr5feature_set_builderrrrextract-s2 .  "rAcutset output_cutsetr?cCsZt|}|durt|nt}|j|||t|d}t|jj ddd| |dS)z Extract features for cuts in a given CUTSET manifest. The features are stored in STORAGE_PATH, and the output manifest with features is stored in OUTPUT_CUTSET. N) extractorr?r1r.Tr3r2) rr:r r<r compute_and_store_featuresrrparentr=to_file)rBrCr?r-r.r1cutsr7rrr extract_cutsys  rJ)r'r( allow_dash)rKzOptional manifest specifying feature extractor configuration. If you want to use CUDA, you should specify the device in this config.zNumber of dataloader workers.z-bz--batch-durationg@zCAt most this many seconds of audio will be processed in each batch.batch_durationc Cs\t|}|durt|nt}|j||||t|d}t|jj ddd| |dS)a Extract features for cuts in a given CUTSET manifest. The features are stored in STORAGE_PATH, and the output manifest with features is stored in OUTPUT_CUTSET. This version enables CUDA acceleration for feature extractors that support it (e.g., kaldifeat extractors).  Example usage of kaldifeat fbank with CUDA: $ pip install kaldifeat # note: ensure it's compiled with CUDA $ lhotse feat write-default-config -f kaldifeat-fbank feat.yml $ sed 's/device: cpu/device: cuda/' feat.yml feat-cuda.yml $ lhotse feat extract-cuts-batch -f feat-cuda.yml cuts.jsonl cuts_with_feats.jsonl feats.h5 N)rDr?rM num_workersr.TrE) rr:r r<r compute_and_store_features_batchrrrGr=rH) rBrCr?r-r.r1rMrIr7rrrextract_cuts_batchs 8 rPurlr9)rr!c Csddlm}ddlm}t|}d|jvsJdt|}t|M}||0}g} ||ddD] } | | t | |q1|| d|dD] } | | qGWd n1s[wYWd d SWd d S1sswYd S) a Read an existing FEATURE_MANIFEST, upload the feature matrices it contains to a URL location, and save a new feature OUTPUT_MANIFEST that refers to the uploaded features. The URL can refer to endpoints such as AWS S3, GCP, Azure, etc. For example: "s3://my-bucket/my-features" is a valid URL. This script does not currently support credentials, and assumes that you have the write permissions. r)ProcessPoolExecutor)tqdmz.jsonlz;This mode only supports writing to JSONL feature manifests.z&Submitting parallel uploading tasks...)desczUploading features to N) concurrent.futuresrRrSrsuffixesrr: open_writerappendsubmit _upload_onewriteresult) r-rQr9r1rRrSlocal_featuresmanifest_writerexfuturesitemrrruploads(    PrbrareturncCs2|}t|}|j|j|d}t||||jdS)N)keyvalue)r? storage_keyr.)loadrr[rfrname)rarQ feats_mat feats_writernew_keyrrrrZs  rZ)/pathlibrtypingrclicklhotserrrrr lhotse.audior lhotse.bin.modes.cli_baser lhotse.featuresr r r rlhotse.features.baserlhotse.features.iorrlhotse.serializationr lhotse.utilsrrgrouprcommanddictargumentoptionChoiceliststrr%intrArJfloatrPrbrZrrrrs<            +      -"