Replace YAMNet model for panns-inference
YAMNet model was causing issues, as loading a pytorch framework model, when the tensorflow based YAMNet is loaded in the same environment already, caused segmentation fault
This commit is contained in:
+24
-61
@@ -6,76 +6,51 @@ build-backend = "setuptools.build_meta"
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name = "freqsplit"
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version = "0.1.0"
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dependencies = [
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"absl-py==2.1.0",
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"aiohappyeyeballs==2.4.4",
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"aiohttp==3.11.11",
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"aiohappyeyeballs==2.4.6",
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"aiohttp==3.11.13",
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"aiosignal==1.3.2",
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"amqp==5.3.1",
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"antlr4-python3-runtime==4.9.3",
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"appdirs==1.4.4",
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"asgiref==3.8.1",
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"asteroid==0.7.0",
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"asteroid-filterbanks==0.4.0",
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"astunparse==1.6.3",
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"attrs==25.1.0",
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"audioread==3.0.1",
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"billiard==4.2.1",
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"cached-property==2.0.1",
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"celery==5.4.0",
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"certifi==2024.12.14",
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"certifi==2025.1.31",
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"cffi==1.17.1",
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"charset-normalizer==3.4.1",
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"click==8.1.8",
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"click-didyoumean==0.3.1",
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"click-plugins==1.1.1",
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"click-repl==0.3.0",
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"cloudpickle==3.1.1",
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"contourpy==1.3.1",
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"cycler==0.12.1",
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"decorator==5.1.1",
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"decorator==5.2.1",
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"DeepFilterLib==0.5.6",
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"DeepFilterNet==0.5.6",
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"demucs==4.0.1",
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"Django==5.1.6",
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"dora_search==0.1.12",
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"einops==0.8.0",
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"einops==0.8.1",
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"filelock==3.17.0",
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"flatbuffers==25.2.10",
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"fonttools==4.55.6",
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"fonttools==4.56.0",
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"frozenlist==1.5.0",
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"fsspec==2024.12.0",
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"future==1.0.0",
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"gast==0.6.0",
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"google-pasta==0.2.0",
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"grpcio==1.70.0",
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"h5py==3.13.0",
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"huggingface-hub==0.28.0",
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"fsspec==2025.2.0",
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"huggingface-hub==0.29.1",
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"idna==3.10",
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"iniconfig==2.0.0",
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"Jinja2==3.1.5",
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"joblib==1.4.2",
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"julius==0.2.7",
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"keras==3.8.0",
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"kiwisolver==1.4.8",
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"kombu==5.4.2",
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"lameenc==1.8.1",
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"lazy_loader==0.4",
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"libclang==18.1.1",
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"librosa==0.10.2.post1",
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"lightning-utilities==0.11.9",
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"lightning-utilities==0.12.0",
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"llvmlite==0.44.0",
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"loguru==0.7.3",
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"Markdown==3.7",
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"markdown-it-py==3.0.0",
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"MarkupSafe==3.0.2",
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"matplotlib==3.10.0",
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"mdurl==0.1.2",
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"mir_eval==0.7",
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"ml-dtypes==0.4.1",
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"mir_eval==0.8.2",
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"mpmath==1.3.0",
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"msgpack==1.1.0",
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"multidict==6.1.0",
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"namex==0.0.8",
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"networkx==3.4.2",
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"numba==0.61.0",
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"numpy==1.26.4",
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@@ -88,70 +63,58 @@ dependencies = [
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"nvidia-curand-cu12==10.3.5.147",
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"nvidia-cusolver-cu12==11.6.1.9",
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"nvidia-cusparse-cu12==12.3.1.170",
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"nvidia-cusparselt-cu12==0.6.2",
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"nvidia-nccl-cu12==2.21.5",
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"nvidia-nvjitlink-cu12==12.4.127",
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"nvidia-nvtx-cu12==12.4.127",
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"omegaconf==2.3.0",
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"openunmix==1.3.0",
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"opt_einsum==3.4.0",
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"optree==0.14.0",
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"packaging==23.2",
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"pandas==2.2.3",
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"panns-inference==0.1.1",
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"pb-bss-eval==0.0.2",
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"pesq==0.0.4",
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"pillow==11.1.0",
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"platformdirs==4.3.6",
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"pluggy==1.5.0",
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"pooch==1.8.2",
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"prompt_toolkit==3.0.50",
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"propcache==0.2.1",
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"protobuf==5.29.3",
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"propcache==0.3.0",
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"pycparser==2.22",
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"Pygments==2.19.1",
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"pyparsing==3.2.1",
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"pystoi==0.4.1",
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"pytest==8.3.4",
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"python-dateutil==2.9.0.post0",
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"pytorch-lightning==2.5.0.post0",
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"pytorch-ranger==0.1.1",
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"pytz==2024.2",
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"pytz==2025.1",
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"PyYAML==6.0.2",
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"redis==5.2.1",
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"regex==2024.11.6",
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"requests==2.32.3",
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"retrying==1.3.4",
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"rich==13.9.4",
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"safetensors==0.5.3",
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"scikit-learn==1.6.1",
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"scipy==1.15.1",
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"setuptools==75.8.0",
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"scipy==1.15.2",
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"setuptools==75.8.1",
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"six==1.17.0",
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"soundfile==0.13.1",
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"soxr==0.5.0.post1",
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"sqlparse==0.5.3",
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"submitit==1.5.2",
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"sympy==1.13.1",
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"tensorboard==2.18.0",
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"tensorboard-data-server==0.7.2",
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"tensorflow==2.18.0",
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"tensorflow-hub==0.16.1",
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"termcolor==2.5.0",
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"tf_keras==2.18.0",
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"threadpoolctl==3.5.0",
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"torch==2.5.1",
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"tokenizers==0.21.0",
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"torch==2.6.0",
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"torch-optimizer==0.1.0",
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"torch-stoi==0.2.3",
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"torchaudio==2.5.1",
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"torchaudio==2.6.0",
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"torchlibrosa==0.1.0",
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"torchmetrics==0.11.4",
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"tqdm==4.67.1",
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"transformers==4.49.0",
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"treetable==0.2.5",
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"triton==3.1.0",
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"triton==3.2.0",
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"typing_extensions==4.12.2",
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"tzdata==2025.1",
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"urllib3==2.3.0",
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"vine==5.1.0",
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"wcwidth==0.2.13",
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"Werkzeug==3.1.3",
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"wheel==0.45.1",
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"wrapt==1.17.2",
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"yarl==1.18.3",
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]
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