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0.0.4 uss-0.0.4-py3-none-any.whl

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Project: uss
Version: 0.0.4
Filename: uss-0.0.4-py3-none-any.whl
Download: [link]
Size: 40984
MD5: c5bab6fff7e741912c133acf163fe567
SHA256: f6aa6890b302c28b893bb380008deeca704a0f41b0715fa2461b8de44c3496b7
Uploaded: 2023-05-07 06:44:49 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: uss
Version: 0.0.4
Summary: Universal source separation (USS) with weakly labelled data.
Author: Qiuqiang Kong
Author-Email: qiuqiangkong[at]gmail.com
Home-Page: https://github.com/bytedance/uss
License: Apache2.0
Requires-Python: >=3.8
Requires-Dist: torch (>=2.0.0)
Requires-Dist: lightning (>=2.0.0)
Requires-Dist: panns-inference (>=0.1.0)
Requires-Dist: transformers
Requires-Dist: h5py
Requires-Dist: librosa (>=0.10.0.post2)
Requires-Dist: pandas
Requires-Dist: tensorboard
Requires-Dist: einops
License-File: LICENSE
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
uss/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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uss/evaluate.py sha256=jN8ZZVBX4RdyKCae7N30vqUb1VBC5D6itrM4QdWqQJw 6022
uss/inference.py sha256=3tb7YtvO7T3Pjy5sotRUNKAMnGPm_2j9pwD0Fcu4S_o 23903
uss/losses.py sha256=gkNIddm9g7fWwQBKSOzGRI-mED6yOfNx6OOzN8mUz4g 2295
uss/parse_ontology.py sha256=LZurDVFUcsLiiFvDXEPBHBzzCak9w8Y827MOZCJKXVc 2934
uss/train.py sha256=6WXlmLpP54A0vPIsP0_yixt-4MrEr4oAIR4Aml2_-9U 10445
uss/uss_inference.py sha256=G4OP6TtK7YK9Uw7QwL7t31J7X4p3lVPu0ElEbJuIEe4 2038
uss/utils.py sha256=NYzCRzqTldOz0gvKtd2jMWD1E2T-uTMO6JjFUhM10DQ 6234
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uss/callbacks/base.py sha256=rkb_dHZaPZnohsd4G34qP-9VnBNrwuKw7Dc6GjWMiwA 1062
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uss/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
uss/data/anchor_segment_detectors.py sha256=-oFkNH_fnMMFHDrqS7QvQN1w2Q3PUQcSOE2leaJX4zQ 7896
uss/data/anchor_segment_mixers.py sha256=lHy1t3-L6ha_I2329HT-8F4f8Ck7wKt4gpw0ruw5GTQ 2663
uss/data/datamodules.py sha256=kMqM1sFR3wmP4QvqcZOJ_PenXs_HzC-I9_MlQZMDR08 2855
uss/data/datasets.py sha256=LAtqp4dATGc1jAadoKZ2K8n6aT_JJHe2uMikws4B9LI 1876
uss/data/samplers.py sha256=j2MtE2SQkcKu7mGHZ8wT8-JnA3umMcQvGkHKQmNxpxU 5898
uss/dataset_creation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
uss/dataset_creation/create_audioset_evaluation_meta.py sha256=mMLFTbtR5J8yPn2R-cxyqUJpAM7dr0N98e9Ly0mNVuI 9953
uss/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
uss/models/base.py sha256=ZhwpPebSaruibkwKtrnMqdbVt8se3djjZgEeC43l8vA 4855
uss/models/film.py sha256=zBYVym3eO9dxwN4u0vr_vTDzK2G9TLz5PDannlbJ4S4 4263
uss/models/pl_modules.py sha256=6bgLwfqlExf0s5RZNCUGErETjH4Cnu4zYixBI116JYM 4937
uss/models/query_nets.py sha256=w_1hp5-hpWYBPbJ-5TSj4u6BgVh3ugJRwBvH2_WvHdI 9039
uss/models/resunet.py sha256=vfxdEHJvMMFixnfxlAlQevflWsrg2IjQ1PxpyJOLfVs 18238
uss/optimizers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
uss/optimizers/lr_schedulers.py sha256=snXRI6znqpfqjF8VAnOauvmupiT7ipFHfwUuuBvouE8 2498
uss-0.0.4.dist-info/LICENSE sha256=kQerw4uTF-mBnGDidjv9wkC98aqFZLZS3zGP2i65B24 550
uss-0.0.4.dist-info/METADATA sha256=jVlWVRl4YeXBBL7WkSmWbajD3R366F1fiBrgoPSKPdk 551
uss-0.0.4.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
uss-0.0.4.dist-info/entry_points.txt sha256=1BqS8TZGkntJezk3ZgP1BvHEK_6M-GsO4bMJcREvjQo 47
uss-0.0.4.dist-info/top_level.txt sha256=MI_r_zJ6Pj7xHOc4ZJDXYhqj95zy2egBnKDK0pGmQhY 4
uss-0.0.4.dist-info/RECORD — —

top_level.txt

uss

entry_points.txt

[console_scripts]
uss = uss.uss_inference:main