Wheelodex » Projects » acoss

acoss

View on PyPI — Reverse Dependencies (0)

0.0.1 acoss-0.0.1-cp36-cp36m-manylinux1_x86_64.whl
acoss-0.0.1-cp36-cp36m-manylinux1_i686.whl

Wheel Details

Project: acoss
Version: 0.0.1
Filename: acoss-0.0.1-cp36-cp36m-manylinux1_x86_64.whl
Download: [link]
Size: 111715
MD5: 8418084af3e4bc8922bc266e13d54d69
SHA256: bb3863fb6b1134216abe2a432dc81ca65615cfc299dc78e562f5bbeb18bb276f
Uploaded: 2019-10-15 11:33:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: acoss
Version: 0.0.1
Summary: Audio Cover Song Suite (acoss): A benchmarking suite for cover song identification tasks
Author: Albin Correya, Furkan Yesiler, Chris Traile, Philip Tovstogan, and Diego Silva
Author-Email: albin.correya[at]upf.edu
Home-Page: https://github.com/furkanyesiler/acoss
Project-Url: Source, https://github.com/furkanyesiler/acoss
Project-Url: Tracker, https://github.com/furkanyesiler/acoss/issues
License: AGPL3.0
Keywords: audio music dsp musicinformationretireval coversongidentification
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: madmom
Requires-Dist: numpy (>=1.16.5)
Requires-Dist: pandas
Requires-Dist: scipy (==1.2.1)
Requires-Dist: scikit-learn (==0.19.2)
Requires-Dist: deepdish
Requires-Dist: essentia
Provides-Extra: tests
Provides-Extra: docs
Provides-Extra: docs
Provides-Extra: tests
Description-Content-Type: text/markdown
[Description omitted; length: 1833 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.1)
Root-Is-Purelib: false
Tag: cp36-cp36m-manylinux1_x86_64

RECORD

Path Digest Size
pySeqAlign.cpython-36m-x86_64-linux-gnu.so sha256=VXZ32JsUFqGQjsC5Cuh1YXlfuC0ceMfD3ZO0Ho1omcI 181037
acoss/_version.py sha256=qU6jKYtA_uXrulldaRwxhH81_s9IO89j24NroxT8Aew 40
acoss/coverid.py sha256=v2x7_PgT7ekkKiKuTDXW8s2LlMJUtqL0blI0J0bfGag 5161
acoss/features.py sha256=0BzH2IB2mARtVUMXbLVf-IELASNDJTXrIrzGsuqwQn4 26300
acoss/extractors.py sha256=zViYqZCNw1IetQ3222MuNK2_JWTk-jIQLd4U2hDgesI 8221
acoss/utils.py sha256=hziNTczqeoth06ybTwcmYKVCHq8_zyj5CcVjJCG0yL0 2786
acoss/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
acoss/statistics/song_structure.py sha256=c2rE0p_R6pYM8mggiYKHRhKRc39o9Q_m0bNFl8zd938 5660
acoss/statistics/onset_timing.py sha256=GimbCzigYFXkBH0aA5C6bVo59cd69ZWGcC5Nfloy4fw 9846
acoss/statistics/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
acoss/statistics/cover_stats.py sha256=1XA2QLI1NtetTD78Q1Sx8pMxMSgpEREkz6obOiYjlig 8708
acoss/benchmark/ftm2d.py sha256=xrDPhekE6qjZmuBgiUynV1OpksB04fV_4dZWm7XRnKk 6533
acoss/benchmark/simple_silva.py sha256=SawopWR4Vd6zRYM47MRbfd_cH6wMT-fbK1qgDaUFetc 6421
acoss/benchmark/algorithm_template.py sha256=IfN7swpJW4S89ZzrbJWgNMOVkqfKhmowZew9woPHcrw 10738
acoss/benchmark/rqa_serra09.py sha256=GxV4eI6qiTVn00LfoMfoXh-GeQ9x7JEqnjdRfuzTJJc 5024
acoss/benchmark/earlyfusion_traile.py sha256=Gl1iBelRnfEKchMTkTnRJJcUvrnC2uK_3qWAeP_ewVc 12331
acoss/benchmark/latefusion_chen.py sha256=Cj7x-XESru86hHKwUTFaNF_ob2hDPd4r2ZUkjgDhH8E 5240
acoss/benchmark/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
acoss/benchmark/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
acoss/benchmark/utils/similarity_fusion.py sha256=Md2TVENCXZVkplM5d3DcQbbm-ZKovF8SwvAZBMm-01g 7923
acoss/benchmark/utils/cross_recurrence.py sha256=eCeTiS0Yh9HgwDZ9mZ7jiieeN7Dw2IsnM1trPZUJOiE 4535
acoss/benchmark/utils/alignment_tools/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
acoss-0.0.1.dist-info/top_level.txt sha256=eOVxjP5Iiut_TuadUhNlRIr3-Tx9K07SJ5HKfhdda7I 17
acoss-0.0.1.dist-info/RECORD — —
acoss-0.0.1.dist-info/METADATA sha256=UhyjYYLWdi6D2bD-HQ9vWa00x8DEqkOxr_bAyjnS6JU 3087
acoss-0.0.1.dist-info/WHEEL sha256=d2ILPScH-y2UwGxsW1PeA2TT-KW0Git4AJ6LeOK8sQo 109

top_level.txt

acoss
pySeqAlign