compressai

View on PyPIReverse Dependencies (2)

1.2.4 compressai-1.2.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
compressai-1.2.4-cp39-cp39-macosx_11_0_x86_64.whl
compressai-1.2.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
compressai-1.2.4-cp38-cp38-macosx_10_15_x86_64.whl
compressai-1.2.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
compressai-1.2.4-cp37-cp37m-macosx_10_15_x86_64.whl
compressai-1.2.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
compressai-1.2.4-cp36-cp36m-macosx_10_14_x86_64.whl

Wheel Details

Project: compressai
Version: 1.2.4
Filename: compressai-1.2.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 319745
MD5: ca82bb951824a9b05826351af46f2656
SHA256: 7f129127d584b5bc68f526d63472e4618c9a81aff1e81d89c9c589a1f784fa82
Uploaded: 2023-01-26 06:48:14 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: compressai
Version: 1.2.4
Summary: A PyTorch library and evaluation platform for end-to-end compression research
Author: InterDigital AI Lab
Author-Email: compressai[at]interdigital.com
Home-Page: https://github.com/InterDigitalInc/CompressAI
License: BSD 3-Clause Clear License
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: torch (>=1.7.1)
Requires-Dist: torchvision
Requires-Dist: pytorch-msssim
Requires-Dist: pytest; extra == "all"
Requires-Dist: mypy; extra == "all"
Requires-Dist: furo; extra == "all"
Requires-Dist: pytest-cov; extra == "all"
Requires-Dist: flake8-bugbear; extra == "all"
Requires-Dist: jupyter; extra == "all"
Requires-Dist: sphinx; extra == "all"
Requires-Dist: black; extra == "all"
Requires-Dist: flake8-comprehensions; extra == "all"
Requires-Dist: flake8; extra == "all"
Requires-Dist: ipywidgets; extra == "all"
Requires-Dist: plotly; extra == "all"
Requires-Dist: isort; extra == "all"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: plotly; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: flake8-bugbear; extra == "dev"
Requires-Dist: flake8-comprehensions; extra == "dev"
Requires-Dist: isort; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: furo; extra == "doc"
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: plotly; extra == "test"
Requires-Dist: jupyter; extra == "tutorials"
Requires-Dist: ipywidgets; extra == "tutorials"
Provides-Extra: all
Provides-Extra: dev
Provides-Extra: doc
Provides-Extra: test
Provides-Extra: tutorials
License-File: LICENSE
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: false
Tag: cp39-cp39-manylinux_2_17_x86_64
Tag: cp39-cp39-manylinux2014_x86_64

RECORD

Path Digest Size
compressai-1.2.4.dist-info/METADATA sha256=30BY5NXRlfaif7m3PqHpvj5NgCft6XXXAbITOsCBytU 2275
compressai-1.2.4.dist-info/WHEEL sha256=D79CBkaJekx7HMK1NaBe_KU1GVla4HlolbFXT3at6fg 148
compressai-1.2.4.dist-info/RECORD
compressai-1.2.4.dist-info/top_level.txt sha256=eakR5AFQRvCuJN3rcCQUk4S4ZEZmp_3XUY0wIWNwNkA 11
compressai-1.2.4.dist-info/LICENSE sha256=xgumMQK3pnx18NxKsdWR81xrCP0oDmPVEe5eS5nOETg 1674
compressai/version.py sha256=INCtEuyq4StqVu2emoLAz8yhwdEe6TGqg76WWazcd6Q 46
compressai/_CXX.cpython-39-x86_64-linux-gnu.so sha256=XbLt6_MrFUHGuIuqtZ7rilEyzPXg0iD1-YSYEo5YzH0 242760
compressai/__init__.py sha256=YPLRSLGDoBY6syX-JBvMpzsnBiadTek_y3W_zsNdEoQ 3238
compressai/ans.cpython-39-x86_64-linux-gnu.so sha256=mKrpr57SukNc2QFQoBYtj9Jawg_htc0iz_3y5yn_4z8 301240
compressai/registry/torch.py sha256=mE50Wm1gi_Hl_-b6zcTM3s0rYfXKXasl6JYUxRjyMww 4030
compressai/registry/__init__.py sha256=P5bbLupqcxql33Z4Ua933UF7T6lkPGq65c0ocWbIDrg 2278
compressai/registry/torchvision.py sha256=OaNKRUguLfnCDx5ifchFVOLa4_64EhsNkUZ1Qlx4jpk 1909
compressai/models/base.py sha256=Zj4qQm_A7nxcWnuD_t8vhzF_oUL900PW_qytFjnx7rc 6079
compressai/models/priors.py sha256=FzoIgPiBUpuyQDCNlLp073kYGPk8m-yZdA4mw9ObHpk 1896
compressai/models/waseda.py sha256=FADNr_Idpz7BMpt0YJFKWjnMW1LT6wbhZeg62ILpTXE 5707
compressai/models/google.py sha256=J61ospCfexsj4HeLp_O0aE_WWBKaCkJEdzO2CPHV_g0 27797
compressai/models/__init__.py sha256=R90wy10s3NjMlijJfhxKUrx29qiqFHLhD5MvdVbBB9U 1782
compressai/models/utils.py sha256=Qvxt3RZYYsa3KyuO6UfrSoH4LTJcdQKewU_Z3EQLi9s 6578
compressai/models/video/google.py sha256=u54DakrGwgHqNSLLSCqlWIbx44969iMnZR3PZOIvLjo 16991
compressai/models/video/__init__.py sha256=dZb213EebTGkPzX389EVCkQl6IwY_jy_FgreCQitBeQ 1740
compressai/layers/gdn.py sha256=rZj_fxismKoKntg4P7nz0TqVlZZGACa_Mh36-zOJ8zg 4084
compressai/layers/__init__.py sha256=E5fhiR5ZrHr6_8apV0srFqsNrBAhrhIQ5C__-M8pAhM 1759
compressai/layers/layers.py sha256=uk0niB7K376XnEFFX-AD-dALvAFabJyqqH7ChGdDCM0 9727
compressai/utils/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/plot/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/plot/__main__.py sha256=hizpqq66Ym36mzMmvo2azNBoQWUK-TIwFiAYHwdbTug 6489
compressai/utils/find_close/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
compressai/utils/find_close/__main__.py sha256=rQOA-WOMWghtx2VV3EStD5zoJMC9Y8ExA4Lh9Dm2Rd4 5072
compressai/utils/eval_model/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/eval_model/__main__.py sha256=Jb6Gy4M7eOV9Rn2LlPcFMcDo1SI2qYQw_Gpsg12RA8M 13376
compressai/utils/video/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/video/plot/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/video/plot/__main__.py sha256=Ox48-EcY_GhqHNvpw3mPJ1GuqCsiv_tlOA5yDBToslk 6591
compressai/utils/video/eval_model/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/video/eval_model/__main__.py sha256=YYPDK0RbPGG6MaA53HRiK-SUVjJ3wmx6Rrd2N0C4Wc4 19407
compressai/utils/video/bench/codecs.py sha256=gklSh2aEnwy1KPr9Rrc8EZcmqiNpezpf8wPgdgxh1XA 12725
compressai/utils/video/bench/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/video/bench/__main__.py sha256=IMW_A86ALnvvhJKkoMLMZaLwB2nYsL2hOKeHcHSBsFY 11987
compressai/utils/update_model/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/update_model/__main__.py sha256=9HY1tMTHj34H0PEarpmA4f1wmx8wvfs6hX21PUh2tVY 5459
compressai/utils/bench/codecs.py sha256=k5uy-cU4Nk-SUNNIug-SEAvnVwgb7PRY1z6PXOPJG38 24653
compressai/utils/bench/__init__.py sha256=NfG4Tk_0IvQPebPHrLEGYLPObqYJ0_Se7jUn-gfb0JA 1717
compressai/utils/bench/__main__.py sha256=FquvPgdqHwwGeda02nKBkd6onvtXo05BSWEwwhm0D8k 5303
compressai/losses/__init__.py sha256=QuYgD2tF6sSWL89P6hEiqJOYYkfjFe427qS_d0DkRPM 1807
compressai/losses/rate_distortion.py sha256=8x8H-RWpEQUB6tPqkSFPA4Ku6-VKZu9xPz4Rsc6vPN0 2547
compressai/datasets/image.py sha256=FM5l326bapOab3Z0QQNmnIcApxYFwjNf6KEgNPOYL20 3200
compressai/datasets/video.py sha256=s6Aq_N03MAR4KDiY775CiW4fyZ-VYWAJVE0jRfgRTQc 4842
compressai/datasets/rawvideo.py sha256=64HemKoEZcxqjMM4tsAz94ZH83vDI2HVUTiG--ffeoQ 10503
compressai/datasets/__init__.py sha256=FQ-QFVYL1Vc4HaD72MLUv4sLy8mRl6IpGTtFKcRweBw 2003
compressai/datasets/pregenerated.py sha256=GD-0c5L44wKRvfVsr4ZHOv2NWNbYghqVE2DmpH4k4wQ 3924
compressai/datasets/vimeo90k.py sha256=_d39J_ec2JExopdzgROarLsFilMdzxjjLwNxS-0_7UE 3896
compressai/transforms/functional.py sha256=Y1m018fzJL4k2ASxygm510E9yKumof0tCZ9hUwGu2yM 4008
compressai/transforms/__init__.py sha256=pMJzukA_cZnJCNZaFKKv7wpZUjoWjfNFSlt1QHUDQaQ 1744
compressai/transforms/transforms.py sha256=WItd-oH2242z14HAR2k5CeWaCgca4Ac2LR7MHYDv4JA 3308
compressai/typing/torch.py sha256=MwhYP0j4YfxqC3MRU82kwKNv3yGSIEoM035TPZ8yo2U 2136
compressai/typing/__init__.py sha256=IjB16s_5Jy6dq2FZsTkvJn-BdGWw-TcEHkFI5YpLjGI 1978
compressai/entropy_models/entropy_models.py sha256=zRTnrALjVN9rlTZkU1jzk1hlrWTnVptvi3_vzBkn1_w 24761
compressai/entropy_models/__init__.py sha256=w_o9bUywScGQrXJt21udOPnXB5dZPqX0mlw0oP3Ng5E 1886
compressai/zoo/image.py sha256=A5HqZJCe5xkHFN4pavKDarp-9Fnq1INuDcwRwZKzY00 18527
compressai/zoo/video.py sha256=ivgoVXHfZ83RzmalLXhrWu-sGPhsp2kbYIAuCS2JAtA 4681
compressai/zoo/pretrained.py sha256=ptwq5-Ahn5bP9mF3zgSKQXKfj_OCOPlgfw_-Bb2F0V4 2750
compressai/zoo/__init__.py sha256=XgpSlTZnpTbcC9F-tdRrNxK88S7Q0S6ZdAF7NvRYX48 2414
compressai/ops/ops.py sha256=ygCz2ByFxH8eMDltD-n9SjSiaRVUGxp9vAewaOskSOQ 3130
compressai/ops/bound_ops.py sha256=IdMDl-rMxxC8P7zVsgeMakIcdH5XfH5gQhMmGJnTKdU 3102
compressai/ops/__init__.py sha256=zD1eM96DMu4y6skIjJlz0jpX3XEaxZ6BMu8gWY6KU3E 1957
compressai/ops/parametrizers.py sha256=mqi8QG8ZNNtl8aIu1hujAoDpcZ8nDjAiVcWKMRBjCgs 2634
compressai/optimizers/net_aux.py sha256=fpiirOMMHUWbpLrTVnRKsiYq86jJK2LqDHTDovG2pN0 3184
compressai/optimizers/__init__.py sha256=NnK7lFa-yqdfYWN7n4tlkSMXKl7kyjOL8cKxtgGOVBw 1797

top_level.txt

compressai