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vhcalc

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0.8.0 vhcalc-0.8.0-py3-none-any.whl

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Project: vhcalc
Version: 0.8.0
Filename: vhcalc-0.8.0-py3-none-any.whl
Download: [link]
Size: 22823
MD5: 99dc7d4ce9fcf43a3948a04224c94a9e
SHA256: 2f30f875e58ec67803c2bdbb68d307e5dc8d2bc49cf99cac411307c7d8038ef9
Uploaded: 2024-10-04 13:14:17 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: vhcalc
Version: 0.8.0
Summary: It's a client-side library that implements a custom algorithm for extracting video hashes (fingerprints) from any video source.
Author: Lionel Atty
Author-Email: yoyonel[at]hotmail.com
Home-Page: https://github.com/yoyonel/vhcalc
Project-Url: Repository, https://github.com/yoyonel/vhcalc
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.9,<4.0
Requires-Dist: Distance (<0.2.0,>=0.1.3)
Requires-Dist: ImageHash (<5.0.0,>=4.3.1)
Requires-Dist: Pillow (>=9.1.1)
Requires-Dist: bitstring (<5.0.0,>=4.2.3)
Requires-Dist: click (<9.0.0,>=8.1.7)
Requires-Dist: click-pathlib (<2021.0.0,>=2020.3.13)
Requires-Dist: colorama (<0.5.0,>=0.4.6)
Requires-Dist: imageio-ffmpeg (<0.6.0,>=0.5.1)
Requires-Dist: loguru (<0.8.0,>=0.7.2)
Requires-Dist: numpy (<3.0.0,>=2.0.2)
Requires-Dist: pymediainfo (>=6.1.0)
Requires-Dist: rich (<14.0.0,>=13.8.0)
Requires-Dist: rich-click (<2.0.0,>=1.8.3)
Requires-Dist: typeguard (<5.0.0,>=4.3.0)
Requires-Dist: types-setuptools (<75.0.0.0,>=74.0.0.20240830)
Description-Content-Type: text/markdown
[Description omitted; length: 7777 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.9.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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vhcalc/models/__init__.py sha256=Paq9Sjh68lT_EJbjpRWtQ8li0ifeYC5VZFvyshxRPo0 212
vhcalc/models/imghash_function.py sha256=DhIaQXCJjNlyd-QjI6ENlUgLjGmrt-Ma7LTCMYjzRiI 1553
vhcalc/models/metadata.py sha256=bE9A2BMq1X-tKxXzvyfpguWUC9gQZJ6cKMi6n9g4C-A 117
vhcalc/models/url.py sha256=Cv0pipUQco2Ot8G2xwZ5gmJsx--UnHicLzHRwGwUJYM 246
vhcalc/services/__init__.py sha256=TyIGn30wVvB58CB1fjdBs6HyMQFShkw-8ZImBVcQyE8 181
vhcalc/services/imghashes.py sha256=n4k0LVnW8p4ZruivzSfQui3og5WzErDweEKJuCYdF0Q 5459
vhcalc/services/reader_frames.py sha256=zbqMBiszLaAAJgou3_NQ7SYFNRw--cDey6a9jSu3mMg 3360
vhcalc/tools/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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vhcalc/tools/forked/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
vhcalc/tools/forked/click_default_group.py sha256=BVJPp_FOttcmAnFRuoIdCc97bvrUfd00dYsMca4xM-A 4965
vhcalc/tools/forked/click_path.py sha256=VQqcgOUSJ8zeH7_wP-GXzQdgoxDn6aioNyf7-Liuiws 3126
vhcalc/tools/forked/imageio_ffmpeg_io.py sha256=h_6oNBbCzLamz1QxNg81NTf4KAHvRdqmUGl6ke1UYsE 18565
vhcalc/tools/imghash.py sha256=mZOMFDd7dg7jXXdrS2YOqYx_t4-JbXq-eAv-gkhehOg 3548
vhcalc/tools/progress_bar.py sha256=rzmkNQ-jcrgODy75QZ5MR4GG1GeyTXOpqc0gthGoqlI 1396
vhcalc/tools/version_extended_informations.py sha256=0r_Gor0EhDaEKtRUmXtxPN-9zz9K0eLKYQRO9OAkgcI 1553
vhcalc-0.8.0.dist-info/LICENSE sha256=d3CIsG6X1HqNB1on6WmQl3BD8KRqizL41R6DGrXcvVQ 1069
vhcalc-0.8.0.dist-info/METADATA sha256=VSQUIkRRYs2TTKY3XsDduMFH_8Az1ipzKqVQ1VPGMlU 9142
vhcalc-0.8.0.dist-info/WHEEL sha256=sP946D7jFCHeNz5Iq4fL4Lu-PrWrFsgfLXbbkciIZwg 88
vhcalc-0.8.0.dist-info/entry_points.txt sha256=iofds9jfCcZVzDdcIOqG5qUxuJ6QDdlSnGfwfzAbLjA 142
vhcalc-0.8.0.dist-info/RECORD — —

entry_points.txt

[console_scripts]
export_imghash_from_media = vhcalc.app:export_imghash_from_media
vhcalc = vhcalc.app:cli
vhcalc-mediainfo = vhcalc.app:mediainfo