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1.0.0 yogo-1.0.0-py3-none-any.whl

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Project: yogo
Version: 1.0.0
Filename: yogo-1.0.0-py3-none-any.whl
Download: [link]
Size: 61049
MD5: 25acd2d4f812033afedb633c4b359eb3
SHA256: 84c9eab51081016869455b7707811539217a9da505fa84766c5f82dfdf92ec7a
Uploaded: 2024-06-23 18:11:46 +0000

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

METADATA

Metadata-Version: 2.1
Name: yogo
Version: 1.0.0
Summary: The "you only glance once" object detection model
Author-Email: Axel Jacobsen <axelnj44[at]gmail.com>, Paul Lebel <paul.lebel[at]czbiohub.org>, Ilakkiyan Jeyakumar <ilakkiyan.jeyakumar[at]czbiohub.org>
Project-Url: repository, https://github.com/czbiohub-sf/yogo
License: BSD 3-Clause License Copyright (c) 2023, Chan-Zuckerberg Biohub All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Keywords: object detection,YOGO,YOLO,deep learning,PyTorch
Requires-Python: <3.11,>=3.9
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Requires-Dist: torch (<=2.1.0,>=1.13.1)
Requires-Dist: torchmetrics[detection] (>=0.11.4)
Requires-Dist: torchvision (>=0.14.1)
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Requires-Dist: openvino-dev (==2023.0.2)
Requires-Dist: pytest (<8.0.0,>=7.4.3); extra == "dev"
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Requires-Dist: black (>=24.4.2); extra == "dev"
Requires-Dist: mypy (>=1.10.0); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2641 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.1.0)
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Tag: py3-none-any

RECORD

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yogo-1.0.0.dist-info/RECORD — —

top_level.txt

yogo

entry_points.txt

[console_scripts]
yogo = yogo.__main__:main