mlcpl 0.1.3

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mlcpl: A Python Package for Deep Multi-label Image Classification with Partial-labels on PyTorch

(This is the Introduction part of the package. It will be filled after the paper is published.

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Requirements

This mlcpl package requires Python having a minimum version of 3.8.20. Additionally, it also requires the following packages:

• "Cython==0.29.33",
• "lvis==0.5.3",
• "pandas==1.5.2",
• "protobuf==3.20.1",
• "pycocotools>=2.0.7",
• "tensorboard>=2.14.0",
• "torch>=1.13.1",
• "torchmetrics>=1.5.2",
• "torchvision>=0.14.1",
• "xmltodict==0.13.0"

These requirements should be automatically installed when installing the mlcpl package.

Installation

The mlcpl package can be easily installed via the Python package index (PyPI). For example:

# with pip
pip install mlcpl

# or with uv
uv add mlcpl

Once the package is installed, it should be able to be used by calling:

import mlcpl