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        "author": "Vladimir Iglovikov",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n\n[![DeepSource](https://static.deepsource.io/deepsource-badge-light.svg)](https://deepsource.io/gh/ternaus/iglovikov_helper_functions/?ref=repository-badge)\n# An unstructured set of helper functions.\n\n## Installation\n\n`pip install -U iglovikov_helper_functions`\n\n`pip install git+https://github.com/ternaus/iglovikov_helper_functions`\n\n\n## OpenImages 2019 Challenge:\n\nTo map data from OpenImages to mmdetection:\n\n```bash\npython -m iglovikov_helper_functions.src.data_processing.open_images.instance2coco \\\n-a <path to annotation csv file> \\\n-i <path to train images> \\\n-m <path to train masks> \\\n-c <path to csv file with class description> \\\n-o train.pkl\n```\n\n## Cityscapes\n\nTo map the data to the standard format follow [How to map Cityscapes](data_processing/cityscapes/README.md)\n\n\n",
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