Metadata-Version: 2.1
Name: iglovikov_helper_functions
Version: 0.0.27
Summary: Unstructured set of the helper functions.
Home-page: https://github.com/ternaus/iglovikov_helper_functions
Author: Vladimir Iglovikov
License: MIT
Description: [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
        
        [![DeepSource](https://static.deepsource.io/deepsource-badge-light.svg)](https://deepsource.io/gh/ternaus/iglovikov_helper_functions/?ref=repository-badge)
        # An unstructured set of helper functions.
        
        ## Installation
        
        `pip install -U iglovikov_helper_functions`
        
        `pip install git+https://github.com/ternaus/iglovikov_helper_functions`
        
        
        ## OpenImages 2019 Challenge:
        
        To map data from OpenImages to mmdetection:
        
        ```bash
        python -m iglovikov_helper_functions.src.data_processing.open_images.instance2coco \
        -a <path to annotation csv file> \
        -i <path to train images> \
        -m <path to train masks> \
        -c <path to csv file with class description> \
        -o train.pkl
        ```
        
        ## Cityscapes
        
        To map the data to the standard format follow [How to map Cityscapes](data_processing/cityscapes/README.md)
        
        ## To create corrupted dataset following [Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming](https://arxiv.org/abs/1907.07484)
        
        [Readme](iglovikov_helper_functions/data_parsing/corrupt_dataset/README.md)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: test
