Unstructured set of the helper functions.
Project description
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:
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
To create corrupted dataset following Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for iglovikov_helper_functions-0.0.25.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a82777a62cccd8285a380c2107edddd9d95525d07a61e5e76c50f625d66fe927 |
|
MD5 | 422ddef8798af29179aacec59e05aa15 |
|
BLAKE2b-256 | 9d4d06ff917d24ee42edc00c8c83656eb15195dd743d5cd2090a54571135f0dd |
Close
Hashes for iglovikov_helper_functions-0.0.25-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d3967053235c0576bf77915611f8b9cd0f00b215b2aced9bcb57624c0a2fa880 |
|
MD5 | a01b4e34b5ffb791d03ee25db750c256 |
|
BLAKE2b-256 | c3bad9731a030c66e9586aace518f38b957a191b2279b2d044a1e72e034f9e16 |