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-0.0.22.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 06967f67da81172376579c39ce03a1439f25b619359848cc93fa642bd37eb29a |
|
MD5 | 4f1f4f08fd3f1f35b0b5dd400325f384 |
|
BLAKE2b-256 | 0479ed46926a3f750e2eae2e2c5fd6cc21e9f999494349a37fb5c590a4f9fba8 |
Close
Hashes for iglovikov_helper_functions-0.0.22-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 309e6e4e829cc6ab121003c49ce2f1927f2acb57a2e4dde3eb535d156bbee0e9 |
|
MD5 | 0deb93f10f63239b70811ed200610dd3 |
|
BLAKE2b-256 | 2ddf498bf325d68d114e63d547ae6dd04e21287db54167efa0aceb3161d0656f |