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
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
File details
Details for the file iglovikov_helper_functions-0.0.15.tar.gz.
File metadata
- Download URL: iglovikov_helper_functions-0.0.15.tar.gz
- Upload date:
- Size: 17.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.33.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e52dcbaaf5e6053474f7a590a130c4b4eda57503cb07052780fca4d4b7b72f91 |
|
| MD5 | 61a13105dc6a0b6c1fb6e8918bee6be7 |
|
| BLAKE2b-256 | d01faf70ccb1b527cc8de27217dc008bed67fec2ff9a128832b1ecf44e37f609 |
File details
Details for the file iglovikov_helper_functions-0.0.15-py2.py3-none-any.whl.
File metadata
- Download URL: iglovikov_helper_functions-0.0.15-py2.py3-none-any.whl
- Upload date:
- Size: 22.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.33.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b59a6286d694bcdfc31a5255656cbf941bcd973fab8ad1ce8e1e609900b46af8 |
|
| MD5 | 6158b93c014a58f66c774b0e53ced58d |
|
| BLAKE2b-256 | e79e0123d682c750fa09a941abc5bde509f08996fc46fd4aac60055a69bd6494 |
