deeplabcut2yolo 2.2

Convert DeepLabCut dataset to YOLO format

deeplabcut2yolo

Convert DeepLabCut dataset to YOLO format,
Lightning-fast and hassle-free.

deeplabcut2yolo facilitates training DeepLabCut datasets on YOLO models. Deeplabcut2yolo automatically converts DeepLabCut (DLC) labels to COCO-like format compatible with YOLO, while providing customizability for more advanced users, so you can spend your energy on what matters!

Quick Start

import deeplabcut2yolo as d2y

d2y.convert("./deeplabcut-dataset/")

# To also generate data.yml
d2y.convert(
    dataset_path,
    train_paths=train_paths,
    val_paths=val_paths,
    skeleton_symmetric_pairs=skeleton_symmetric_pairs,
    data_yml_path="data.yml",
    class_names=class_names,
    verbose=True,
)

To install deeplabcut2yolo using pip:

pip install deeplabcut2yolo

See examples in the examples/ directory.

Contribution

You can contribute to deeplabcut2yolo by making pull requests. Currently, these are high-priority features:

• Testing module and test cases
• Documentation

Citation

Citation is not required but is greatly appreciated. If this project helps you, please cite using the following APA-style reference

Pornsiriprasert, S. (2024). Deeplabcut2yolo: A Python Library for Converting DeepLabCut Dataset to YOLO Format (Version 2.2) [Computer software]. GitHub. https://github.com/p-sira/deeplabcut2yolo/

or this BibTeX entry.

@software{deeplabcut2yolo,
    author = {{Pornsiriprasert, S}},
    title = {Deeplabcut2yolo: A Python Library for Converting DeepLabCut Dataset to YOLO Format},
    url = {https://github.com/p-sira/deeplabcut2yolo/},
    version = {2.2},
    publisher = {GitHub},
    year = {2024},
    month = {11},
}