imagedeep-learningobject-detectiondata-annotationsannotation-processing

How to convert yolo annotations to coco format. Json?

I want to convert my labels in yolo format to coco format I have tried https://github.com/Taeyoung96/Yolo-to-COCO-format-converter And Pylabel They all have a bugs.

I want to train on detectron 2 but it fails to load the dataset because of the wrong json file.

Solution

  • You can use the globox package (disclaimer: I'm the author). This should ressemble something like:

    from pathlib import Path

import globox


def main() -> None:
  path = Path("/path/to/annotations/")  # Where the .txt files are
  save_file = Path("coco.json")

  annotations = globox.AnnotationSet.from_yolo(gts_path)
  annotations.save_coco(save_file)


if __name__ == "__main__":
    main()

    If you need to map the labels using a .name file:

    names_file = Path("/path/to/classes.names")
names = AnnotationSet.parse_names_file(names_file)
annotations.map_labels(names)

    you can check the documentation for other formats (Yolo Darknet, Yolo v8, etc.).