This script can transffer images/labels from nuimages dataset to the form that yolo requires.

1. Download the Nuscenes dataset, where you can access from https://nuscenes.org/
2. Download the nuscenes dev-kit, where you can access from https://github.com/nutonomy/nuscenes-devkit
3. Download the script from this repo
4. Create the directories in which you want to store the result, eg: |_ yolo-dataset |_ images |_ train |_ valid |_ labels |_ train |_ valid

1. --nu-root，where you put the nuscenes dataset.
2. --yl-root, where you put the yolo directories that created above.
3. --data-version, which type of data it is, eg train/val/test/mini. If you're not familiar with the operation, please try mini at first.
4. --data-type, the target directory name in point4 above, eg train/valid.
5. --processor, number of threads to deal with the data, depends on your hardware.