# Nuscenes_images_to_yolo

**Repository Path**: Liuqihan/Nuscenes_images_to_yolo

## Basic Information

- **Project Name**: Nuscenes_images_to_yolo
- **Description**: nuscenes 转为 yolo
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2025-03-06
- **Last Updated**: 2026-08-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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

# Prepare for running
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
         
# Parameters
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.

# Hope it is useful to you !!