# yolo_format

**Repository Path**: ncwu-hy/yolo_format

## Basic Information

- **Project Name**: yolo_format
- **Description**: 将LabelImg标注的VOC数据转为Yolo格式
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-07-13
- **Last Updated**: 2023-07-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LabelImg标注VOC数据转Yolo格式

CLI说明：

1. --labeled_dir / -ld: LabelImg直接标注的后的文件夹，该文件夹内包含图像及对应的xml文件。

2. --label_list / -ll：一个文本文件，记录了检测类别，每个类别一行

3. --output_image_dir / -oimgdir: 只包含图片的文件夹

4. --output_anno_dir / -oanndir: 只包含标注txt文件的文件夹

5. --move / -mv: 若使用该参数，则将labeled_dir中的图片移动到output_image_dir，否则只复制，labeled_dir中的图片仍保留。

```shell
python labelimgvoc2yolo.py -ld D:/Datasets/bird_drone_dataset/image_voc -ll D:/Datasets/bird_drone_dataset/label_list.txt -oimgdir D:/Datasets/bird_drone_dataset/image -oanndir D:/Datasets/bird_drone_dataset/labels
```

```shell
File Name: labelimgvoc2yolo.py
Author: HY Xie
Mail: 82154915@qq.com
Created Time:  2022-07-12
Description: 
  Convert labeld dataset created directly by LableImg to yolo format
   --labeled_dir:         a directory including images and xml files, this directory is the original labeled_dir
   --label_list:          a txt file include class name, one class per line
   --output_image_dir:    a directory including image only, this directory will be created automatically if not exists
   --output_anno_dir:     a directory including annotations only, this directory will be created automatically if not exists
   --move:                if this argument is used, the images in labeled_dir will be moved to output_image_dir   
License: MIT
```