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labelme2yolo
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Update README.md

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@ -12,7 +12,7 @@ Convert LabelMe Annotation Tool JSON format to YOLO text file format.
## How to Use
### Convert JSON Files, split training and validation dataset by --val_size
Run python command.
Put all LabelMe JSON files in to **labelme_json_dir**, and run this python command.
```bash
python labelme2yolo.py --json_dir /home/username/labelme_json_dir/ --val_size 0.2
```
@ -24,12 +24,18 @@ Script would generate YOLO format dataset labels and images under different fold
/home/username/labelme_json_dir/YOLODataset/images/val/
```
### Convert JSON Files, split training and validation dataset by folder
If you already split train dataset and validation dataset for LabelMe by yourself, please put these folder under labelme_json_dir, for example,
```bash
/home/username/labelme_json_dir/train/
/home/username/labelme_json_dir/val/
```
In this condition, --val_size would not work anymore. Script would read train and validation dataset by folder.
Put all LabelMe JSON files in to **labelme_json_dir**.
Script would read train and validation dataset by folder.
Run this python command.
```bash
python labelme2yolo.py --json_dir /home/username/labelme_json_dir/
```
Script would generate YOLO format dataset labels and images under different folders, for example,
```bash
/home/username/labelme_json_dir/YOLODataset/labels/train/