Labelme2YOLO
Labelme2YOLO is a powerful tool for converting LabelMe's JSON format to YOLOv5 dataset format. This tool can also be used for YOLOv5/YOLOv8 segmentation datasets, if you have already made your segmentation dataset with LabelMe, it is easy to use this tool to help convert to YOLO format dataset.
New Features
- export data as yolo polygon annotation (for YOLOv5 & YOLOV8 segmentation)
- Now you can choose the output format of the label text. The two available alternatives are
polygonand bounding box (bbox).
Installation
pip install labelme2yolo
Arguments
--json_dir LabelMe JSON files folder path.
--val_size (Optional) Validation dataset size, for example 0.2 means 20% for validation.
--test_size (Optional) Test dataset size, for example 0.1 means 10% for Test.
--json_name (Optional) Convert single LabelMe JSON file.
--output_format (Optional) The output format of label.
--label_list (Optional) The pre-assigned category labels.
How to Use
1. Converting JSON files and splitting training, validation datasets
You may need to place all LabelMe JSON files under labelme_json_dir and then run the following command:
labelme2yolo --json_dir /path/to/labelme_json_dir/
This tool will generate dataset labels and images with YOLO format in different folders, such as
/path/to/labelme_json_dir/YOLODataset/labels/train/
/path/to/labelme_json_dir/YOLODataset/labels/val/
/path/to/labelme_json_dir/YOLODataset/images/train/
/path/to/labelme_json_dir/YOLODataset/images/val/
/path/to/labelme_json_dir/YOLODataset/dataset.yaml
2. Converting JSON files and splitting training, validation, and test datasets with --val_size and --test_size
You may need to place all LabelMe JSON files under labelme_json_dir and then run the following command:
labelme2yolo --json_dir /path/to/labelme_json_dir/ --val_size 0.15 --test_size 0.15
This tool will generate dataset labels and images with YOLO format in different folders, such as
/path/to/labelme_json_dir/YOLODataset/labels/train/
/path/to/labelme_json_dir/YOLODataset/labels/test/
/path/to/labelme_json_dir/YOLODataset/labels/val/
/path/to/labelme_json_dir/YOLODataset/images/train/
/path/to/labelme_json_dir/YOLODataset/images/test/
/path/to/labelme_json_dir/YOLODataset/images/val/
/path/to/labelme_json_dir/YOLODataset/dataset.yaml
How to build package/wheel
pip install maturin
maturin develop
License
labelme2yolo is distributed under the terms of the MIT license.
1 maintainer
Metadata
1 maintainer
Release files for labelme2yolo 0.2.0
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Built distributions (wheels)
Total release size: 12.3 MB
Release files / labelme2yolo-0.2.0.tar.gz
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