labelme2yolov7segmentation 2.0.1

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LabelMe2Yolov7Segmentation

This repository was designed in order to label images using LabelMe and transform to YoloV7 format for instance segmentation

Instalation

pip install labelme2yolov7segmentation

Usage

First of all, make your dataset with LabelMe, after that call to the following command

labelme2yolo --source-path /labelme/dataset --output-path /another/path

The arguments are:

• --source-path: That indicates the path where are the json output of LabelMe and their images, both will have been in the same folder
• --output-path: The path where you will save the converted files and a copy of the images following the yolov7 folder estructure

Expected output

If you execute the following command:

labelme2yolo --source-path /labelme/dataset --output-path /another/datasets

You will get something like this

datasets
├── images
│   ├── train
│   │   ├── img_1.jpg
│   │   ├── img_2.jpg
│   │   ├── img_3.jpg
│   │   ├── img_4.jpg
│   │   └── img_5.jpg
│   └── val
│       ├── img_6.jpg
│       └── img_7.jpg
├── labels
│   ├── train
│   │   ├── img_1.txt
│   │   ├── img_2.txt
│   │   ├── img_3.txt
│   │   ├── img_4.txt
│   │   └── img_5.txt
│   └── val
│       ├── img_6.txt
│       └── img_7.txt
├── labels.txt
├── test.txt
└── train.txt

Donation

If you want to contribute you can make a donation at https://www.buymeacoffee.com/tlaloc, thanks in advance