This repository is a copy from HumanSignal/labelImg. The original repository is archived and no longer being maintained. So I make a copy from the latest version (1.8.6) to modify some function and fix some error for personal use.
pip install -U mlabelImg
git clone https://github.com/PD-Mera/mlabelImg
pip install pyqt5 lxml
pyrcc5 -o mlabelImg/libs/resources.py mlabelImg/resources.qrc
pip install -e mlabelImg
Create a folder structure same as below
├── data
├── images
└── labels
Put all of your image in images
directory. And create a classes.txt
contain all class you want to label. Example of classes.txt
as below
dog
cat
pig
Put classes.txt
in 2 place, in labels
directory and same level as labels
directory
Full structure of workspace as below
├── data
├── images
│ ├── img1.jpg
│ ├── img2.jpg
│ └── ...
├── labels
│ └── classes.txt
└── classes.txt
Run mlabelImg with
# mlabelImg [IMAGE_PATH] [PRE-DEFINED CLASS FILE]
mlabelImg .\data\images\ .\data\classes.txt
On GUI of labelImg:
File -> Change Save Dir -> (save label directory)
- Choose
YOLO
format on the left tray
Next and previous image with D -> A
Label with W
Delete .\data\classes.txt
after labeling
With YOLO
format, label will be saved with format label_index x_center y_center w h
and normalize to scale [0, 1]
1 0.415842 0.863095 0.102970 0.101190
1 0.228713 0.315476 0.077228 0.053571
1 0.756436 0.328869 0.114851 0.050595
- Author: TzuTa Lin
- Author Email: tzu.ta.lin@gmail.com
- tzutalin/labelImg