LabelImg

基于LabelImg修改而来的任意四边形目标标注软件。

Python + Qt 编写， 支持Linux、Windows、MacOS。

标注结果以json格式保存。

同时针对车牌标注问题，有以下主要改进：

1. 无需任何多余操作，双击下一张直接开始标注。
2. 标注好区域后，会自动尝试识别车牌颜色（极端情况可能会识别错误）。

安装方式

Linux/Ubuntu/Mac

requires at least Python 2.6__ and has been tested with PyQt 4.8

Ubuntu Linux

Python 2 + Qt4

sudo apt-get install pyqt4-dev-tools
sudo pip install lxml
make qt4py2
python labelImg.py
python labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Python 3 + Qt5

sudo apt-get install pyqt5-dev-tools
sudo pip3 install lxml
make qt5py3
python3 labelImg.py
python3 labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

macOS

Python 2 + Qt4

brew install qt qt4
brew install libxml2
make qt4py2
python labelImg.py
python  labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Python 3 + Qt5 (Works on macOS High Sierra)

brew install qt  # will install qt-5.x.x
brew install libxml2
make qt5py3
python labelImg.py
python  labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

NEW Python 3 Virtualenv + Binary
This avoids a lot of the QT / Python version issues, and gives you a nice .app file with a new SVG Icon in your /Applications folder. You can consider this script: build-tools/build-for-macos.sh

brew install python3
pip install pipenv
pipenv --three
pipenv shell
pip install py2app
pip install PyQt5 lxml
make qt5py3
rm -rf build dist
python setup.py py2app -A
mv "dist/labelImg.app" /Applications

Windows

Download and setup Python 2.6 or later <https://www.python.org/downloads/windows/>, PyQt4 <https://www.riverbankcomputing.com/software/pyqt/download> and install lxml <http://lxml.de/installation.html>__.

Open cmd and go to the labelImg <#labelimg>__ directory

pyrcc4 -o resources.py resources.qrc
python labelImg.py
python labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Windows + Anaconda

Download and install Anaconda <https://www.anaconda.com/download/#download>__ (Python 3+)

Open the Anaconda Prompt and go to the labelImg <#labelimg>__ directory

conda install pyqt=5
pyrcc5 -o resources.py resources.qrc
python labelImg.py
python labelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

License

`Free software: MIT license <https://github.com/tzutalin/labelImg/blob/master/LICENSE>`_

Citation: Tzutalin. LabelImg. Git code (2015). https://github.com/tzutalin/labelImg

Related

1. ImageNet Utils <https://github.com/tzutalin/ImageNet_Utils>__ to download image, create a label text for machine learning, etc
2. Use Docker to run labelImg <https://hub.docker.com/r/tzutalin/py2qt4>__
3. Generating the PASCAL VOC TFRecord files <https://github.com/tensorflow/models/blob/4f32535fe7040bb1e429ad0e3c948a492a89482d/research/object_detection/g3doc/preparing_inputs.md#generating-the-pascal-voc-tfrecord-files>__
4. App Icon based on Icon by Nick Roach (GPL) https://www.elegantthemes.com/ https://www.iconfinder.com/icons/1054978/shop_tag_icon __