**This is an experimental project , embedding mobilenet detector on labelimg
- Visual Studio 2013 or 2015
- CMake 3.4 or higher (Visual Studio and Ninja generators are supported)
- Anaconda (python2.7)
- PyQt4
> git clone https://github.com/eric612/AutoLabelImg.git --recursive
> conda install -c anaconda pyqt=4
> pip install -i https://pypi.anaconda.org/ales-erjavec/simple pyqt4
> (Option) pip install lxml
> (Option) pip install opencv (or use anaconda navigator to install)
> (Option) pip install scikits-image (or use anaconda navigator to install)
> (Option) pip install protobuf
Download pre-train weights from original web and save at
$caffe_root\models\MobileNet\
> cd $caffe_root\script\
> build_win.cmd
> cd $AutoLabelImg_root\
> pyrcc4 -o resources.py resources.qrc
- Python labelimg.py
- click button "Change Save Dir" , and select your xml folder.
- click button "Open Dir" and select image folder (example image : caffe/data/VOC0712)
