实践
1.export PATH=~/anaconda3/bin:$PATH
2.Anaconda3 中创建新环境
Conda create –name=labelme_polyrnn_pp python=2.7
3.source activate labelme_polyrnn_pp
4.conda install pyqt
下载好labelme code(正确的分支)
cd labelme目录
mkdir src
git clone https://github.com/wkentaro/polyrnn-pp.git src/polyrnn-pp
./install_polyrnn.sh(注意tensorflow的版本只能是1.3)
pip install –upgrade –ignore-installed tensorflow==1.3
pip install -e .
cd examples/semantic_segmentation
find data_annotated -iname '*.json' -delete
labelme --labels labels.txt data_annotated