This is the code repository for the paper:
Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation
Kevin Lin, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun [Paper] [Demo Video]

pip install -r requiremet.txt

is developed Python 3 CUDA 10.0, CUDNN 7.4.1.5, Tensorflow 1.10.0, Keras 2.2.4

Please download the pre-trained model using the following command:

cd CDCL_human-part
fetch_data.sh

We suggest creating a new conda environment for setting up the relevant dependencies. After installing Anaconda on your machine, please run the following command:

$ conda env create -f cdcl_environment.yaml

After creating the environment, you just need to activate the environment and continue running the demo code.

$ conda activate cdcl

python train.py --help

[Usage]

python cdlc_cam.py --gpus [N] --model [mmodel name] --output_folder[output file] --scale [SCALE]