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SMPL body model

  1. Download SMPL model from here.
  2. Put the model file in pkl format into the models folder.

Prepare test datasets (optional)

  1. Download DIP-IMU dataset from here.
  2. Unzip the DIP dataset and put it into data/dataset_work/DIP_IMU. The directory opens the file for processing DIP_IMU dataset in the preprocess_dataset.py file.

evaluate

You can execute the following code to get the results in the paper.

python evaluate.py weights.tar 0.6

train

If you want to retrain, can you download the AMASShere dataset and train with the following code?

python train.py -c -b 200 --epochs 300 --posenet --save-dir save_pose  --lr 5e-4 # pretrain

python train.py -c -b 200 --epochs 300 --posenet --save-dir save_pose  --lr 5e-4 -f # fineturne

live demo

Run live demo program

python live_demo.py