git clone https://github.com/liruilong940607/mint --recursive

conda create -n mint python=3.7
conda activate mint
conda install protobuf numpy
pip install tensorflow absl-py tensorflow-datasets librosa

sudo apt-get install libopenexr-dev
pip install --upgrade OpenEXR
pip install tensorflow-graphics tensorflow-graphics-gpu

git clone https://github.com/arogozhnikov/einops /tmp/einops
cd /tmp/einops/ && pip install . -U

git clone https://github.com/google/aistplusplus_api /tmp/aistplusplus_api
cd /tmp/aistplusplus_api && pip install -r requirements.txt && pip install . -U

protoc ./mint/protos/*.proto

python tools/preprocessing.py \
    --anno_dir="/mnt/data/aist_plusplus_final/" \
    --audio_dir="/mnt/data/AIST/music/" \
    --split=train
python tools/preprocessing.py \
    --anno_dir="/mnt/data/aist_plusplus_final/" \
    --audio_dir="/mnt/data/AIST/music/" \
    --split=testval

python trainer.py --config_path ./configs/fact_v5_deeper_t10_cm12.config --model_dir ./checkpoints

# caching the generated motions (seed included) to `./outputs`
python evaluator.py --config_path ./configs/fact_v5_deeper_t10_cm12.config --model_dir ./checkpoints
# calculate FIDs
python tools/calculate_scores.py

@inproceedings{li2021dance,
  title={AI Choreographer: Music Conditioned 3D Dance Generation with AIST++},
  author={Ruilong Li and Shan Yang and David A. Ross and Angjoo Kanazawa},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  year = {2021}
}