STEP1: bash setup1.sh
STEP2: conda activate rppg-toolbox
STEP3: bash setup2.sh
The codes are based on rPPG-toolbox
Please use config files under ./configs/train_configs
STEP 1: Download the MMPD raw data by asking the paper authors
STEP 2: Modify ./configs/train_configs/intra/0MMPD_PhysMamba.yaml
STEP 3: Run python main.py --config_file ./configs/train_configs/intra/0MMPD_PhysMamba.yaml
STEP 1: Download the UBFC raw data by asking the paper authors
STEP 2: Modify ./configs/train_configs/intra/0UBFC_PhysMamba.yaml
STEP 3: Run python main.py --config_file ./configs/train_configs/intra/0UBFC_PhysMamba.yaml
STEP 1: Download the PURE raw data by asking the paper authors
STEP 2: Modify ./configs/train_configs/intra/0PURE_PhysMamba.yaml
STEP 3: Run python main.py --config_file ./configs/train_configs/intra/0PURE_PhysMamba.yaml
STEP 1: Download the PURE raw data by asking the paper authors
STEP 2: Download the MMPD raw data by asking the paper authors
STEP 3: Modify ./configs/train_configs/cross/MMPD_PURE_PhysMamba.yaml
STEP 4: Run python main.py --config_file ./configs/train_configs/cross/MMPD_PURE_PhysMamba.yaml
STEP 1: Download the PURE raw data by asking the paper authors
STEP 2: Download the MMPD raw data by asking the paper authors
STEP 3: Modify ./configs/train_configs/cross/PURE_MMPD_PhysMamba.yaml
STEP 4: Run python main.py --config_file ./configs/train_configs/cross/PURE_MMPD_PhysMamba.yaml