1. requirements----依赖配置文件
2. ./code/Model_inference/Mix_Former(Mix_GCN)/output/../log && ./code/TE-GCN-main/workdir/2996/log ----训练日志
3. ./code/Model_inference/Mix_Former(Mix_GCN)/config/ && ./code/TE-GCN-main/config ----训练配置文件夹
1. 将国赛数据集 (名为data 的文件夹) 并放在 code/Process_data 目录下
3. 进入code/Process_data,运行:
cp -r ./Process_data/save_3d_pose Model_inference/Mix_GCN/dataset
cp -r ./Process_data/save_3d_pose Model_inference/Mix_Former/dataset
cp -r ./Process_data/data TE-GCN-main
6. 进入code/Model_Inference/Mix_GCN目录,运行代码
python main.py -config ./config/ctrgcn_V1_J_3d.yaml --phase test --save-score True --device 0
python main.py -config ./config/ctrgcn_V1_B_3d.
yaml --phase test --save-score True --device 0
python main.py -config ./config/ctrgcn_V1_JM_3d.
yaml --phase test --save-score True --device 0
python main.py -config ./config/ctrgcn_V1_BM_3d.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mstgcn_V1_B.yaml --phase test --save-score True --device 0
python main.py -config ./config/mstgcn_V1_J.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mstgcn_V1_BM.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mstgcn_V1_JM.
yaml --phase test --save-score True --device 0
python main.py -config ./config/tdgcn_V1_B.
yaml --phase test --save-score True --device 0
python main.py -config ./config/tdgcn_V1_J.
yaml --phase test --save-score True --device 0
python main.py -config ./config/tdgcn_V1_BM.
yaml --phase test --save-score True --device 0
python main.py -config ./config/tdgcn_V1_JM.
yaml --phase test --save-score True --device 0
7. 进入code/Model_Inference/Mix_Former目录,运行代码
python main.py -config ./config/mixformer_V1_JM.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mixformer_V1_J.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mixformer_V1_BM.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mixformer_V1_B.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mixformer_V1_k2M.
yaml --phase test --save-score True --device 0
python main.py -config ./config/mixformer_V1_k2.
yaml --phase test --save-score True --device 0
8.进入code/TE-GCN-main 目录,运行代码
在code/目录下得到 pred.npy 置信度文件