This is the testing code for OriNet on MPI-INF-3DHP test set. Traing code will be released later.

The model was first pretrained on MPII and Human3.6M dataset and then fine-tuned on MPI-INF-3DHP training set without using any background augmentation.

The pretrained model can be downloaded here

• Torch 7
• hdf5
• cudnn

• Download the MPI-INF-3DHP dataset and annotation file and put the h5 file in data/mpi/
• Suppose that the test sequences are located in mpi-inf-3dhp/test/
• In directory src, run th test.lua -dataDir mpi-inf-3dhp -loadModel /path/to/your/model to save the results in Result.txt
• Go to directorytest_util and run evaluate.m in matlab to get the evaluation results. Remember to change the path to your annotation files. (The evaluation codes are provided by MPI-INF-3DHP dataset)

• By scenes

  | Data |  GS  | noGS | Ourdoor |  All PCK    |  All AUC
  

------|------|------|------|----------|------------|------------- Meta | 3DHP-aug | 84.6 | 72.4 | 69.7 | 76.5 | 40.8 Ours | 3DHP | 90.7 | 76.3 | 75.3 | 81.7 | 46.2

• By activities

  | Stand/ Walk | Exercies | Sit on  Chair | Crouch/ Reach | On the  Floor | Sports | Misc. | All PCK | All AUC | MPJPE
  

------|-----------|-------|-------------|-------------|-------------|--------|-------|---------|---------|------- Meta | 87.7 | 77.4 | 74.7 | 72.9 | 51.3 | 83.3 | 80.1 | 76.7 | 40.4 | 124.7 Meta | 86.6 | 75.3 | 74.8 | 73.7 | 52.2 | 82.1 | 77.5 | 75.7 | 38.3 | 117.6
Ours | 89.6 | 79.5 | ** 88.0 ** | 84.2 | 67.0 | 93.1 | 92.8 | 81.7 | 46.2 | 90.0