# PartAfford: Part-level Affordance Discovery from 3D Objects

### Training and evaluation

```sh
# in "train.py", change the "workspace_dir" to the path to the parent folder of this folder

# dataset preparation
# in "train.py", change the "dataset_dir" to the path of dataset folder "dataset"
# unzip the pc_vox_sittable.zip (the "sittable" subset) in the "dataset"

# train the network
python -m train

# evaluation
# please set the path to the given checkpoint in the "eval.py"
python -m eval
```