{
  "library_name": "torch-pointcloud",
  "name": "pointnext-sm.scanobjectnn-hardest.openpoints",
  "task": "classification",
  "hparams": {
    "in_channels": 4,
    "num_classes": 15,
    "spatial_dim": 3,
    "stem_channels": 32,
    "stem_plain_last": true,
    "encoder_channels": [
      64,
      128,
      256,
      512
    ],
    "encoder_depths": [
      0,
      0,
      0,
      0
    ],
    "encoder_expansion": 4,
    "sa_layers": 2,
    "sa_use_res": true,
    "ratios": [
      0.5,
      0.5,
      0.5,
      0.5
    ],
    "radiuses": [
      0.15,
      0.225,
      0.3375,
      0.50625,
      0.759375
    ],
    "num_neighbors": [
      32,
      32,
      32,
      32,
      32
    ],
    "act": "relu",
    "act_first": false,
    "norm": "batch_norm",
    "bias": true,
    "add_self_loops": false,
    "dropout": 0.5,
    "head_channels": [
      512,
      256
    ],
    "global_sa_channels": [
      512,
      512
    ]
  },
  "input_keys": [
    "x",
    "pos",
    "batch"
  ],
  "dataset": "scanobjectnn-hardest",
  "metrics": {
    "OA": 88.17,
    "mAcc": 86.8
  },
  "classes": [
    "bag",
    "bin",
    "box",
    "cabinet",
    "chair",
    "desk",
    "display",
    "door",
    "shelf",
    "table",
    "bed",
    "pillow",
    "sink",
    "sofa",
    "toilet"
  ],
  "author": "openpoints",
  "license": "MIT"
}