File size: 1,362 Bytes
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"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"
}
|