second.kitti.mmdet3d / config.json
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{
"library_name": "torch-pointcloud",
"name": "second.kitti.mmdet3d",
"task": "detection",
"hparams": {
"in_channels": 4,
"num_classes": 3,
"voxel_size": [
0.05,
0.05,
0.1
],
"point_cloud_range": [
0.0,
-40.0,
-3.0,
70.4,
40.0,
1.0
],
"anchor_sizes": [
[
0.8,
0.6,
1.73
],
[
1.76,
0.6,
1.73
],
[
3.9,
1.6,
1.56
]
],
"anchor_bottom_heights": [
-0.6,
-0.6,
-1.78
],
"feature_map_stride": 8,
"dir_offset": -1.5707963267948966,
"norm_kwargs": {
"eps": 0.001,
"momentum": 0.01
}
},
"input_keys": [
"voxel",
"pos_voxel",
"voxel_num_points",
"batch_pos_voxel"
],
"dataset": "kitti",
"metrics": {
"mAP": 65.55,
"AP/Pedestrian": 52.94,
"AP/Cyclist": 66.32,
"AP/Car": 77.39
},
"classes": [
"Pedestrian",
"Cyclist",
"Car"
],
"author": "mmdet3d",
"license": "Apache-2.0"
}