Instructions to use torch-pointcloud/second-multihead.nuscenes.openpcdet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- torch-pointcloud
How to use torch-pointcloud/second-multihead.nuscenes.openpcdet with torch-pointcloud:
import torch_pointcloud as tp model = tp.create_model("second-multihead.nuscenes.openpcdet", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download config.json from torch-pointcloud/second-multihead.nuscenes.openpcdet: direct link, hf CLI and curl.
- Browser
- Download file 1.87 kB
-
https://huggingface.co/torch-pointcloud/second-multihead.nuscenes.openpcdet/resolve/main/config.json
- Command line
-
hf download hf://torch-pointcloud/second-multihead.nuscenes.openpcdet/config.json
-
curl -L -o config.json https://huggingface.co/torch-pointcloud/second-multihead.nuscenes.openpcdet/resolve/main/config.json
1.87 kB
| { | |
| "library_name": "torch-pointcloud", | |
| "name": "second-multihead.nuscenes.openpcdet", | |
| "task": "detection", | |
| "hparams": { | |
| "in_channels": 5, | |
| "num_classes": 10, | |
| "voxel_size": [ | |
| 0.1, | |
| 0.1, | |
| 0.2 | |
| ], | |
| "point_cloud_range": [ | |
| -51.2, | |
| -51.2, | |
| -5.0, | |
| 51.2, | |
| 51.2, | |
| 3.0 | |
| ], | |
| "anchor_sizes": [ | |
| [ | |
| 4.63, | |
| 1.97, | |
| 1.74 | |
| ], | |
| [ | |
| 6.93, | |
| 2.51, | |
| 2.84 | |
| ], | |
| [ | |
| 6.37, | |
| 2.85, | |
| 3.19 | |
| ], | |
| [ | |
| 10.5, | |
| 2.94, | |
| 3.47 | |
| ], | |
| [ | |
| 12.29, | |
| 2.9, | |
| 3.87 | |
| ], | |
| [ | |
| 0.5, | |
| 2.53, | |
| 0.98 | |
| ], | |
| [ | |
| 2.11, | |
| 0.77, | |
| 1.47 | |
| ], | |
| [ | |
| 1.7, | |
| 0.6, | |
| 1.28 | |
| ], | |
| [ | |
| 0.73, | |
| 0.67, | |
| 1.77 | |
| ], | |
| [ | |
| 0.41, | |
| 0.41, | |
| 1.07 | |
| ] | |
| ], | |
| "anchor_bottom_heights": [ | |
| -0.95, | |
| -0.6, | |
| -0.225, | |
| -0.085, | |
| 0.115, | |
| -1.33, | |
| -1.085, | |
| -1.18, | |
| -0.935, | |
| -1.285 | |
| ], | |
| "head_class_groups": [ | |
| [ | |
| 0 | |
| ], | |
| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 3, | |
| 4 | |
| ], | |
| [ | |
| 5 | |
| ], | |
| [ | |
| 6, | |
| 7 | |
| ], | |
| [ | |
| 8, | |
| 9 | |
| ] | |
| ], | |
| "feature_map_stride": 8, | |
| "norm_kwargs": { | |
| "eps": 0.001, | |
| "momentum": 0.01 | |
| } | |
| }, | |
| "input_keys": [ | |
| "voxel", | |
| "pos_voxel", | |
| "voxel_num_points", | |
| "batch_pos_voxel" | |
| ], | |
| "dataset": "nuscenes", | |
| "metrics": { | |
| "mAP": 50.76, | |
| "NDS": 61.85 | |
| }, | |
| "classes": [ | |
| "car", | |
| "truck", | |
| "construction_vehicle", | |
| "bus", | |
| "trailer", | |
| "barrier", | |
| "motorcycle", | |
| "bicycle", | |
| "pedestrian", | |
| "traffic_cone" | |
| ], | |
| "author": "openpcdet", | |
| "license": "Apache-2.0" | |
| } | |