Object Detection
TensorRT
ONNX
autoware
ros2
autonomous-driving
lidar
point-cloud
3d-object-detection
semantic-segmentation
point-transformer
Instructions to use AutowareFoundation/ptv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use AutowareFoundation/ptv3 with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| /**: | |
| ros__parameters: | |
| encoder: | |
| point_cloud_range: [-122.88, -122.88, -3.0, 122.88, 122.88, 5.0] | |
| voxel_size: [0.12, 0.12, 0.12] | |
| serialization_orders: ["z", "z-trans"] | |
| pooling_strides: [2, 2, 2, 2] | |
| enc_channels: [32, 64, 128, 256, 512] | |