Object Detection
TensorRT
ONNX
autoware
lidar
point-cloud
3d-object-detection
centerpoint
pointpillars
ros2
autonomous-driving
Instructions to use AutowareFoundation/lidar_centerpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use AutowareFoundation/lidar_centerpoint 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
Commit History
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Add manifest version and per-class yaw_norm_thresholds (v4.1) (#2)
- Add manifest version and per-class yaw_norm_thresholds (v4.1) (57b6864855373d501a89d2402929628eeb5a25d5) - Keep the version note free of specific numbers (a5ef9b82ac64bd297a389b7f088d96305df4abc9) - Drop deploy_metadata.yaml and keep num_checkpoint as a manifest comment (b8f8f788386a373ad589f93bfbf7f22dd6fc9fe1) - Drop the yaw_norm_thresholds comment (cbb923cb957716b96133094f9b38b0f56ca4e8a9) Co-authored-by: Taekjin Lee <Technolojin@users.noreply.huggingface.co>494c817
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Refactor to per-variant folders (base/tiny/sigma/short_range), uniform filenames (#1)
- Refactor to per-variant folders with uniform filenames (a5aaada0c1ea6db348560fb2dcfbcf61fef4030f) - Model card: model_path takes the variant folder directly (54e91671b5fa871af1d8d950b9925d71fc0b2609) - ml_package as model manifest: relative artifact names, class remapper entry (24008b3d5a146120476d78b52418836e48a0730e) - sigma: enable has_variance and has_twist to match the head outputs (665a58a46c6dc313a403c03f1fbd51c447598587) - short_range: symmetric point_cloud_range (2fa08e8452e1b9e9321c8748f7d98d2d8dad9065) - indicate model training dataset info for new models are limited (f72e91635f2601c113ba2e650e228e7f404008cb) - update node launch command and its explanation (bd80dcc36033ea91d728c2a899ee541195113b7f) - fix readme and sigma model files mode to 664 (e3ca27ff48603741652cc9e44ad463824616c893) Co-authored-by: Taekjin Lee <Technolojin@users.noreply.huggingface.co>b8b0010