YAML Metadata Warning:The pipeline tag "3d-object-detection" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

UrbanTwin LUMPI Track โ€” Detector Checkpoints

Four OpenPCDet checkpoints for sim-to-real 3D object detection on roadside LiDAR, trained exclusively on synthetic CARLA data.

File Architecture Epoch
v1_pointpillar_archive_epoch30.pth PointPillar 30
v4_pointpillar_epoch30.pth PointPillar 30
v5_second_epoch38.pth SECOND 38
v3_pointpillar_rescaled_epoch30.pth PointPillar (geometry-rescaled data) 30

Download

huggingface-cli download Nithiishaa/urbantwin-lumpi-checkpoints --local-dir ./checkpoints

Usage

Load with OpenPCDet using the configs from the code repository, e.g. cfgs/pointpillar_lumpi_v3.yaml for v3. For full ensemble inference and submission building, run build_g.py from the code repository.

License

MIT

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