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Cliu2/MTrans

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View on GitHub↗
0 stele·0 fork-uri·4 vizualizări

MTrans

Features

  • 3D Object Detection - Multimodal transformer for 3D annotation and detection.

Istoric stele

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Alternative open-source pentru MTrans

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu MTrans.
  • open-mmlab/mmdetection3dAvatar open-mmlab

    open-mmlab/mmdetection3d

    6,273Vezi pe GitHub↗

    MMDetection3D is an open-source toolbox for 3D perception, providing a unified framework for detecting and segmenting objects in three-dimensional environments. It supports a range of core tasks including monocular 3D object detection from single camera images, LiDAR-based 3D object detection from raw point clouds, and multi-modal fusion that combines camera images with LiDAR data. The toolbox also covers point cloud semantic segmentation, assigning class labels to every point in a scan for scene understanding. The project distinguishes itself through a config-driven pipeline that orchestrate

    Python3d-object-detectionobject-detectionpoint-cloud
    Vezi pe GitHub↗6,273
  • open-mmlab/openpcdetAvatar open-mmlab

    open-mmlab/OpenPCDet

    5,621Vezi pe GitHub↗

    OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud processing framework designed to develop, train, and evaluate machine learning models that identify and locate objects in three dimensional space. The project includes a GPU-accelerated geometry engine for high-performance implementation of 3D intersection over union and rotated non-maximum suppression. It also provides a distributed model training tool to scale the training and testing of detection models across multiple GPUs and computing nodes. The framework covers point c

    Python
    Vezi pe GitHub↗5,621
  • manycore-research/spatiallmAvatar manycore-research

    manycore-research/SpatialLM

    4,596Vezi pe GitHub↗

    SpatialLM is a spatial modeling framework that uses large language models to transform monocular video and sensor data into structured indoor semantic maps. It functions as a system for indoor layout estimation and a point cloud semantic parser, converting raw geometric data into representations of architectural elements and object categories. The project aligns multi-modal sensor inputs with linguistic tokens, allowing a language model to serve as a reasoning engine for inferring room topology. It employs mechanisms to convert 3D point clouds and 2D image sequences into discrete tokens and s

    Pythonmllmpoint-cloudsscene-understanding
    Vezi pe GitHub↗4,596
  • drilistbox/3dppeD

    drilistbox/3DPPE

    0Vezi pe GitHub↗
    Vezi pe GitHub↗0
Vezi toate cele 30 alternative pentru MTrans→

Întrebări frecvente

Care sunt principalele funcționalități ale cliu2/mtrans?

Principalele funcționalități ale cliu2/mtrans sunt: 3D Object Detection.

Care sunt câteva alternative open-source pentru cliu2/mtrans?

Alternativele open-source pentru cliu2/mtrans includ: open-mmlab/openpcdet — OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud… open-mmlab/mmdetection3d — MMDetection3D is an open-source toolbox for 3D perception, providing a unified framework for detecting and segmenting… manycore-research/spatiallm — SpatialLM is a spatial modeling framework that uses large language models to transform monocular video and sensor data… drilistbox/3dppe. facebookresearch/3detr — Code & Models for 3DETR - an End-to-end transformer model for 3D object detection. dvlab-research/uvtr.