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pointclouds

37 results found

3D Point Cloud labeling tool

complete solution for LiDAR annotation with photo context

3D Point Cloud Episodes labeling tool

complete solution for LiDAR episodes annotation with photo context

Clone

Clone project or dataset to selected workspace or project, works with all project types: images / videos / 3d / dicom

Import Point Clouds PCD

Import point clouds in PCD format without annotations

Export only labeled items

Export only labeled items and prepares downloadable tar archive

Export pointclouds project in Supervisely format

Export pointclouds project and prepares downloadable tar archive

Import Point Cloud Episodes

Import Point Cloud Episodes in Supervisely format with Annotations and Photo context

Export Point Cloud Episodes in Supervisely format

Export project or dataset in Supervisely point cloud episode format

Import Point Clouds PLY

Import point clouds without annotations in .ply format from Team Files

Apply 3D Detection to Pointcloud Project

Run 3D Detection and tracking algorithm on pointclouds or pointcloud episodes project

Export to KITTI 3D

Converts Supervisely Pointcloud format to KITTI 3D

Import Point Cloud Project

Import Point Cloud Project with Annotations and Photo context in Supervisely format

Split datasets

Split one or multiple datasets into parts

Serve MMDetection3D

Deploy model as REST API service

Import KITTI 3D

Converts KITTI 3D format to Supervisely point cloud format

Export Items After Review

Export items after the passing labeling job review

Train MMDetection3D

Dashboard to configure, start and monitor training

Import LAS/LAZ format

Import LAS/LAZ format files to Supervisely 3D point cloud labeling tool

3D BBox Interpolation

Deploy interpolation method as REST API service

Convert Point Clouds project to Episodes

Creates sequence of connected point clouds with tracklets

Export Point Clouds to ROS Bag

Export Pointclouds and Pointcloud episodes to ROS Bag format

3D AI assistant

3D AI assistant

Deploy labeling assistant for 3D point clouds as REST API service

Import KITTI-360

Import Point Cloud Episodes from KITTI-360 format

MBPTrack 3D Point Cloud Tracking

Deploy MBPTrack as REST API service

Project 3D statistics

Detailed statistics for all classes in pointcloud or episodes project

Train MMDetection3D v1.x

Train MMDetection3D for detection on Point Clouds data

Serve MMDetection3D v1.x

Deploy MMDetection3D models to detect objects in Point Clouds

Create project from template

Create a new empty project with a meta of original project

Download Project Meta

Download project meta of Supervisely project for any modality.

Export Point Clouds to NuScenes

Export Pointclouds and Pointcloud Episodes to NuScenes format

Export Point Cloud Episodes to SemanticKITTI

Export Point Cloud Episodes to SemanticKITTI format with semantic labels

Demo point cloud project

30 point clouds without annotations

Demo point cloud project with labels

30 point clouds with annotations

Demo KITTI point cloud episodes annotated

Demo KITTI point cloud episodes annotated

Demo project with point cloud episodes from KITTI dataset with labels

Demo LYFT 3D dataset

Demo LYFT 3D dataset

Demo project with point cloud episodes from LYFT 3D dataset without labels

Demo LYFT 3D dataset annotated

Demo LYFT 3D dataset annotated

Demo project with point cloud episodes from LYFT 3D dataset with labels

Demo KITTI point cloud episodes

Demo KITTI point cloud episodes

Demo project with point cloud episodes from KITTI dataset without labels