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On this page
  • Overview
  • Format description
  • Input files structure
  • Useful links

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  1. Import and Export
  2. Import
  3. Supported annotation formats
  4. Pointcloud Episodes

.PCD, .PLY, .LAS, .LAZ pointclouds

PreviousSuperviselyNextLyft

Last updated 4 months ago

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Overview

This option allows you to upload point clouds as episodes to the platform without any annotations. All items from the input directory and its subdirectories will be uploaded to a single dataset. If you need to preserve the directory structure, you can use the application from the Supervisely Ecosystem.

Format description

Supported image formats: .pcd. With annotations: No Supported annotation format: Not applicable. Grouped by: Any structure (will be uploaded to a single dataset).

Input files structure

Example data: Example data with related images:

Recommended directory structure:

📦folder (with related images)          📦folder
 ┣ 📂pointcloud                          ┣ 📂pointcloud
 ┃ ┣ 📦0000000000.pcd                    ┃ ┣ 📦0000000000.pcd
 ┃ ┣ 📦0000000001.pcd                    ┃ ┣ 📦0000000001.pcd
 ┃ ┗ 📦0000000002.pcd                    ┃ ┗ 📦0000000002.pcd
 ┣ 📂related_images                      ┗ 📜frame_pointcloud_map.json
 ┃ ┣ 📂0000000000_pcd
 ┃ ┃ ┣ 🖼️0000000000.png
 ┃ ┃ ┗ 📜0000000000.png.json
 ┃ ┣ 📂0000000001_pcd
 ┃ ┃ ┣ 🖼️0000000001.png
 ┃ ┃ ┗ 📜0000000001.png.json
 ┃ ┣ 📂0000000002_pcd
 ┃ ┃ ┣ 🖼️0000000002.png
 ┃ ┃ ┗ 📜0000000002.png.json
 ┗ 📜frame_pointcloud_map.json                   

Frames mapping file structure:

📜frame_pointcloud_map.json
{
    "0": "0000000000.pcd",
    "1": "0000000001.pcd",
    "2": "0000000002.pcd"
}

Useful links

🔁
Import Pointcloud Episodes
download ⬇️
download ⬇️
[Supervisely Ecosystem] Import Pointcloud Episodes