This app allows you to upload pointcloud PCD files with (or without) related images to Supervisely. The new pointloud project will be created.
Be aware that "remove files after successful import" flag is enabled by default, it will automatically remove source directory after import.
ποΈ Starting from version v1.1.1
application supports import from special directory on your local computer. It is made for Enterprise Edition customers who need to upload tens or even hundreds of gigabytes of data without using drag-ang-drop mechanism:
Team Files
-> Supervisely Agent
and find your folder there.Input files structure
Directory name defines project name, subdirectories define dataset names. Files in root directory will be moved to dataset with name "ds0
".
βΉοΈ You can download the archive with data example here.
Example 1. Import structure:
my_project
βββ xxx.pcd
βββ ds_ny
β βββ frame.pcd
βββ ds_sf
βββ kitti_0000000001.pcd
In this case the following datasets will be created:
ds_0
with a single file xxx.pcd
ds_ny
with a single file frame.pcd
ds_sf
with a single file kitti_0000000001.pcd
Example 2. Import structure:
my_project
βββ dataset_01
βββ xxx.pcd
βββ ds_ny
β βββ frame.pcd
βββ ds_sf
βββ kitti_0000000001.pcd
In this case only the one dataset dataset_01
will be created with all pointcloud files.
Example 3. PCD files with photo context:
my_project
βββ dataset_01
βββ frame.pcd
βββ kitti_0000000001.pcd
βββ related_images
βββ kitti_0000000001_pcd
βββ kitti_0000000001.png
βββ kitti_0000000001.png.json
if you want to attach photo context to pcd file just create a directory related_images
near the file.
Then create directory
As a result we will get project my_project
with 1 dataset dataset_01
. Dataset will contain 2 pointcloud files, kitti_0000000001.pcd
with related image, and frame.pcd
without related image.
Download zip archive with demo pointcloud project with related image (0.79 MB)