Lidar point cloud segmentation using pointnet

Hi

I was working on Lidar point cloud segmentation using this Example .

downloadDirectory = tempdir;

datapath = downloadSydneyUrbanObjects(downloadDirectory);

foldsTrain = 1:3;

foldsVal = 4;

dsTrain = loadSydneyUrbanObjectsData(datapath,foldsTrain);

dsVal = loadSydneyUrbanObjectsData(datapath,foldsVal);

data = read(dsTrain);

ptCloud = data{1,1};

label = data{1,2};

figure

pcshow(ptCloud.Location,[0 1 0],"MarkerSize",40,"VerticalAxisDir","down")

xlabel("X")

ylabel("Y")

zlabel("Z")

title(label)

THEY GOT LIKE THIS.

IF I WANT TO GET THIS SAME IMAGE(for inital testing) using this data .

What are the lines of code ?

(once I got way to use personal data then I can upload my data for segmentation )

Answer 1

[Ranjeet]

Hi Dayananda,

The dataset used in the example script mentioned by you and the dataset link provided are the same (Sydney-urban-object-dataset). So, the point-cloud image shown in the example script represents the dataset you provided.

Please have a look at the folder structure and elements in dataset of the example script - Point Cloud Classification Using PointNet Deep Learning - MATLAB & Simulink and compare with the dataset you provided.

You can also refer the following useful document - Getting Started with Point Clouds Using Deep Learning.