Lidar point cloud segmentation using pointnet
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Hi
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.
What are the lines of code ?
(once I got way to use personal data then I can upload my data for segmentation )
采纳的回答
Ranjeet
2023-4-11
0 个投票
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.
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