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How to label point clouds for semantic segmentation?

Open TuanNguyenSKKU opened this issue 3 years ago • 3 comments

Hi everyone,

Can you suggest me an effective tool to label point clouds for semantic segmentation? I have already had a point cloud file with 6 columns (XYZ & RGB), and now I want to add one last column as label.

Thank you very much.

TuanNguyenSKKU avatar Jul 15 '22 00:07 TuanNguyenSKKU

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hongzhiqiang67 avatar Aug 20 '22 06:08 hongzhiqiang67

Hello, have you implemented your own data set training, can I ask you some questions, my WeChat 18337571229

hongzhiqiang67 avatar Aug 20 '22 06:08 hongzhiqiang67

You don't need to add the Label Mannually.. the indoor3d_util.py will add the labels for you. see.. points = np.loadtxt(f) labels = np.ones((points.shape[0],1)) * g_class2label[cls] // 6 featue to 7 feature points_list.append(np.concatenate([points, labels], 1)) # Nx7

bhagatdas avatar Sep 16 '22 06:09 bhagatdas

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wangsale avatar Mar 09 '23 01:03 wangsale

You don't need to add the Label Mannually.. the indoor3d_util.py will add the labels for you. see.. points = np.loadtxt(f) labels = np.ones((points.shape[0],1)) * g_class2label[cls] // 6 featue to 7 feature points_list.append(np.concatenate([points, labels], 1)) # Nx7

Hi, did you try implementing PointNet++ on own dataset?

SiddhikaArun avatar Jun 19 '23 01:06 SiddhikaArun