Pointnet_Pointnet2_pytorch

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Two questions about the visualiztion part.

1. pc_utils.py can not run properly. Base on the code, the reason is load_data function is not defined in ShapeNetDataLoader.py.

2. what is the functionality for the show3d_balls.py file? According to the code, is it correct that showpoints function is to show point cloud with different color according the points' gt and pred labels? Could u give a illustrated example w. gt and pred labels?

Thanks!

Two questions about the visualiztion part.

1. pc_utils.py can not run properly. Base on the code, the reason is load_data function is not defined in ShapeNetDataLoader.py.
2. what is the functionality for the show3d_balls.py file? According to the code, is it correct that showpoints function is to show point cloud with different color according the points' gt and pred labels? Could u give a illustrated example w. gt and pred labels?

Thanks!

Hi, I also meet these questions.

By the way, I change the dataset in pc_utils.py , by using the load_data in the ModelNetDataLoader.py, it works.

Two questions about the visualiztion part.

1. pc_utils.py can not run properly. Base on the code, the reason is load_data function is not defined in ShapeNetDataLoader.py.
2. what is the functionality for the show3d_balls.py file? According to the code, is it correct that showpoints function is to show point cloud with different color according the points' gt and pred labels? Could u give a illustrated example w. gt and pred labels?

Thanks!

Hi, I also meet these questions.

By the way, I change the dataset in pc_utils.py , by using the load_data in the ModelNetDataLoader.py, it works.

Thanks for your insightful answer, I will give a try.

How can I visualise the prediction results on the part segmentation testing (test_partseg.py file)?

How can I visualise the prediction results on the part segmentation testing (test_partseg.py file)?

Have you got the prediction results?

ERROR: dll = np.ctypeslib.load_library(os.path.join(BASE_DIR, 'render_balls_so'), '.')

I have trained my own model now, but it is labeled in the test, but I need help on how to predict my unlabeled data. Have you finished?