second.pytorch
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How to retrain on my own 16velodyne data
Hi, you did a very great job, but when I use your pre-trained model to predict my own 16-vlp data, including retrained kitti data, the result is not good. My velodyne installation height is 1.6m, and did not modify the parameters in the second configuration file. So I hope you can give me some suggestions:
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Do I need to modify any configuration to apply to 16-vlp data?
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If I want to train my 16-vlp data, how to rewrite a class to modify the data loader, there is no general idea and method(I only have velodyne annotation data).
very appreciate:)
@khanln Do you find answer for your questions?
i want to train mu 16-vlp data too ,can you tell me you email
@MaAmini @khanln Hi, do you guys find some way to solve this problem?