how to train the svm classifier with labelled samples

[Bzhnja]

trafficstars

Hi, Yan @yzrobot , thank you for your project. I have read your paper, in the abstract you said that

The learning framework requires a minimal set of labelled samples (e.g.
one or several samples) to initialise a classifier.

and I know you had developed the cloud_annotation_tool to label pedestrians with the loaded pcd file. I want to know that how to use these labelled examples(including the pcd file and its corresponding annotation txt file) to train the svm classifier, do you have any suggestions or clues to instruct me? Many thanks!

[yzrobot]

Hi, have you tried this? https://github.com/yzrobot/cloud_annotation_tool/tree/devel Cheers.