CenterPoint-KITTI icon indicating copy to clipboard operation
CenterPoint-KITTI copied to clipboard

Published 20 hours ago • verified publisher icon tianweiy

Kitti dataset preprocess without images

Open DJNing opened this issue 2 years ago • 4 comments

Since this is a Lidar-only object detection model, could we preprocess the data without the images? I think if we don't use the evaluation metric of 'bbox', we can ignore the infos from images, right?

Another question is, why do we only count the points inside the gt in the FOV of the image?

DJNing avatar Mar 10 '22 13:03 DJNing

Since this is a Lidar-only object detection model, could we preprocess the data without the images? I think if we don't use the evaluation metric of 'bbox', we can ignore the infos from images, right?

I think so ?

Another question is, why do we only count the points inside the gt in the FOV of the image? only these boxes are annotated

tianweiy avatar Mar 15 '22 21:03 tianweiy

Thanks for the reply, I think I've made it work now. One more question, how to change the number of target classes for the network? Can I just change the CLASS_NAMES in the network YAML directly?

DJNing avatar Mar 16 '22 12:03 DJNing

yeah, i think this should work

tianweiy avatar Mar 17 '22 01:03 tianweiy

Thanks for the reply, I think I've made it work now. One more question, how to change the number of target classes for the network? Can I just change the CLASS_NAMES in the network YAML directly?

How did you managed to preprocess the kitti dataset without the calibration images? I also have a lidar only dataset

francescofact avatar Apr 14 '22 18:04 francescofact