philip-huang/PIXOR

Problem with training on KITTI

Opened this issue · 1 comments

chowkamlee81 commented

Hi,

I started training PIXOR your implementation with a Batch_size=1.
I trained upto 40 epoch as mentioned in the code. Loaded the checkpoint 34 from trained model.
It seems that after training num_pred=0 i.e number of predictions boxes becomes zero.
Loss curves are behaving well.
Kindly provide solution if you have solved it.

seanxu889 commented

Hi, do you know what dataset is used exactly? There are many parts of the KITTI Bird's Eye View dataset. I don't know which should I download. Thank you.

Bird's Eye View Evaluation 2017:
Download left color images of object data set (12 GB)
Download right color images, if you want to use stereo information (12 GB)
Download the 3 temporally preceding frames (left color) (36 GB)
Download the 3 temporally preceding frames (right color) (36 GB)
Download Velodyne point clouds, if you want to use laser information (29 GB)
Download camera calibration matrices of object data set (16 MB)
Download training labels of object data set (5 MB)