Dear Photogrammetry & Robotics Lab at the University of Bonn,
Based on KITTI Odometry Benchmark and the instructions inside RangeNet ++.
If iterate training dataset sequence 00 - 10 (sequence 08 for validation) to calculate std and mean, the result has different values compared to the config (img_means, img_stds) in the repository.
And after training 150 echos some of the categories might have better performance and you might want to recheck.
Especially some of it has 5% difference and TABEL1 would better update a new one.
I could help with this if needed :D just let me know
Dear Photogrammetry & Robotics Lab at the University of Bonn,
Based on KITTI Odometry Benchmark and the instructions inside RangeNet ++.
If iterate training dataset sequence 00 - 10 (sequence 08 for validation) to calculate std and mean, the result has different values compared to the config (img_means, img_stds) in the repository.
And after training 150 echos some of the categories might have better performance and you might want to recheck. Especially some of it has 5% difference and TABEL1 would better update a new one.
I could help with this if needed :D just let me know