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jbehley avatar jbehley commented on June 22, 2024

I think the 150k points is just an upper bound that we used for the KITTI dataset (with 64 beams). Therefore, you might have to simply increase this in the configuration, e.g., https://github.com/PRBonn/lidar-bonnetal/blob/master/train/tasks/semantic/config/arch/darknet53.yaml

dataset:
labels: "kitti"
scans: "kitti"
max_points: 150000 # max of any scan in dataset
sensor:
name: "HDL64"
type: "spherical" # projective
fov_up: 3
fov_down: -25
img_prop:
width: 2048
height: 64
img_means: #range,x,y,z,signal
- 12.12
- 10.88
- 0.23
- -1.04
- 0.21
img_stds: #range,x,y,z,signal
- 12.32
- 11.47
- 6.91
- 0.86
- 0.16

from lidar-bonnetal.

zzhmx avatar zzhmx commented on June 22, 2024

I think the 150k points is just an upper bound that we used for the KITTI dataset (with 64 beams). Therefore, you might have to simply increase this in the configuration, e.g., https://github.com/PRBonn/lidar-bonnetal/blob/master/train/tasks/semantic/config/arch/darknet53.yaml我认为 150k 个点只是我们用于 KITTI 数据集(有 64 个光束)的上限。因此,您可能只需在配置中增加此设置,例如 https://github.com/PRBonn/lidar-bonnetal/blob/master/train/tasks/semantic/config/arch/darknet53.yaml

dataset:
labels: "kitti"
scans: "kitti"
max_points: 150000 # max of any scan in dataset
sensor:
name: "HDL64"
type: "spherical" # projective
fov_up: 3
fov_down: -25
img_prop:
width: 2048
height: 64
img_means: #range,x,y,z,signal
- 12.12
- 10.88
- 0.23
- -1.04
- 0.21
img_stds: #range,x,y,z,signal
- 12.32
- 11.47
- 6.91
- 0.86
- 0.16

thank you!

from lidar-bonnetal.

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