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data_preparing.yaml
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/
data_preparing.yaml
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# This file is covered by the LICENSE file in the root of this project.
# Developed by: Xieyuanli Chen
# Configuration for preparing residual images (specifying all the paths)
# --------------------------------------------------------------------
# General parameters
# number of frames for training, -1 uses all frames
num_frames: -1
# plot images
debug: False
# normalize/scale the difference with corresponding range value
normalize: True
# use the last n frame to calculate the difference image
num_last_n: 1
# Inputs
# the folder of raw LiDAR scans
scan_folder: 'data/sequences/08/velodyne'
# ground truth poses file
pose_file: 'data/sequences/08/poses.txt'
# calibration file
calib_file: 'data/sequences/08/calib.txt'
# Outputs
# the suffix should be the same as num_last_n!
residual_image_folder: 'data/sequences/08/residual_images_1'
visualize: True
visualization_folder: 'data/sequences/08/visualization_1'
# range image parameters
range_image:
height: 64
width: 2048
fov_up: 3.0
fov_down: -25.0
max_range: 50.0
min_range: 2.0