Problem with visualisotion.

[shuhilya]

I use the "config.yaml" with params

'base_dir': "DATA" #The path of directory including img,pcd,out folders. 'image_res': (2736,5472) #image resolution for panoramic image only 'backend': 'opencv' #backend of detecting corners from the image, "matlab" or "opencv" 'output_img_with_dectected_corners': True #output the image with detected corners 'back_proj_corners': True #back-project the detected corners of the point cloud to the images 'camera_type': 'panoramic' #camera model: 'panoramic' or 'perspective' 'instrinsic_para': (166.87739756, 0., 311.29512622, 0., 334.91696616, 781.89612824, 0., 0.,1.) intrinsic parameters are necessary for perspective cameras (1,2,3,4,5,6,7,8,9)→　[1,2,3, 4,5,6, 7,8,9]

Parameters for segmenting the point cloud 'file_name_digits': 4 #filename format 'LiDAR_type': 'vlp16_puck' # available choices 'vlp16_puck', 'hdl32', 'hdl64' 'laser_beams_num': 16 #The number of the laser beams of the Velodyne LiDAR 'jdc_thre_ratio': 8 #The ratio of adaptive threshold for clustering scanline 'agglomerative_cluster_th_ratio': 8 #The ratio of adaptive threshold for combining the scanline cluters

Parameters for detecting chessboard from segmentation result 'pattern_size': (8,8) #number of vertical and horizontal patterns 'grid_length': 0.035 #the length of one grid of the pattern [m] 'chessboard_detect_planar_PCA_ratio': 0.05 # The threshold of the planarity check of the potential chessboard with PCA 'marker_range_limit': 2 #The farthest range of the chessboard for filtering irrelative segments. Segments whose centroid to Velodyne farther that this threshold will not be considered as a potential chessboard.

Parameters for 3D corner detection from detected chessboard point cloud segment 'start_pattern_corner': 0 #The color of the pattern in the left down of the chessboard and 0 for black 1 for white 'intensity_col_ind': 6 # The index of intensity column (counting starts from 0). !!! Wrong number will cause the failure of corner detection in pcd files.

Settings for multi-processing 'multi_proc': False #Use multiple processing 'proc_num': 2 #The number of cores to use for multiple processing 'poses_num': 7 #The number of image-laserscan pairs

Ahd when I use the script: from ILCC import utility utility.vis_back_proj(ind=1, img_style="orig", pcd_style="dis", hide_occlussion_by_marker=False) utility.vis_back_proj(ind=1, img_style="orig", pcd_style="dis", hide_occlussion_by_marker=True) utility.vis_back_proj(ind=1, img_style="edge", pcd_style="intens", hide_occlussion_by_marker=True)

I have the following result:

What is the reason of this?

[crankler]

@shuhilya Hi, when I just input

from ILCC import utility

it shows: from: can't read /var/mail/ILCC So I first input: python then input : from ILCC import utility but they says: Segmentation fault (core dumped)

can you tell me how to fix this issues? thank you!