-
Notifications
You must be signed in to change notification settings - Fork 10
/
getSceneData.m
107 lines (93 loc) · 5 KB
/
getSceneData.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
%{
* Copyright (C) 2013-2025, The Regents of The University of Michigan.
* All rights reserved.
* This software was developed in the Biped Lab (https://www.biped.solutions/)
* under the direction of Jessy Grizzle, grizzle@umich.edu. This software may
* be available under alternative licensing terms; contact the address above.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS AS IS AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the Regents of The University of Michigan.
*
* AUTHOR: Bruce JK Huang (bjhuang[at]umich.edu)
* WEBSITE: https://www.brucerobot.com/
%}
% path = '/home/chenxif/Documents/me590/Calibration/automatic_calibration/';
% clc, clear
% path = 'moving_bags/';
% % BagData = t_getSceneData(path,'*.bag', 4)
% BagData = t_getSceneData(path,'*.bag');
% disp("done")
function BagData = getSceneData(path, ext, scene, pair_num)
files_from_a_folder = dir(fullfile(path, ext));
if exist('scene', 'var')
if scene > length(files_from_a_folder)
error("Wrong scene number: %i/%i, scene", scene ,length(files_from_a_folder))
else
start_scene = scene;
num_scene = scene;
end
else
start_scene = 1;
num_scene = length(files_from_a_folder);
end
for scene = start_scene:num_scene
selected_file = convertCharsToStrings(path) + convertCharsToStrings(files_from_a_folder(scene).name);
RawData = getData(selected_file);
BagData(scene).meta = files_from_a_folder(scene);
BagData(scene).bagfile = convertCharsToStrings(files_from_a_folder(scene).name);
BagData(scene).array = [];
total_points = 0;
if exist('pair_num', 'var')
start_scan = pair_num;
num_scan = pair_num;
else
start_scan = 1;
num_scan = size(RawData, 1);
end
% prepare for parfor loop
scans(num_scan).num_tag = [];
scans(num_scan).image = [];
scans(num_scan).lidar_target = [];
scans(num_scan).camera_target = [];
parfor scan = start_scan : num_scan
scans(scan).num_tag.original = length(RawData{scan}.Detections);
scans(scan).num_tag.ransac_normal = scans(scan).num_tag.original;
scans(scan).num_tag.L1_inspired = scans(scan).num_tag.original;
if scans(scan).num_tag.original == 0
continue
end
scans(scan).image = getImagefromStruct(RawData{scan}.Detections(1).Image);
for i =1:scans(scan).num_tag.original
[scans(scan).lidar_target(i).payload_points,...
scans(scan).lidar_target(i).XYZIR_points ] = getPointsfromStruct(RawData{scan}.Detections(i).LidartagDetection.Points); % [x;y;z;1]
total_points = total_points + size(scans(scan).lidar_target(i).payload_points,2);
scans(scan).lidar_target(i).tag_size = RawData{scan}.Detections(i).LidartagDetection.Size;
camera_corners = [RawData{scan}.Detections(i).ApriltagDetection.OuterCorners.X
RawData{scan}.Detections(i).ApriltagDetection.OuterCorners.Y];
camera_corners = sortrows(camera_corners', 2)';
scans(scan).camera_target(i).corners = refineCameraCorners(camera_corners, scans(scan).image.image, "not display", 1);
scans(scan).camera_target(i).ransac_normal.corners = scans(scan).camera_target(i).corners; % baseline might not be able to find corners at some scan
end
end
BagData(scene).scans = scans;
BagData(scene).total_points = total_points;
clear scans;
end
end