145 lines
3.5 KiB
Python
Executable File
145 lines
3.5 KiB
Python
Executable File
#!/usr/bin/env python3
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#
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# BSD 3-Clause License
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#
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# This file is part of the Basalt project.
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# https://gitlab.com/VladyslavUsenko/basalt.git
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#
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# Copyright (c) 2019-2021, Vladyslav Usenko and Nikolaus Demmel.
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# All rights reserved.
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#
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import sys
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import math
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import numpy as np
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import os
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from string import Template
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import cv2
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import argparse
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parser = argparse.ArgumentParser(description='Convert KITTI calibration to basalt and save it int the dataset folder as basalt_calib.json.')
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parser.add_argument('-d', '--dataset-path', required=True, help="Path to the dataset in KITTI format")
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args = parser.parse_args()
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dataset_path = args.dataset_path
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print(dataset_path)
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kitti_calib_file = dataset_path + '/calib.txt'
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calib_template = Template('''{
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"value0": {
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"T_imu_cam": [
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{
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"px": 0.0,
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"py": 0.0,
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"pz": 0.0,
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"qx": 0.0,
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"qy": 0.0,
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"qz": 0.0,
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"qw": 1.0
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},
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{
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"px": $px,
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"py": 0.0,
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"pz": 0.0,
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"qx": 0.0,
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"qy": 0.0,
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"qz": 0.0,
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"qw": 1.0
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}
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],
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"intrinsics": [
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{
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"camera_type": "pinhole",
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"intrinsics": {
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"fx": $fx0,
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"fy": $fy0,
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"cx": $cx0,
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"cy": $cy0
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}
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},
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{
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"camera_type": "pinhole",
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"intrinsics": {
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"fx": $fx1,
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"fy": $fy1,
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"cx": $cx1,
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"cy": $cy1
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}
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}
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],
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"resolution": [
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[
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$rx,
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$ry
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],
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[
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$rx,
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$ry
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]
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],
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"vignette": [],
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"calib_accel_bias": [
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0
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],
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"calib_gyro_bias": [
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0,
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0.0
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],
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"imu_update_rate": 0.0,
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"accel_noise_std": [0.0, 0.0, 0.0],
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"gyro_noise_std": [0.0, 0.0, 0.0],
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"accel_bias_std": [0.0, 0.0, 0.0],
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"gyro_bias_std": [0.0, 0.0, 0.0],
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"cam_time_offset_ns": 0,
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"view_offset": 0
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}
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}
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''')
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with open(kitti_calib_file, 'r') as stream:
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lines = (' '.join([x.strip('\n ') for x in stream.readlines() if x.strip('\n ') ])).split(' ')
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if len(lines) != 52:
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print('Issues loading calibration')
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print(lines)
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P0 = np.array([float(x) for x in lines[1:13]]).reshape(3,4)
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P1 = np.array([float(x) for x in lines[14:26]]).reshape(3,4)
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print('P0\n', P0)
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print('P1\n', P1)
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tx = -P1[0,3]/P1[0,0]
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img = cv2.imread(dataset_path + '/image_0/000000.png')
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rx = img.shape[1]
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ry = img.shape[0]
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values = {'fx0': P0[0,0], 'fy0': P0[1,1], 'cx0': P0[0,2], 'cy0': P0[1,2], 'fx1': P1[0,0], 'fy1': P1[1,1], 'cx1': P1[0,2], 'cy1': P1[1,2], 'px': tx, 'rx': rx, 'ry': ry}
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calib = calib_template.substitute(values)
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print(calib)
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with open(dataset_path + '/basalt_calib.json', 'w') as stream2:
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stream2.write(calib) |