栏目分类:
子分类:
返回
名师互学网用户登录
快速导航关闭
当前搜索
当前分类
子分类
实用工具
热门搜索
名师互学网 > IT > 软件开发 > 后端开发 > Python

自制EUROC数据集

Python 更新时间: 发布时间: IT归档 最新发布 模块sitemap 名妆网 法律咨询 聚返吧 英语巴士网 伯小乐 网商动力

自制EUROC数据集

提示:文章写完后,目录可以自动生成,如何生成可参考右边的帮助文档

文章目录
  • 前言
  • 一、文件夹格式
  • 二、python 脚本


前言

提示:这里可以添加本文要记录的大概内容:
环境:unbantu 18.04
硬件:zed2i
采集的数据:双目的.png(以时间戳命名)、imu的.csv

参考:
https://blog.csdn.net/weixin_38141453/article/details/110679751
https://blog.csdn.net/warningm_dm/article/details/116713950
https://blog.csdn.net/weixin_48135525/article/details/121531328


一、文件夹格式

在自定文件夹下,新建cam0、cam1、imu0文件夹:

cam0/data/ .png 左目所有的图片序列

cam1/data/ .png 右目所有的图片序列

imu/data.csv

二、python 脚本

程序不需要改,但需注意文件夹格式

#!/usr/bin/env python
print ("importing libraries")

import rosbag
import rospy
from sensor_msgs.msg import Image
from sensor_msgs.msg import Imu
from geometry_msgs.msg import PointStamped
#import ImageFile
#import PIL.ImageFile as ImageFile
import time, sys, os
import argparse
import cv2
import numpy as np
import csv

#structure
# dataset/cam0/data/TIMESTAMP.png
# dataset/camN/data/TIMESTAMP.png
# dataset/imu0/data.csv
# dataset/imuN/data.csv
# dataset/leica0/data.csv

#setup the argument list
parser = argparse.ArgumentParser(description='Create a ROS bag using the images and imu data.')
parser.add_argument('--folder',  metavar='folder', nargs='?', help='Data folder')
parser.add_argument('--output-bag', metavar='output_bag',  default="output.bag", help='ROS bag file %(default)s')

#print help if no argument is specified
if len(sys.argv)<2:
    parser.print_help()
    sys.exit(0)

#parse the args
parsed = parser.parse_args()

def getImageFilesFromDir(dir):
    '''Generates a list of files from the directory'''
    image_files = list()
    timestamps = list()
    if os.path.exists(dir):
        for path, names, files in os.walk(dir):
            for f in files:
                if os.path.splitext(f)[1] in ['.bmp', '.png', '.jpg']:
                    image_files.append( os.path.join( path, f ) )
                    timestamps.append(os.path.splitext(f)[0]) 
    #sort by timestamp
    sort_list = sorted(zip(timestamps, image_files))
    image_files = [file[1] for file in sort_list]
    return image_files

def getCamFoldersFromDir(dir):
    '''Generates a list of all folders that start with cam e.g. cam0'''
    cam_folders = list()
    if os.path.exists(dir):
        for path, folders, files in os.walk(dir):
            for folder in folders:                
                if folder[0:3] == "cam":
                    cam_folders.append(folder)
    return cam_folders

def getImuFoldersFromDir(dir):
    '''Generates a list of all folders that start with imu e.g. cam0'''
    imu_folders = list()
    if os.path.exists(dir):
        for path, folders, files in os.walk(dir):
            for folder in folders:                
                if folder[0:3] == "imu":
                    imu_folders.append(folder)
    return imu_folders

def getImuCsvFiles(dir):
    '''Generates a list of all csv files that start with imu'''
    imu_files = list()
    if os.path.exists(dir):
        for path, folders, files in os.walk(dir):
            for file in files:
                if file[0:3] == 'imu' and os.path.splitext(file)[1] == ".csv":
                    imu_files.append( os.path.join( path, file ) )
    
    return imu_files

def loadImageToRosMsg(filename):
    image_np = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)
    
    timestamp_nsecs = os.path.splitext(os.path.basename(filename))[0]
    timestamp = rospy.Time( secs=int(timestamp_nsecs[0:-9]), nsecs=int(timestamp_nsecs[-9:]) )

    rosimage = Image()
    rosimage.header.stamp = timestamp
    rosimage.height = image_np.shape[0]
    rosimage.width = image_np.shape[1]
    rosimage.step = rosimage.width  #only with mono8! (step = width * byteperpixel * numChannels)
    rosimage.encoding = "mono8"
    rosimage.data = image_np.tostring()
    
    return rosimage, timestamp

def createImuMessge(timestamp_int, omega, alpha):
    timestamp_nsecs = str(timestamp_int)
    timestamp = rospy.Time( int(timestamp_nsecs[0:-9]), int(timestamp_nsecs[-9:]) )
    
    rosimu = Imu()
    rosimu.header.stamp = timestamp
    rosimu.angular_velocity.x = float(omega[0])
    rosimu.angular_velocity.y = float(omega[1])
    rosimu.angular_velocity.z = float(omega[2])
    rosimu.linear_acceleration.x = float(alpha[0])
    rosimu.linear_acceleration.y = float(alpha[1])
    rosimu.linear_acceleration.z = float(alpha[2])
    
    return rosimu, timestamp
    
#create the bag
try:
    bag = rosbag.Bag(parsed.output_bag, 'w')
    
    #write images
    camfolders = getCamFoldersFromDir(parsed.folder)
    for camfolder in camfolders:
        camdir = parsed.folder + "/{0}".format(camfolder) + "/data"
        image_files = getImageFilesFromDir(camdir)
        for image_filename in image_files:
            image_msg, timestamp = loadImageToRosMsg(image_filename)
            bag.write("/{0}/image_raw".format(camfolder), image_msg, timestamp)

    #write imu data
    imufolders = getImuFoldersFromDir(parsed.folder)
    for imufolder in imufolders:
        imufile = parsed.folder + "/" + imufolder + "/data.csv"
        topic = os.path.splitext(os.path.basename(imufolder))[0]
        with open(imufile, 'rb') as csvfile:
            reader = csv.reader(csvfile, delimiter=',')
            headers = next(reader, None)
            for row in reader:
                imumsg, timestamp = createImuMessge(row[0], row[1:4], row[4:7])
                bag.write("/{0}".format(topic), imumsg, timestamp)
	print ("done")

finally:
    bag.close()
    

新建终端:

python '/home/h/dataset/bagcreater.py'  --folder /home/h/dataset/1

文件夹1中包含cam0、cam1、imu0文件夹:
pytho2运行,默认在home下生成output.bag

转载请注明:文章转载自 www.mshxw.com
本文地址:https://www.mshxw.com/it/1009401.html
我们一直用心在做
关于我们 文章归档 网站地图 联系我们

版权所有 (c)2021-2022 MSHXW.COM

ICP备案号:晋ICP备2021003244-6号