2018-04-14 16:17:00 +03:00
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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2018-05-10 09:46:34 +03:00
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# Copyright 2018 Slightech Co., Ltd. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2018-04-14 16:17:00 +03:00
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# pylint: disable=missing-docstring
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from __future__ import print_function
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def isiter_not_str(obj):
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return hasattr(obj, '__iter__') and not isinstance(obj, basestring)
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class What(object):
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img_left = "img_left"
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img_right = "img_right"
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imu = "imu"
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temp = "temp"
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class DataError(Exception):
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def __init__(self, message):
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super(DataError, self).__init__()
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self.message = message
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class Data(object):
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def __init__(self):
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self._timestamp = 0
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@property
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def timestamp(self):
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return self._timestamp
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@timestamp.setter
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def timestamp(self, value):
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self._timestamp = value
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def __str__(self):
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return "timestamp: {:f}".format(self.timestamp)
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class Image(Data):
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def __init__(self):
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super(Image, self).__init__()
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self._data = None
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@property
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def data(self):
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return self._data
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@data.setter
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def data(self, data):
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self._data = data
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@property
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def width(self):
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return 0
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@property
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def height(self):
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return 0
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class IMU(Data):
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def __init__(self):
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super(IMU, self).__init__()
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2018-08-14 05:15:42 +03:00
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self._flag = 0
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2018-04-14 16:17:00 +03:00
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self._accel_x = 0
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self._accel_y = 0
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self._accel_z = 0
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self._gyro_x = 0
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self._gyro_y = 0
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self._gyro_z = 0
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2018-08-14 05:15:42 +03:00
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@property
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def flag(self):
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return self._flag
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@flag.setter
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def flag(self, flag):
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self._flag = flag
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2018-04-14 16:17:00 +03:00
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@property
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def accel(self):
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return self._accel_x, self._accel_y, self._accel_z
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@property
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def accel_x(self):
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return self._accel_x
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@accel_x.setter
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def accel_x(self, accel_x):
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self._accel_x = accel_x
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@property
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def accel_y(self):
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return self._accel_y
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@accel_y.setter
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def accel_y(self, accel_y):
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self._accel_y = accel_y
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@property
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def accel_z(self):
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return self._accel_z
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@accel_z.setter
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def accel_z(self, accel_z):
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self._accel_z = accel_z
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@property
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def gyro(self):
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return self._gyro_x, self._gyro_y, self._gyro_z
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@property
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def gyro_x(self):
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return self._gyro_x
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@gyro_x.setter
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def gyro_x(self, gyro_x):
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self._gyro_x = gyro_x
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@property
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def gyro_y(self):
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return self._gyro_y
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@gyro_y.setter
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def gyro_y(self, gyro_y):
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self._gyro_y = gyro_y
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@property
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def gyro_z(self):
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return self._gyro_z
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@gyro_z.setter
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def gyro_z(self, gyro_z):
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self._gyro_z = gyro_z
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def __str__(self):
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return super(IMU, self).__str__() + \
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"\naccel: {:f}, {:f}, {:f}".format(*self.accel) + \
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"\ngyro: {:f}, {:f}, {:f}".format(*self.gyro)
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class Temp(Data):
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def __init__(self):
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super(Temp, self).__init__()
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self._value = 0
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@property
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def value(self):
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return self._value
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@value.setter
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def value(self, value):
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self._value = value
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def __str__(self):
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return super(Temp, self).__str__() + \
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"\ntemp: {:f}".format(self.value)
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class Dataset(object):
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def __init__(self, path):
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self.path = path
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def generate(self, *what): # pylint: disable=unused-argument
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raise DataError('DataError: method not implemented')
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def iterate(self, action, *what):
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for result in self.generate(*what):
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if isinstance(result, dict): # dict > **kwds
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action(**result)
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elif isiter_not_str(result): # iterable > *args
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action(*result)
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else:
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action(result)
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def collect(self, *what):
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results = {}
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for result in self.generate(*what):
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for key in result.keys():
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if key not in what:
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continue
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if key not in results:
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results[key] = []
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results[key].append(result[key])
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return results
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@property
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def timebeg(self):
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raise DataError('DataError: method not implemented')
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@property
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def timeend(self):
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raise DataError('DataError: method not implemented')
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@property
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def duration(self):
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raise DataError('DataError: method not implemented')
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class ROSBag(Dataset):
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def __init__(self, path, **config):
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super(ROSBag, self).__init__(path)
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self.topic_img_left = config['topic_img_left'] \
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if 'topic_img_left' in config else None
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self.topic_img_right = config['topic_img_right'] \
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if 'topic_img_right' in config else None
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self.topic_imu = config['topic_imu'] \
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if 'topic_imu' in config else None
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self.topic_temp = config['topic_temp'] \
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if 'topic_temp' in config else None
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import yaml
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from rosbag.bag import Bag
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# pylint: disable=protected-access
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self._info = yaml.load(Bag(self.path, 'r')._get_yaml_info())
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def generate(self, *what):
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import rosbag
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hit_img_left = What.img_left in what
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hit_img_right = What.img_right in what
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hit_imu = What.imu in what
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hit_temp = What.temp in what
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try:
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# pylint: disable=unused-variable
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for topic, msg, t in rosbag.Bag(self.path).read_messages():
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result = {}
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stamp = msg.header.stamp.to_sec()
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if hit_img_left and topic == self.topic_img_left:
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img = Image()
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img.timestamp = stamp
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# pylint: disable=fixme
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# TODO: data with cv_bridge
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result[What.img_left] = img
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elif hit_img_right and topic == self.topic_img_right:
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img = Image()
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img.timestamp = stamp
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# TODO: data with cv_bridge
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result[What.img_right] = img
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elif hit_imu and topic == self.topic_imu:
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imu = IMU()
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imu.timestamp = stamp
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imu.accel_x = msg.linear_acceleration.x
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imu.accel_y = msg.linear_acceleration.y
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imu.accel_z = msg.linear_acceleration.z
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imu.gyro_x = msg.angular_velocity.x
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imu.gyro_y = msg.angular_velocity.y
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imu.gyro_z = msg.angular_velocity.z
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result[What.imu] = imu
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elif hit_temp and topic == self.topic_temp:
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temp = Temp()
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temp.timestamp = stamp
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temp.value = msg.data
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result[What.temp] = temp
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else:
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# raise DataError('DataError: not proper topics in the rosbag')
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continue
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yield result
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finally:
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pass
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@property
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def info(self):
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return self._info
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@property
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def timebeg(self):
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return self._info['start']
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@property
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def timeend(self):
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return self._info['end']
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@property
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def duration(self):
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return self._info['duration']
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2018-04-15 16:32:14 +03:00
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class MYNTEYE(Dataset):
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# pylint: disable=no-member
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def __init__(self, path):
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super(MYNTEYE, self).__init__(path)
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self._info = self._get_info()
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def _get_info(self):
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import os
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import sys
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from os import path
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info = type('', (), {})()
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info.img_left_dir = path.join(self.path, 'left')
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info.img_left_txt = path.join(info.img_left_dir, 'stream.txt')
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info.has_img_left = path.isfile(info.img_left_txt)
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info.img_right_dir = path.join(self.path, 'right')
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info.img_right_txt = path.join(info.img_right_dir, 'stream.txt')
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info.has_img_right = path.isfile(info.img_right_txt)
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info.imu_txt = path.join(self.path, 'motion.txt')
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info.has_imu = path.isfile(info.imu_txt)
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if info.has_img_left:
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info_txt = info.img_left_txt
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elif info.has_img_right:
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info_txt = info.img_right_txt
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elif info.has_imu:
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info_txt = info.img_left_txt
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else:
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sys.exit('Error: Dataset is empty or unexpected format')
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with open(info_txt, 'rb') as f:
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fields = [_.strip() for _ in f.readline().split(',')]
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first = f.readline()
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f.seek(-2, os.SEEK_END)
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while f.read(1) != b'\n':
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f.seek(-2, os.SEEK_CUR)
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last = f.readline()
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index = -1
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for i, field in enumerate(fields):
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if field == 'timestamp':
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index = i
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break
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if index == -1:
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sys.exit('Error: Dataset is unexpected format, timestamp not found')
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2018-08-01 15:20:39 +03:00
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# unit from 1us to 1s
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info.timebeg = float(first.split(',')[index].strip()) * 0.000001
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info.timeend = float(last.split(',')[index].strip()) * 0.000001
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2018-04-15 16:32:14 +03:00
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# print('time: [{}, {}]'.format(info.timebeg, info.timeend))
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return info
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def generate(self, *what):
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hit_img_left = What.img_left in what
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hit_img_right = What.img_right in what
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hit_imu = What.imu in what
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hit_temp = What.temp in what
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def get_fields(f):
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fields = {}
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for i, field in enumerate(_.strip() for _ in f.readline().split(',')):
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fields[field] = i
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return fields
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if hit_img_left and self._info.has_img_left:
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with open(self._info.img_left_txt) as f:
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fields = get_fields(f)
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for line in f:
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values = [_.strip() for _ in line.split(',')]
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img = Image()
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2018-08-01 15:20:39 +03:00
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img.timestamp = float(values[fields['timestamp']]) * 0.000001
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2018-04-15 16:32:14 +03:00
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yield {What.img_left: img}
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if hit_img_right and self._info.has_img_right:
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with open(self._info.img_right_txt) as f:
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fields = get_fields(f)
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for line in f:
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values = [_.strip() for _ in line.split(',')]
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img = Image()
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2018-08-01 15:20:39 +03:00
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img.timestamp = float(values[fields['timestamp']]) * 0.000001
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2018-04-15 16:32:14 +03:00
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yield {What.img_right: img}
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if (hit_imu or hit_temp) and self._info.has_imu:
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with open(self._info.imu_txt) as f:
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fields = get_fields(f)
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|
|
|
for line in f:
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|
|
|
values = [_.strip() for _ in line.split(',')]
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|
|
|
imu = IMU()
|
2018-08-01 15:20:39 +03:00
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|
|
imu.timestamp = float(values[fields['timestamp']]) * 0.000001
|
2018-08-14 05:15:42 +03:00
|
|
|
imu.flag = values[fields['flag']]
|
2018-04-15 16:32:14 +03:00
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|
|
imu.accel_x = float(values[fields['accel_x']])
|
|
|
|
imu.accel_y = float(values[fields['accel_y']])
|
|
|
|
imu.accel_z = float(values[fields['accel_z']])
|
|
|
|
imu.gyro_x = float(values[fields['gyro_x']])
|
|
|
|
imu.gyro_y = float(values[fields['gyro_y']])
|
|
|
|
imu.gyro_z = float(values[fields['gyro_z']])
|
|
|
|
temp = Temp()
|
|
|
|
temp.timestamp = imu.timestamp
|
|
|
|
temp.value = float(values[fields['temperature']])
|
|
|
|
yield {What.imu: imu, What.temp: temp}
|
|
|
|
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|
|
|
@property
|
|
|
|
def timebeg(self):
|
|
|
|
return self._info.timebeg
|
|
|
|
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|
|
|
@property
|
|
|
|
def timeend(self):
|
|
|
|
return self._info.timeend
|
|
|
|
|
|
|
|
@property
|
|
|
|
def duration(self):
|
|
|
|
return self.timeend - self.timebeg
|
|
|
|
|
|
|
|
|
2018-04-14 16:17:00 +03:00
|
|
|
if __name__ == '__main__':
|
|
|
|
|
|
|
|
class DataA(Dataset):
|
|
|
|
|
|
|
|
def generate(self, *what):
|
|
|
|
yield 'a'
|
|
|
|
yield 'b'
|
|
|
|
|
|
|
|
class DataB(Dataset):
|
|
|
|
|
|
|
|
def generate(self, *what):
|
|
|
|
yield 'a1', 'a2', 'a3'
|
|
|
|
yield 'b1', 'b2', 'b3'
|
|
|
|
|
|
|
|
print('DataA, generate')
|
|
|
|
for x in DataA('path').generate("what"):
|
|
|
|
print(x)
|
|
|
|
print('\nDataA, iterate')
|
|
|
|
DataA('path').iterate(print, "what")
|
|
|
|
|
|
|
|
print('\nDataB, generate')
|
|
|
|
for x in DataB('path').generate("what"):
|
|
|
|
print(', '.join(x))
|
|
|
|
print('\nDataB, iterate')
|
|
|
|
DataB('path').iterate(lambda *x: print(', '.join(x)), "what")
|