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1 | initial version |
I modified Thomas D's answer for OpenCV version 2.
* All topics that contain a search term (desired_topic) are accepted.
* Option to include image index with leading zeroes (index_in_filename)
* Delimiter changed to '-' to avoid confusion with underscores in topic names.
Code:
#!/usr/bin/python
# Extract images from a bag file.
#
# Original author: Thomas Denewiler (http://answers.ros.org/users/304/thomas-d/)
# Start up ROS pieces.
PKG = 'my_package'
import roslib; roslib.load_manifest(PKG)
import rosbag
import rospy
import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
# Reading bag filename from command line or roslaunch parameter.
import os
import sys
class ImageCreator():
image_type = ".jpg"
desired_topic = "image_raw"
index_in_filename = True
index_format = "06d"
image_index = 0
# Must have __init__(self) function for a class, similar to a C++ class constructor.
def __init__(self):
# Get parameters when starting node from a launch file.
if len(sys.argv) < 1:
save_dir = rospy.get_param('save_dir')
filename = rospy.get_param('filename')
rospy.loginfo("Bag filename = %s", filename)
# Get parameters as arguments to 'rosrun my_package bag_to_images.py <save_dir> <filename>', where save_dir and filename exist relative to this executable file.
else:
save_dir = os.path.join(sys.path[0], sys.argv[1])
filename = os.path.join(sys.path[0], sys.argv[2])
rospy.loginfo("Bag filename = %s", filename)
# Use a CvBridge to convert ROS images to OpenCV images so they can be saved.
self.bridge = CvBridge()
# Open bag file.
with rosbag.Bag(filename, 'r') as bag:
for topic, msg, t in bag.read_messages():
topic_parts = topic.split('/')
# first part is empty string
if len(topic_parts) == 3 and topic_parts[2] == self.desired_topic:
try:
cv_image = self.bridge.imgmsg_to_cv2(msg, "bgr8")
except CvBridgeError, e:
print e
timestr = "%.3f" % msg.header.stamp.to_sec()
if self.index_in_filename:
image_name = str(save_dir) + "/" + topic_parts[1] + "-" + format(self.image_index, self.index_format) + "-" + timestr + self.image_type
else:
image_name = str(save_dir) + "/" + topic_parts[1] + "-" + timestr + self.image_type
cv2.imwrite(image_name, cv_image)
self.image_index = self.image_index + 1
# Main function.
if __name__ == '__main__':
# Initialize the node and name it.
rospy.init_node(PKG)
# Go to class functions that do all the heavy lifting. Do error checking.
try:
image_creator = ImageCreator()
except rospy.ROSInterruptException: pass
2 | No.2 Revision |
I modified Thomas D's answer for OpenCV version 2.
* All topics that contain a search term (desired_topic) are accepted.
* Option to include image index with leading zeroes (index_in_filename)
* Delimiter changed to '-' to avoid confusion with underscores in topic names.
* Support for compressed topics.
Code:
#!/usr/bin/python
# Extract images from a bag file.
#
# Original author: Thomas Denewiler (http://answers.ros.org/users/304/thomas-d/)
# Start up ROS pieces.
PKG = 'my_package'
import roslib; roslib.load_manifest(PKG)
import rosbag
import rospy
import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
# Reading bag filename from command line or roslaunch parameter.
import os
import sys
class ImageCreator():
image_type = ".jpg"
desired_topic = "image_raw"
index_in_filename = True
index_format = "06d"
image_index = 0
# Must have __init__(self) function for a class, similar to a C++ class constructor.
def __init__(self):
# Get parameters when starting node from a launch file.
if len(sys.argv) < 1:
save_dir = rospy.get_param('save_dir')
filename = rospy.get_param('filename')
rospy.loginfo("Bag filename = %s", filename)
# Get parameters as arguments to 'rosrun my_package bag_to_images.py <save_dir> <filename>', where save_dir and filename exist relative to this executable file.
else:
save_dir = os.path.join(sys.path[0], sys.argv[1])
filename = os.path.join(sys.path[0], sys.argv[2])
rospy.loginfo("Bag filename = %s", filename)
# Use a CvBridge to convert ROS images to OpenCV images so they can be saved.
self.bridge = CvBridge()
# Open bag file.
with rosbag.Bag(filename, 'r') as bag:
for topic, msg, t in bag.read_messages():
topic_parts = topic.split('/')
# first part is empty string
if len(topic_parts) == 3 and topic_parts[2] == self.desired_topic:
try:
cv_image = self.bridge.imgmsg_to_cv2(msg, "bgr8")
except CvBridgeError, e:
print e
timestr = "%.3f" % msg.header.stamp.to_sec()
if self.index_in_filename:
image_name = str(save_dir) + "/" + topic_parts[1] + "-" + format(self.image_index, self.index_format) + "-" + timestr + self.image_type
else:
image_name = str(save_dir) + "/" + topic_parts[1] + "-" + timestr + self.image_type
cv2.imwrite(image_name, cv_image)
self.image_index = self.image_index + 1
# Main function.
if __name__ == '__main__':
# Initialize the node and name it.
rospy.init_node(PKG)
# Go to class functions that do all the heavy lifting. Do error checking.
try:
image_creator = ImageCreator()
except rospy.ROSInterruptException: pass
3 | No.3 Revision |
I modified Thomas D's answer for OpenCV version 2.
* All topics that contain a search term (desired_topic) are accepted.
* Option to include image index with leading zeroes (index_in_filename)
* Delimiter changed to '-' to avoid confusion with underscores in topic names.
* Support for compressed topics.
Code:
#!/usr/bin/python
# Extract images from a bag file.
#
# Original author: Thomas Denewiler (http://answers.ros.org/users/304/thomas-d/)
# Start up ROS pieces.
PKG = 'my_package'
import roslib; roslib.load_manifest(PKG)
import rosbag
import rospy
import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
# Reading bag filename from command line or roslaunch parameter.
import os
import sys
class ImageCreator():
image_type = ".jpg"
desired_topic = "image_raw"
index_in_filename = True
index_format = "06d"
image_index = 0
# Must have __init__(self) function for a class, similar to a C++ class constructor.
def __init__(self):
# Get parameters when starting node from a launch file.
if len(sys.argv) < 1:
save_dir = rospy.get_param('save_dir')
filename = rospy.get_param('filename')
rospy.loginfo("Bag filename = %s", filename)
# Get parameters as arguments to 'rosrun my_package bag_to_images.py <save_dir> <filename>', where save_dir and filename exist relative to this executable file.
else:
save_dir = os.path.join(sys.path[0], sys.argv[1])
filename = os.path.join(sys.path[0], sys.argv[2])
rospy.loginfo("Bag filename = %s", filename)
# Use a CvBridge to convert ROS images to OpenCV images so they can be saved.
self.bridge = CvBridge()
# Open bag file.
with rosbag.Bag(filename, 'r') as bag:
for topic, msg, t in bag.read_messages():
topic_parts = topic.split('/')
# first part is empty string
if len(topic_parts) == 3 and topic_parts[2] == self.desired_topic:
try:
cv_image = self.bridge.imgmsg_to_cv2(msg, "bgr8")
except CvBridgeError, e:
print e
print(e)
timestr = "%.3f" % msg.header.stamp.to_sec()
if self.index_in_filename:
image_name = str(save_dir) + "/" + topic_parts[1] + "-" + format(self.image_index, self.index_format) + "-" + timestr + self.image_type
else:
image_name = str(save_dir) + "/" + topic_parts[1] + "-" + timestr + self.image_type
cv2.imwrite(image_name, cv_image)
self.image_index = self.image_index + 1
# Main function.
if __name__ == '__main__':
# Initialize the node and name it.
rospy.init_node(PKG)
# Go to class functions that do all the heavy lifting. Do error checking.
try:
image_creator = ImageCreator()
except rospy.ROSInterruptException: pass