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Extract images from a rosbag.
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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
# Copyright 2016 Massachusetts Institute of Technology | |
"""Extract images from a rosbag. | |
""" | |
import os | |
import argparse | |
import cv2 | |
import rosbag | |
from sensor_msgs.msg import Image | |
from cv_bridge import CvBridge | |
def main(): | |
"""Extract a folder of images from a rosbag. | |
""" | |
parser = argparse.ArgumentParser(description="Extract images from a ROS bag.") | |
parser.add_argument("bag_file", help="Input ROS bag.") | |
parser.add_argument("output_dir", help="Output directory.") | |
parser.add_argument("image_topic", help="Image topic.") | |
args = parser.parse_args() | |
print "Extract images from %s on topic %s into %s" % (args.bag_file, | |
args.image_topic, args.output_dir) | |
bag = rosbag.Bag(args.bag_file, "r") | |
bridge = CvBridge() | |
count = 0 | |
for topic, msg, t in bag.read_messages(topics=[args.image_topic]): | |
cv_img = bridge.imgmsg_to_cv2(msg, desired_encoding="passthrough") | |
cv2.imwrite(os.path.join(args.output_dir, "frame%06i.png" % count), cv_img) | |
print "Wrote image %i" % count | |
count += 1 | |
bag.close() | |
return | |
if __name__ == '__main__': | |
main() |
THX! very useful!
This method doesn't work on compressed messages. Tweaking this code with only subscriber and playing the rosbag can work
Pretty cool:)
I'm trying to import rosbag, but it can't find the module, can someone share how you installed the module?
how can i use cv_bridge in anaconda(windows 10)? i am getting error like this
ERROR: Could not find a version that satisfies the requirement cvbridge (from versions: none)
ERROR: No matching distribution found for cvbridge
Thank you for the share
@wngreene do you have a version of script for ros2 Humble? Thank you.
@monajalal If you have a script for ros2 Humble, do share it! Thank You!
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Hello @wngreene, I have run the code and it occurs this error: TypeError: init() takes 2 positional arguments but 3 were given. Do you know how to solve this problem?
Thank you!