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Convert Realsense ROS bag to TUM format image files
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import os, sys | |
import os.path as osp | |
import cv2 | |
from cv_bridge import CvBridge | |
import rosbag | |
import sensor_msgs | |
import sensor_msgs.point_cloud2 as pc | |
import zipfile | |
import tqdm | |
def convert(filepath): | |
output = zipfile.ZipFile(filepath[:-4] + ".zip", 'w') | |
# color_counter = 0 | |
# depth_counter = 0 | |
br = CvBridge() | |
print("Loading rosbag...") | |
with rosbag.Bag(filepath, 'r') as bag: | |
depth_topic = "/device_0/sensor_0/Depth_0/image/data" | |
depth_timelist = [] | |
color_topic = "/device_0/sensor_1/Color_0/image/data" | |
color_timelist = [] | |
print("Saving images...") | |
with tqdm.tqdm(total=bag.get_end_time(), unit="s") as tl: | |
for topic, data, time in bag.read_messages(topics=[depth_topic, color_topic]): | |
timestr = "%d.%06d" % (time.secs, int(time.nsecs/1000)) | |
if topic == depth_topic: | |
ret, buf = cv2.imencode(".png", br.imgmsg_to_cv2(data, desired_encoding="bgr8")) | |
if ret != True: raise RuntimeError("Error encoding image!") | |
output.writestr("depth/%s.png" % timestr, buf) | |
if topic == color_topic: | |
ret, buf = cv2.imencode(".png", br.imgmsg_to_cv2(data, desired_encoding="bgr8")) | |
if ret != True: raise RuntimeError("Error encoding image!") | |
output.writestr("rgb/%s.png" % timestr, buf) | |
depth_timelist.append("{0} depth/{0}.png".format(timestr)) | |
color_timelist.append("{0} rgb/{0}.png".format(timestr)) | |
tl.n = time.secs + time.nsecs/1e9 | |
tl.refresh() | |
timeheader = '''# %s images | |
# file: '{0}' | |
# timestamp filename | |
'''.format(filepath) | |
output.writestr("depth.txt", timeheader % 'depth maps' + '\n'.join(depth_timelist)) | |
output.writestr("rgb.txt", timeheader % 'color images' + '\n'.join(color_timelist)) | |
output.close() | |
print("Done.") | |
if __name__ == "__main__": | |
convert(sys.argv[1]) | |
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