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images_to_rosbag.py
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images_to_rosbag.py
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import argparse
import glob
import os
from os.path import join
import cv2
import rosbag
import rospy
from sensor_msgs.msg import Image
import tqdm
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--rosbag_folder", required=True,
type=str, help="Path to the base folder containing the rosbags")
parser.add_argument("--image_folder", required=True,
type=str, help="Path to the base folder containing the image reconstructions")
parser.add_argument("--image_topic", required=True, type=str,
help="Name of the topic which will contain the reconstructed images")
parser.set_defaults(feature=False)
args = parser.parse_args()
print('Images to process: {}'.format(args.image_folder))
reconstructed_images_folder = args.image_folder
if not os.path.exists(args.rosbag_folder):
os.makedirs(args.rosbag_folder)
input_bag_filename = join(args.rosbag_folder, 'reconstruction.bag')
if os.path.exists(input_bag_filename):
print('Detected existing rosbag: {}.'.format(input_bag_filename))
print('Will overwrite the existing bag.')
# list all images in the folder
images = [f for f in glob.glob(join(reconstructed_images_folder, "*.png"))]
images = sorted(images)
print('Found {} images'.format(len(images)))
pbar = tqdm.tqdm(total=len(images))
with rosbag.Bag(input_bag_filename, 'w') as outbag:
for i, image_path in enumerate(images):
stamp = image_path.split('/')[-1].split('.')[0]
assert os.path.exists(image_path)==True
img = cv2.imread(image_path, 0)
try:
stamp_ros = rospy.Time(secs=int(stamp[0:-9]), nsecs=int(stamp[-9:]) )
rosimage = Image()
rosimage.header.stamp = stamp_ros
rosimage.height = img.shape[0]
rosimage.width = img.shape[1]
rosimage.step = rosimage.width #only with mono8! (step = width * byteperpixel * numChannels)
rosimage.encoding = "mono8"
rosimage.data = img.tostring()
outbag.write(args.image_topic, rosimage, stamp_ros)
pbar.update(1)
except:
print("error in reading file ", image_path)