Created
August 2, 2016 17:20
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The code I used to apply a median filter to the Intel R200 camera's depth image coming from ROS. Note that you will need to remap topics and that once the filtering is done, you will need to pass it through a depth_image_proc/point_cloud_xyz node to get a point cloud (more info here http://wiki.ros.org/depth_image_proc#depth_image_proc.2BAC8-poi…
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#!/usr/bin/env python | |
""" | |
Purpose of the file: subscribe to a topic called /image_raw of type sensor_msgs/Image | |
Apply filter to the resulting image | |
""" | |
from __future__ import print_function | |
import cv2 | |
import numpy as np | |
import rospy | |
from sensor_msgs.msg import Image | |
from cv_bridge import CvBridge, CvBridgeError | |
class SubThenFilter: | |
def __init__(self): | |
self.sub = rospy.Subscriber("/image_raw", Image, self.image_callback, queue_size=1) | |
self.pub = rospy.Publisher("/image_filtered", Image, queue_size=1) | |
self.bridge = CvBridge() | |
self.median_blur_size = 5 | |
self.use_median_blur = True | |
def image_callback(self, data): | |
try: | |
cv_image = self.bridge.imgmsg_to_cv2(data,"passthrough") | |
except CvBridgeError as e: | |
print(e) | |
cv_image = np.nan_to_num(cv_image) | |
if self.use_median_blur: | |
cv_image = cv2.medianBlur(cv_image, self.median_blur_size) | |
try: | |
msg = self.bridge.cv2_to_imgmsg(cv_image, "passthrough") | |
data.data = msg.data | |
self.pub.publish(data) | |
except CvBridgeError as e: | |
print(e) | |
if __name__ == "__main__": | |
rospy.init_node("depth_filter", anonymous=True) | |
sf = SubThenFilter() | |
try: | |
rospy.spin() | |
except KeyboardInterrupt: | |
print("shutting down") | |
cv2.destroyAllWindows() |
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