Created
April 23, 2022 14:29
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example of visualizing markers
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#!/usr/bin/env python3 | |
import sys | |
import rospy | |
import rostopic | |
import numpy as np | |
import message_filters | |
from std_msgs.msg import ColorRGBA, Header | |
from visualization_msgs.msg import Marker, MarkerArray | |
from vision_msgs.msg import ObjectHypothesis, Detection2D, Detection2DArray | |
labelMap = [ | |
"background", | |
"aeroplane", | |
"bicycle", | |
"bird", | |
"boat", | |
"bottle", | |
"bus", | |
"car", | |
"cat", | |
"chair", | |
"cow", | |
"diningtable", | |
"dog", | |
"horse", | |
"motorbike", | |
"person", | |
"pottedplant", | |
"sheep", | |
"sofa", | |
"train", | |
"tvmonitor", | |
] | |
def object_annotator( | |
reid, | |
roi, | |
position, | |
time: rospy.Time, | |
frame_id: str = "oak_rgb_camera_optical_frame", | |
offset=0.2, | |
cube_size=0.2, | |
): | |
cube = Marker() | |
cube.header.frame_id = frame_id | |
cube.header.stamp = time | |
cube.id = int(reid.replace("_", "")[-3:] + "2") | |
cube.ns = "detection_visualizer" | |
cube.type = Marker.CUBE | |
cube.action = Marker.DELETEALL | |
cube.action = Marker.ADD | |
cube.scale.x = cube_size | |
cube.scale.y = cube_size | |
cube.scale.z = cube_size | |
cube.pose.position.x = position[0] | |
cube.pose.position.y = position[1] | |
cube.pose.position.z = position[2] | |
cube.pose.orientation.x = 0 | |
cube.pose.orientation.y = 0 | |
cube.pose.orientation.z = 0 | |
cube.pose.orientation.w = 1 | |
cube.color = ColorRGBA(0.2, 0.8, 0.85, 0.4) | |
cube.lifetime = rospy.Duration(0.1) | |
return cube | |
class DetectionVisualizer: | |
""" | |
This node publishes Markers for Object Detections. | |
""" | |
def __init__(self, topic, rate=10, queue_len=10): | |
rostopic._check_master() | |
rospy.init_node("detection_visualizer", anonymous=True) | |
rospy.loginfo("%s started" % rospy.get_name()) | |
det_sub = rospy.Subscriber(topic, Detection2DArray, self.callback) | |
self.publisher = rospy.Publisher( | |
"matched_detections", Detection2DArray, queue_size=queue_len | |
) | |
self._target_frame = rospy.get_param("~target_frame", "oak_rgb_camera_frame") | |
self.rate = rospy.Rate(rate) | |
self.viz_publisher = rospy.Publisher( | |
"detection_markers", MarkerArray, queue_size=1 | |
) | |
self.rate.sleep() | |
def from_ros(self, tracklet): | |
center, width, height = ( | |
tracklet.bbox.center, | |
tracklet.bbox.size_x, | |
tracklet.bbox.size_y, | |
) | |
x, y = center.x, center.y | |
xmin, xmax = x - width // 2, x + width // 2 | |
ymin, ymax = y - height // 2, y + height // 2 | |
roi = (xmin, ymin, xmax, ymax) | |
label = tracklet.results[0].id if tracklet.results else -1 | |
point = ( | |
tracklet.spatialCoordinate.x, | |
tracklet.spatialCoordinate.y, | |
tracklet.spatialCoordinate.z, | |
) | |
return point, roi, label | |
def to_ros(self, det): | |
detection = Detection2D() | |
detection.results.append(ObjectHypothesis(id=det[2], score=1.0)) | |
return detection | |
def callback(self, spatial_detections): | |
trackedTracklets = [] | |
for tracklet in spatial_detections.detections: | |
trackedTracklets.append(self.from_ros(tracklet)) | |
matchedDetection2DArray = Detection2DArray() | |
markers = MarkerArray() | |
for det in trackedTracklets: | |
matchedDetection2DArray.detections.append(self.to_ros(det)) | |
box = object_annotator( | |
labelMap[det[2]] + "_" + str(np.random.randint(100)).zfill(4), | |
det[1], | |
(det[0][0], det[0][1], det[0][2]), | |
rospy.Time.now(), | |
) | |
markers.markers.append(box) | |
matchedDetection2DArray.header = Header( | |
stamp=rospy.Time.now(), frame_id=self._target_frame | |
) | |
self.publisher.publish(matchedDetection2DArray) | |
self.viz_publisher.publish(markers) | |
self.rate.sleep() | |
def shutdown(self): | |
rospy.loginfo("Shutting down node") | |
rospy.signal_shutdown("Shutdown all threads") | |
sys.exit(0) | |
if __name__ == "__main__": | |
topic = "/rgb_publisher/color/mobilenet_detections" | |
ros_node = DetectionVisualizer(topic=topic) | |
rospy.on_shutdown(ros_node.shutdown) | |
rospy.spin() |
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