Draw colored camera views in rviz

This commit is contained in:
Michel Breyer 2021-08-16 17:38:17 +02:00
parent 4b4d54240b
commit ac5c490ae8
3 changed files with 68 additions and 7 deletions

View File

@ -30,13 +30,15 @@ class NextBestView(BasePolicy):
# Generate viewpoints # Generate viewpoints
views = self.generate_viewpoints() views = self.generate_viewpoints()
self.visualizer.views(views)
# Evaluate viewpoints # Evaluate viewpoints
gains = [self.compute_ig(v) for v in views] gains = [self.compute_ig(v) for v in views]
costs = [self.compute_cost(v) for v in views] costs = [self.compute_cost(v) for v in views]
utilities = gains / np.sum(gains) - costs / np.sum(costs) utilities = gains / np.sum(gains) - costs / np.sum(costs)
# Visualize
self.visualizer.views(self.intrinsic, views, utilities)
# Determine next-best-view # Determine next-best-view
nbv = views[np.argmax(utilities)] nbv = views[np.argmax(utilities)]

View File

@ -43,6 +43,7 @@ class BasePolicy(Policy):
self.center = 0.5 * (bbox.min + bbox.max) self.center = 0.5 * (bbox.min + bbox.max)
self.T_base_task = Transform.translation(self.center - np.full(3, 0.15)) self.T_base_task = Transform.translation(self.center - np.full(3, 0.15))
self.T_task_base = self.T_base_task.inv()
tf.broadcast(self.T_base_task, self.base_frame, self.task_frame) tf.broadcast(self.T_base_task, self.base_frame, self.task_frame)
rospy.sleep(1.0) # wait for the transform to be published rospy.sleep(1.0) # wait for the transform to be published

View File

@ -1,4 +1,5 @@
from geometry_msgs.msg import PoseArray from geometry_msgs.msg import PoseArray
import matplotlib.colors
import numpy as np import numpy as np
import rospy import rospy
@ -6,6 +7,8 @@ from robot_helpers.ros.rviz import *
from robot_helpers.spatial import Transform from robot_helpers.spatial import Transform
from vgn.utils import * from vgn.utils import *
cmap = matplotlib.colors.LinearSegmentedColormap.from_list("RedGreen", ["r", "g"])
class Visualizer: class Visualizer:
def __init__(self, frame, topic="visualization_marker_array"): def __init__(self, frame, topic="visualization_marker_array"):
@ -13,7 +16,6 @@ class Visualizer:
self.marker_pub = rospy.Publisher(topic, MarkerArray, queue_size=1) self.marker_pub = rospy.Publisher(topic, MarkerArray, queue_size=1)
self.scene_cloud_pub = rospy.Publisher("scene_cloud", PointCloud2, queue_size=1) self.scene_cloud_pub = rospy.Publisher("scene_cloud", PointCloud2, queue_size=1)
self.quality_pub = rospy.Publisher("quality", PointCloud2, queue_size=1) self.quality_pub = rospy.Publisher("quality", PointCloud2, queue_size=1)
self.views_pub = rospy.Publisher("views", PoseArray, queue_size=1)
self.grasps_pub = rospy.Publisher("grasps", PoseArray, queue_size=1) self.grasps_pub = rospy.Publisher("grasps", PoseArray, queue_size=1)
def clear(self): def clear(self):
@ -85,8 +87,64 @@ class Visualizer:
msg = to_cloud_msg(frame, np.asarray(cloud.points)) msg = to_cloud_msg(frame, np.asarray(cloud.points))
self.scene_cloud_pub.publish(msg) self.scene_cloud_pub.publish(msg)
def views(self, views): def views(self, intrinsic, views, values):
msg = PoseArray() vmin, vmax = min(values), max(values)
msg.header.frame_id = self.frame scale = [0.002, 0.0, 0.0]
msg.poses = [to_pose_msg(view) for view in views] near, far = 0.0, 0.02
self.views_pub.publish(msg) markers = []
for i, (view, value) in enumerate(zip(views, values)):
color = cmap((value - vmin) / (vmax - vmin))
markers.append(
_create_cam_view_marker(
self.frame,
view,
scale,
color,
intrinsic,
near,
far,
ns="views",
id=i,
)
)
self.draw(markers)
def _create_cam_view_marker(
frame, pose, scale, color, intrinsic, near, far, ns="", id=0
):
marker = create_marker(Marker.LINE_LIST, frame, pose, scale, color, ns, id)
x_n = near * intrinsic.width / (2.0 * intrinsic.fx)
y_n = near * intrinsic.height / (2.0 * intrinsic.fy)
z_n = near
x_f = far * intrinsic.width / (2.0 * intrinsic.fx)
y_f = far * intrinsic.height / (2.0 * intrinsic.fy)
z_f = far
points = [
[x_n, y_n, z_n],
[-x_n, y_n, z_n],
[-x_n, y_n, z_n],
[-x_n, -y_n, z_n],
[-x_n, -y_n, z_n],
[x_n, -y_n, z_n],
[x_n, -y_n, z_n],
[x_n, y_n, z_n],
[x_f, y_f, z_f],
[-x_f, y_f, z_f],
[-x_f, y_f, z_f],
[-x_f, -y_f, z_f],
[-x_f, -y_f, z_f],
[x_f, -y_f, z_f],
[x_f, -y_f, z_f],
[x_f, y_f, z_f],
[x_n, y_n, z_n],
[x_f, y_f, z_f],
[-x_n, y_n, z_n],
[-x_f, y_f, z_f],
[-x_n, -y_n, z_n],
[-x_f, -y_f, z_f],
[x_n, -y_n, z_n],
[x_f, -y_f, z_f],
]
marker.points = [to_point_msg(p) for p in points]
return marker