Visualize quality and grasps

This commit is contained in:
Michel Breyer 2021-08-10 18:52:03 +02:00
parent 5a33561abb
commit 1e6d933e53
3 changed files with 127 additions and 64 deletions

View File

@ -34,7 +34,7 @@ class BasePolicy(Policy):
msg = rospy.wait_for_message(info_topic, CameraInfo, rospy.Duration(2.0)) msg = rospy.wait_for_message(info_topic, CameraInfo, rospy.Duration(2.0))
self.intrinsic = from_camera_info_msg(msg) self.intrinsic = from_camera_info_msg(msg)
self.vgn = VGN(Path(rospy.get_param("vgn/model"))) self.vgn = VGN(Path(rospy.get_param("vgn/model")))
self.score_fn = lambda g: g.pose.translation[2] self.score_fn = lambda g: g.pose.translation[2] # TODO
def init_visualizer(self): def init_visualizer(self):
self.visualizer = Visualizer(self.base_frame) self.visualizer = Visualizer(self.base_frame)
@ -42,13 +42,12 @@ class BasePolicy(Policy):
def activate(self, bbox): def activate(self, bbox):
self.bbox = bbox self.bbox = bbox
# Define the VGN task frame s.t. the bounding box is in its center
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))
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(0.1) # wait for the transform to be published rospy.sleep(1.0) # wait for the transform to be published
N, self.T = 40, 10 # spatial and temporal resolution N, self.T = 40, 10
grid_shape = (N,) * 3 grid_shape = (N,) * 3
self.tsdf = UniformTSDFVolume(0.3, N) self.tsdf = UniformTSDFVolume(0.3, N)
@ -67,64 +66,62 @@ class BasePolicy(Policy):
def integrate_img(self, img, extrinsic): def integrate_img(self, img, extrinsic):
self.viewpoints.append(extrinsic.inv()) self.viewpoints.append(extrinsic.inv())
self.tsdf.integrate(img, self.intrinsic, extrinsic * self.T_base_task) self.tsdf.integrate(img, self.intrinsic, extrinsic * self.T_base_task)
self.visualizer.scene_cloud(self.task_frame, self.tsdf.get_scene_cloud())
self.visualizer.path(self.viewpoints)
if self.filter_grasps: if self.filter_grasps:
tsdf_grid = self.tsdf.get_grid() out = self.vgn.predict(self.tsdf.get_grid())
out = self.vgn.predict(tsdf_grid)
t = (len(self.viewpoints) - 1) % self.T t = (len(self.viewpoints) - 1) % self.T
self.qual_hist[t, ...] = out.qual self.qual_hist[t, ...] = out.qual
self.rot_hist[t, ...] = out.rot self.rot_hist[t, ...] = out.rot
self.width_hist[t, ...] = out.width self.width_hist[t, ...] = out.width
mean_qual = self.compute_mean_quality()
self.visualizer.quality(self.task_frame, self.tsdf.voxel_size, mean_qual)
self.visualizer.scene_cloud(self.task_frame, self.tsdf.get_scene_cloud())
self.visualizer.path(self.viewpoints)
def compute_best_grasp(self): def compute_best_grasp(self):
if self.filter_grasps: if self.filter_grasps:
T = len(self.viewpoints) if len(self.viewpoints) // self.T == 0 else self.T qual = self.compute_mean_quality()
mask = self.qual_hist[:T, ...] > 0.0 index_list = select_local_maxima(qual, 0.9, 3)
# The next line prints a warning since some voxels have no grasp grasps = [g for i in index_list if (g := self.select_mean_at(i))]
# predictions resulting in empty slices.
qual = np.mean(self.qual_hist[:T, ...], axis=0, where=mask)
qual = np.nan_to_num(qual, copy=False)
qual = threshold_quality(qual, 0.9)
index_list = select_local_maxima(qual, 3)
grasps = []
for (i, j, k) in index_list:
ts = np.flatnonzero(self.qual_hist[:T, i, j, k])
if len(ts) < 3:
continue
oris = Rotation.from_quat([self.rot_hist[t, :, i, j, k] for t in ts])
ori = oris.mean()
# TODO check variance as well
pos = np.array([i, j, k], dtype=np.float64)
width = self.width_hist[ts, i, j, k].mean()
quality = self.qual_hist[ts, i, j, k].mean()
grasps.append(Grasp(Transform(ori, pos), width, quality))
else: else:
tsdf_grid = self.tsdf.get_grid() out = self.vgn.predict(self.tsdf.get_grid())
out = self.vgn.predict(tsdf_grid) qual = out.qual
qual = threshold_quality(out.qual, 0.9) index_list = select_local_maxima(qual, 0.9, 3)
index_list = select_local_maxima(qual, 3)
grasps = [select_at(out, i) for i in index_list] grasps = [select_at(out, i) for i in index_list]
grasps = [from_voxel_coordinates(g, self.tsdf.voxel_size) for g in grasps] grasps = [from_voxel_coordinates(g, self.tsdf.voxel_size) for g in grasps]
grasps = self.transform_grasps_to_base_frame(grasps) grasps = self.transform_and_reject(grasps)
grasps = self.select_grasps_on_target_object(grasps)
grasps = sort_grasps(grasps, self.score_fn) grasps = sort_grasps(grasps, self.score_fn)
self.visualizer.quality(self.task_frame, self.tsdf.voxel_size, qual)
self.visualizer.grasps(grasps)
return grasps[0] if len(grasps) > 0 else None return grasps[0] if len(grasps) > 0 else None
def transform_grasps_to_base_frame(self, grasps): def compute_mean_quality(self):
for grasp in grasps: qual = np.mean(self.qual_hist, axis=0, where=self.qual_hist > 0.0)
grasp.pose = self.T_base_task * grasp.pose return np.nan_to_num(qual, copy=False) # mean of empty slices returns nan
return grasps
def select_grasps_on_target_object(self, grasps): def select_mean_at(self, index):
i, j, k = index
ts = np.flatnonzero(self.qual_hist[:, i, j, k])
if len(ts) < 3:
return
ori = Rotation.from_quat([self.rot_hist[t, :, i, j, k] for t in ts])
pos = np.array([i, j, k], dtype=np.float64)
width = self.width_hist[ts, i, j, k].mean()
qual = self.qual_hist[ts, i, j, k].mean()
return Grasp(Transform(ori.mean(), pos), width, qual)
def transform_and_reject(self, grasps):
result = [] result = []
for grasp in grasps: for grasp in grasps:
tip = grasp.pose.rotation.apply([0, 0, 0.05]) + grasp.pose.translation pose = self.T_base_task * grasp.pose
tip = pose.rotation.apply([0, 0, 0.05]) + pose.translation
if self.bbox.is_inside(tip): if self.bbox.is_inside(tip):
grasp.pose = pose
result.append(grasp) result.append(grasp)
return result return result

View File

@ -1,3 +1,4 @@
from geometry_msgs.msg import PoseArray
import numpy as np import numpy as np
import rospy import rospy
@ -11,10 +12,17 @@ class Visualizer:
self.frame = frame self.frame = frame
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.grasps_pub = rospy.Publisher("grasps", PoseArray, queue_size=1)
def clear(self): def clear(self):
marker = Marker(action=Marker.DELETEALL) self.draw([Marker(action=Marker.DELETEALL)])
self.draw([marker]) msg = to_cloud_msg(self.frame, np.array([]))
self.scene_cloud_pub.publish(msg)
self.quality_pub.publish(msg)
msg = PoseArray()
msg.header.frame_id = self.frame
self.grasps_pub.publish(msg)
def bbox(self, bbox): def bbox(self, bbox):
pose = Transform.translation((bbox.min + bbox.max) / 2.0) pose = Transform.translation((bbox.min + bbox.max) / 2.0)
@ -23,10 +31,6 @@ class Visualizer:
marker = create_cube_marker(self.frame, pose, scale, color, ns="bbox") marker = create_cube_marker(self.frame, pose, scale, color, ns="bbox")
self.draw([marker]) self.draw([marker])
def scene_cloud(self, frame, cloud):
msg = to_cloud_msg(frame, np.asarray(cloud.points))
self.scene_cloud_pub.publish(msg)
def path(self, poses): def path(self, poses):
color = np.r_[31, 119, 180] / 255.0 color = np.r_[31, 119, 180] / 255.0
points = [p.translation for p in poses] points = [p.translation for p in poses]
@ -52,3 +56,18 @@ class Visualizer:
def draw(self, markers): def draw(self, markers):
self.marker_pub.publish(MarkerArray(markers=markers)) self.marker_pub.publish(MarkerArray(markers=markers))
def scene_cloud(self, frame, cloud):
msg = to_cloud_msg(frame, np.asarray(cloud.points))
self.scene_cloud_pub.publish(msg)
def quality(self, frame, voxel_size, quality):
points, values = grid_to_map_cloud(voxel_size, quality, threshold=0.8)
msg = to_cloud_msg(frame, points, intensities=values)
self.quality_pub.publish(msg)
def grasps(self, grasps):
msg = PoseArray()
msg.header.frame_id = self.frame
msg.poses = [to_pose_msg(grasp.pose) for grasp in grasps]
self.grasps_pub.publish(msg)

View File

@ -3,9 +3,12 @@ Panels:
Help Height: 78 Help Height: 78
Name: Displays Name: Displays
Property Tree Widget: Property Tree Widget:
Expanded: ~ Expanded:
- /Grasps1/Status1
- /Markers1
- /Markers1/Namespaces1
Splitter Ratio: 0.5 Splitter Ratio: 0.5
Tree Height: 471 Tree Height: 668
- Class: rviz/Selection - Class: rviz/Selection
Name: Selection Name: Selection
- Class: rviz/Tool Properties - Class: rviz/Tool Properties
@ -163,8 +166,6 @@ Visualization Manager:
Value: false Value: false
task: task:
Value: true Value: true
world:
Value: false
Marker Alpha: 1 Marker Alpha: 1
Marker Scale: 0.5 Marker Scale: 0.5
Name: TF Name: TF
@ -188,7 +189,6 @@ Visualization Manager:
{} {}
panda_rightfinger: panda_rightfinger:
{} {}
world:
task: task:
{} {}
Update Interval: 0 Update Interval: 0
@ -221,6 +221,53 @@ Visualization Manager:
Use Fixed Frame: true Use Fixed Frame: true
Use rainbow: true Use rainbow: true
Value: true Value: true
- Alpha: 0.20000000298023224
Autocompute Intensity Bounds: false
Autocompute Value Bounds:
Max Value: 10
Min Value: -10
Value: true
Axis: Z
Channel Name: intensity
Class: rviz/PointCloud2
Color: 255; 255; 255
Color Transformer: Intensity
Decay Time: 0
Enabled: true
Invert Rainbow: false
Max Color: 138; 226; 52
Max Intensity: 1
Min Color: 239; 41; 41
Min Intensity: 0
Name: Quality
Position Transformer: XYZ
Queue Size: 10
Selectable: true
Size (Pixels): 3
Size (m): 0.007499999832361937
Style: Boxes
Topic: /quality
Unreliable: false
Use Fixed Frame: true
Use rainbow: false
Value: true
- Alpha: 1
Arrow Length: 0.30000001192092896
Axes Length: 0.05000000074505806
Axes Radius: 0.009999999776482582
Class: rviz/PoseArray
Color: 255; 25; 0
Enabled: true
Head Length: 0.07000000029802322
Head Radius: 0.029999999329447746
Name: Grasps
Queue Size: 10
Shaft Length: 0.23000000417232513
Shaft Radius: 0.009999999776482582
Shape: Axes
Topic: /grasps
Unreliable: false
Value: true
- Alpha: 1 - Alpha: 1
Axes Length: 0.05000000074505806 Axes Length: 0.05000000074505806
Axes Radius: 0.009999999776482582 Axes Radius: 0.009999999776482582
@ -242,7 +289,7 @@ Visualization Manager:
Marker Topic: visualization_marker_array Marker Topic: visualization_marker_array
Name: Markers Name: Markers
Namespaces: Namespaces:
bbox: true bbox: false
path: true path: true
Queue Size: 100 Queue Size: 100
Value: true Value: true
@ -274,7 +321,7 @@ Visualization Manager:
Views: Views:
Current: Current:
Class: rviz/Orbit Class: rviz/Orbit
Distance: 1.2179546356201172 Distance: 1.2591626644134521
Enable Stereo Rendering: Enable Stereo Rendering:
Stereo Eye Separation: 0.05999999865889549 Stereo Eye Separation: 0.05999999865889549
Stereo Focal Distance: 1 Stereo Focal Distance: 1
@ -282,25 +329,25 @@ Visualization Manager:
Value: false Value: false
Field of View: 0.7853981852531433 Field of View: 0.7853981852531433
Focal Point: Focal Point:
X: 0.2475447803735733 X: 0.2026486098766327
Y: 0.03526053577661514 Y: -0.0014560874551534653
Z: 0.4393550157546997 Z: 0.3729882836341858
Focal Shape Fixed Size: true Focal Shape Fixed Size: true
Focal Shape Size: 0.05000000074505806 Focal Shape Size: 0.05000000074505806
Invert Z Axis: false Invert Z Axis: false
Name: Current View Name: Current View
Near Clip Distance: 0.009999999776482582 Near Clip Distance: 0.009999999776482582
Pitch: 0.2147984653711319 Pitch: 0.299798846244812
Target Frame: <Fixed Frame> Target Frame: <Fixed Frame>
Yaw: 5.383471488952637 Yaw: 5.213493824005127
Saved: ~ Saved: ~
Window Geometry: Window Geometry:
Displays: Displays:
collapsed: false collapsed: false
Height: 768 Height: 965
Hide Left Dock: false Hide Left Dock: false
Hide Right Dock: true Hide Right Dock: true
QMainWindow State: 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 QMainWindow State: 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
Selection: Selection:
collapsed: false collapsed: false
Time: Time:
@ -309,6 +356,6 @@ Window Geometry:
collapsed: false collapsed: false
Views: Views:
collapsed: true collapsed: true
Width: 997 Width: 1221
X: 876 X: 1113
Y: 127 Y: 263