Add more timers
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@@ -3,6 +3,7 @@ from sensor_msgs.msg import CameraInfo
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from pathlib import Path
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import rospy
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from .timer import Timer
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from .visualization import Visualizer
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from robot_helpers.model import KDLModel
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from robot_helpers.ros import tf
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@@ -52,6 +53,7 @@ class Policy:
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self.best_grasp = None
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self.x_d = None
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self.done = False
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self.info = {}
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def calibrate_task_frame(self):
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self.T_base_task = Transform.translation(self.bbox.center - np.full(3, 0.15))
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@@ -118,28 +120,30 @@ class MultiViewPolicy(Policy):
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def integrate(self, img, x):
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self.views.append(x)
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self.tsdf.integrate(img, self.intrinsic, x.inv() * self.T_base_task)
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self.vis.scene_cloud(self.task_frame, self.tsdf.get_scene_cloud())
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self.vis.map_cloud(self.task_frame, self.tsdf.get_map_cloud())
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self.vis.path(self.base_frame, self.views)
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tsdf_grid, voxel_size = self.tsdf.get_grid(), self.tsdf.voxel_size
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out = self.vgn.predict(tsdf_grid)
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with Timer("tsdf_integration"):
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self.tsdf.integrate(img, self.intrinsic, x.inv() * self.T_base_task)
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self.vis.scene_cloud(self.task_frame, self.tsdf.get_scene_cloud())
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self.vis.map_cloud(self.task_frame, self.tsdf.get_map_cloud())
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with Timer("grasp_prediction"):
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tsdf_grid, voxel_size = self.tsdf.get_grid(), self.tsdf.voxel_size
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out = self.vgn.predict(tsdf_grid)
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self.vis.quality(self.task_frame, self.tsdf.voxel_size, out.qual, 0.5)
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t = (len(self.views) - 1) % self.T
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self.qual_hist[t, ...] = out.qual
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grasps = select_grid(voxel_size, out, threshold=self.qual_threshold)
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grasps, scores = self.sort_grasps(grasps)
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with Timer("grasp_selection"):
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grasps = select_grid(voxel_size, out, threshold=self.qual_threshold)
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grasps, scores = self.sort_grasps(grasps)
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self.vis.grasps(self.base_frame, grasps, scores)
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if len(grasps) > 0:
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self.best_grasp = grasps[0]
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self.vis.best_grasp(self.base_frame, grasps[0], scores[0])
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self.vis.grasps(self.base_frame, grasps, scores)
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def compute_error(x_d, x):
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linear = x_d.translation - x.translation
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