modified: src/maintain/scripts/test.py
modified: src/yolov5_ros/src/yolov5/best.pt
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@@ -23,8 +23,8 @@ bridge = CvBridge()
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annulus_width = 10
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# 2d to 3d
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def computer_2d_3d(x, y, depth_roi, color_intrinsics):
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pz = np.mean(depth_roi) * 0.001
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def computer_2d_3d(x, y, depth_array, color_intrinsics):
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pz = depth_array[int(y), int(x)] / 1000
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px = (x - color_intrinsics[2]) * pz / color_intrinsics[0]
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py = (y - color_intrinsics[5]) * pz / color_intrinsics[4]
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return px, py, pz
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@@ -69,26 +69,24 @@ def box_callback(box, depth, color_info):
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# print(screw_x,screw_y)
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depth_array = np.array(depth_image, dtype=np.float32)
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depth_roi = depth_array[boundingBox.ymin:boundingBox.ymax, boundingBox.xmin:boundingBox.xmax]
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# depth_roi = depth_array[boundingBox.ymin:boundingBox.ymax, boundingBox.xmin:boundingBox.xmax]
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x, y, z = computer_2d_3d(screw_x, screw_y, depth_roi, color_intrinsics)
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x, y, z = computer_2d_3d(screw_x, screw_y, depth_array, color_intrinsics)
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# rospy.loginfo("screw pose: x: %f, y: %f, z: %f", x, y, z)
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# calculate normal direction of screw area
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p1x, p1y, p1z = computer_2d_3d(boundingBox.xmin-annulus_width, boundingBox.ymin-annulus_width, depth_roi, color_intrinsics)
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p2x, p2y, p2z = computer_2d_3d(boundingBox.xmax+annulus_width, boundingBox.ymin-annulus_width, depth_roi, color_intrinsics)
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p3x, p3y, p3z = computer_2d_3d(boundingBox.xmax+annulus_width, boundingBox.ymax+annulus_width, depth_roi, color_intrinsics)
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p4x, p4y, p4z = computer_2d_3d(boundingBox.xmin-annulus_width, boundingBox.ymax+annulus_width, depth_roi, color_intrinsics)
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p1x, p1y, p1z = computer_2d_3d(boundingBox.xmin-annulus_width, boundingBox.ymin-annulus_width, depth_array, color_intrinsics)
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p2x, p2y, p2z = computer_2d_3d(boundingBox.xmax+annulus_width, boundingBox.ymin-annulus_width, depth_array, color_intrinsics)
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p3x, p3y, p3z = computer_2d_3d(boundingBox.xmax+annulus_width, boundingBox.ymax+annulus_width, depth_array, color_intrinsics)
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p4x, p4y, p4z = computer_2d_3d(boundingBox.xmin-annulus_width, boundingBox.ymax+annulus_width, depth_array, color_intrinsics)
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p1 = [p1x, p1y, p1z]
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p2 = [p2x, p2y, p2z]
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p3 = [p3x, p3y, p3z]
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p4 = [p4x, p4y, p4z]
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normal = compute_normal_vector(p1, p2, p3, p4)
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# annulus_roi = depth_array[boundingBox.ymin-annulus_width:boundingBox.ymax+annulus_width, boundingBox.xmin-annulus_width:boundingBox.xmax+annulus_width]
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# normal = calculate_image_edge_plane_normal(annulus_roi)
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# print(normal)
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# normal vector to quaternion
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screw_quat = tf.transformations.quaternion_from_euler(0, 0, 0)
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screw_quat[0] = normal[0]
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@@ -116,10 +114,10 @@ def box_callback(box, depth, color_info):
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screw_tf.transform.translation.x = x
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screw_tf.transform.translation.y = y
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screw_tf.transform.translation.z = z
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screw_tf.transform.rotation.x = screw_quat_filtered[0]
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screw_tf.transform.rotation.y = screw_quat_filtered[1]
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screw_tf.transform.rotation.z = screw_quat_filtered[2]
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screw_tf.transform.rotation.w = screw_quat_filtered[3]
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screw_tf.transform.rotation.x = screw_quat[0]
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screw_tf.transform.rotation.y = screw_quat[1]
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screw_tf.transform.rotation.z = screw_quat[2]
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screw_tf.transform.rotation.w = screw_quat[3]
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tf_broadcaster.sendTransform(screw_tf)
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