更新 Trace/handeye_calibration.py
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@ -1,10 +1,10 @@
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import numpy as np
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from scipy.spatial.transform import Rotation as R
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def vec2rpy(normal,long_edge_direction):
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def vec2rpy(normal,short_edge_direction):
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# 将法向量的反方向作为机械臂末端执行器的新Z轴
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z_axis = normal / np.linalg.norm(normal) # 归一化并取反向作为Z轴
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x_axis = long_edge_direction/np.linalg.norm(long_edge_direction)
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z_axis = (-normal / np.linalg.norm(normal)) # 归一化并取反向作为Z轴
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x_axis = short_edge_direction/np.linalg.norm(short_edge_direction)
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x_axis = x_axis-np.dot(x_axis,z_axis)*z_axis
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x_axis = x_axis/np.linalg.norm(x_axis)
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@ -57,21 +57,21 @@ def R_matrix(x,y,z,u,v,w):
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def getPosition(x,y,z,a,b,c,rotation,points):
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target = np.asarray([x, y, z,1])
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camera2robot = np.loadtxt('./Trace/com_pose.txt', delimiter=' ') #相对目录且分隔符采用os.sep
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robot2base = rotation
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camera2base = robot2base @ camera2robot
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target_position = np.dot(camera2base, target)
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# robot2base = rotation
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# camera2base = robot2base @ camera2robot
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target_position = np.dot(camera2robot, target)
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corner_points_camera = np.asarray(points)
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corner_points_base = np.dot(camera2base[:3, :3], corner_points_camera.T).T + camera2base[:3, 3]
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corner_points_base = np.dot(camera2robot[:3, :3], corner_points_camera.T).T + camera2robot[:3, 3]
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edges = np.array([corner_points_base[i] - corner_points_base[i - 1] for i in range(len(corner_points_base))])
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edge_lengths = np.linalg.norm(edges, axis=1)
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max_edge_idx = np.argmax(edge_lengths)
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long_edge_direction = edges[max_edge_idx] / edge_lengths[max_edge_idx] # 单位化方向向量
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min_edge_idx = np.argmin(edge_lengths)
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short_edge_direction = edges[min_edge_idx] / edge_lengths[min_edge_idx] # 单位化方向向量
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angle = np.asarray([a,b,c])
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noraml = camera2base[:3, :3]@angle
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noraml_base = vec2rpy(noraml,long_edge_direction)
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noraml = camera2robot[:3, :3]@angle
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noraml_base = vec2rpy(noraml,short_edge_direction)
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print(target_position, noraml_base)
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print("111",target_position, noraml_base)
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return target_position,noraml_base
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