修改姿态问题
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@ -54,7 +54,7 @@ def R_matrix(x,y,z,u,v,w):
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# 图像识别结果:xyz和法向量
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def getPosition(x,y,z,a,b,c,rotation,points):
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def getPosition(x,y,z,a,b,c,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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@ -62,16 +62,22 @@ def getPosition(x,y,z,a,b,c,rotation,points):
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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(T_BC[:3, :3], corner_points_camera.T).T + T_BC[:3, 3]
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edges = np.array([corner_points_base[1] - corner_points_base[0]]) # for i in range(len(corner_points_base))])
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edge_lengths = np.linalg.norm(edges, axis=1)
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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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corner_points_base = np.dot(camera2robot[:3, :3], corner_points_camera.T).T + camera2robot[:3, 3]
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# 按照 x 轴排序
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sorted_points = corner_points_base[np.argsort(corner_points_base[:, 0])]
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# 选出x轴较大的两个点
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point_1 = sorted_points[-1] # x值较大的点
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point_2 = sorted_points[-2] # x值较小的点
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# 根据 y 值选择差值方向
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if point_1[1] < point_2[1]:
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edge_vector = point_1 - point_2
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else:
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edge_vector = point_2 - point_1
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# 单位化方向向量
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short_edge_direction = edge_vector / np.linalg.norm(edge_vector)
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angle = np.asarray([a,b,c])
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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("111",target_position, noraml_base)
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return target_position,noraml_base
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