RoboTwin / objects /models.py
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import trimesh
import urdfpy
import json
import numpy as np
PI = np.pi
red_color = [1.0, 0.0, 0.0, 0.5] # red, A=1 表示不透明
green_color = [0.0, 1.0, 0.0, 0.5] # green, A=1 表示不透明
blue_color = [0.0, 0.0, 1.0, 0.5] # blue, A=1 表示不透明
def create_model_data(id):
file_path = f"./base{id}.glb"
save_path = f"./model_data{id}.json"
with open(save_path, 'r') as json_file:
data = json.load(json_file)
with open(file_path, 'rb') as file_obj:
mesh = trimesh.load(file_obj, file_type='glb')
# 创建一个场景
scene = trimesh.Scene(mesh)
oriented_bounding_box = mesh.bounding_box_oriented
scale = [0.05,0.05,0.05]
target_sphere = trimesh.creation.icosphere(subdivisions=2, radius=0.15)
target_trans_matrix_sphere = trimesh.transformations.translation_matrix([0,0,0])
target_sphere.apply_transform(target_trans_matrix_sphere)
target_sphere.visual.vertex_colors = np.array([red_color] * len(target_sphere.vertices))
target_points_list = [target_trans_matrix_sphere.tolist()]
# # 可视化网格和坐标轴
scene.add_geometry(target_sphere)
contact_points_list = []
contact_point_discription_list = []
orientation_point_list = []
functional_matrix = []
def add_contact_point(point_radius, pose:list, euler:list, discription: str):
contact_sphere = trimesh.creation.icosphere(subdivisions=2, radius=point_radius)
contact_trans_matrix_sphere = trimesh.transformations.translation_matrix(pose) @ trimesh.transformations.euler_matrix(euler[0], euler[1], euler[2])
contact_sphere.apply_transform(contact_trans_matrix_sphere)
contact_sphere.visual.vertex_colors = np.array([red_color] * len(contact_sphere.vertices))
contact_points_list.append(contact_trans_matrix_sphere.tolist())
axis = trimesh.creation.axis(axis_length=1.5)
axis.apply_transform(contact_trans_matrix_sphere)
scene.add_geometry(axis)
scene.add_geometry(contact_sphere)
contact_point_discription_list.append(discription)
# add_contact_point(0.3, [0, 0, 0], [0, 0, 0], "Grasping the side of the bottle.")
# add_contact_point(0.3, [0, 0, 0], [0, PI/2, 0], "Grasping the side of the bottle.")
# add_contact_point(0.3, [0, 0, 0], [0, PI, 0], "Grasping the side of the bottle.")
# add_contact_point(0.3, [0, 0, 0], [0, -PI/2, 0], "Grasping the side of the bottle.")
# 旋转矩阵的参数顺序是 (X, Y, Z) to endpose axis
transform_matrix = trimesh.transformations.euler_matrix(0,0,0)
transform_matrix = transform_matrix.tolist()
# 方向点
# orientation_point = trimesh.creation.icosphere(subdivisions=2, radius=0.1)
# orientation_point_sphere = trimesh.transformations.translation_matrix([0,oriented_bounding_box.extents[1]/2,0])
# orientation_point.apply_transform(orientation_point_sphere)
# orientation_point.visual.vertex_colors = np.array([green_color] * len(orientation_point.vertices))
# orientation_point_list = orientation_point_sphere.tolist()
# scene.add_geometry(orientation_point)
# axis1
axis1 = trimesh.creation.axis(axis_length=1.5)
axis1.apply_transform(transform_matrix)
# functional_sphere = trimesh.creation.icosphere(subdivisions=2, radius=0.15)
# functional_trans_matrix_sphere = trimesh.transformations.translation_matrix([0,0,0]) @ trimesh.transformations.euler_matrix(0,0,0)
# functional_sphere.apply_transform(functional_trans_matrix_sphere)
# functional_sphere.visual.vertex_colors = np.array([blue_color] * len(functional_sphere.vertices))
# functional_matrix = functional_trans_matrix_sphere.tolist()
# axis = trimesh.creation.axis(axis_length=1.5)
# axis.apply_transform(functional_trans_matrix_sphere)
# scene.add_geometry(axis)
# scene.add_geometry(functional_sphere)
data = {
'center': oriented_bounding_box.centroid.tolist(), # 中心点
'extents': oriented_bounding_box.extents.tolist(), # 尺寸
'scale': scale, # 缩放
'target_pose': target_points_list, # 目标点矩阵
'contact_points_pose' : contact_points_list, # 抓取点矩阵(多个)
'transform_matrix': transform_matrix, # 模型到标轴的旋转矩阵
"functional_matrix": functional_matrix, # 功能点矩阵
'orientation_point': orientation_point_list,
'contact_points_group': [[0]],
'contact_points_mask': [True],
'contact_points_discription': contact_point_discription_list, # 抓取点描述
'target_point_discription': ["The center of the object."], # 目标点描述
'functional_point_discription': [""],
'orientation_point_discription': [""]
}
with open(save_path, 'w') as json_file:
json.dump(data, json_file, indent=4, separators=(',', ': '))
# 将坐标轴添加到场景
axis = trimesh.creation.axis(axis_length=1.5,origin_size= 0.05)
# scene.add_geometry(axis1)
scene.show()
if __name__ == "__main__":
id = ""
create_model_data(id)