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Running
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Zero
File size: 6,877 Bytes
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import json
from xml.etree.ElementTree import Element, SubElement, tostring, ElementTree
from xml.dom.minidom import parseString
import pybullet as p
import pybullet_data
import os
from PIL import Image # 使用Pillow保存图像
import numpy as np
import trimesh # 用于处理3D网格
import imageio
import math
def degrees_to_radians(degrees):
"""Convert an angle from degrees to radians."""
return degrees * math.pi / 180.0
def ply_to_obj(ply_filename, obj_filename, urdf_filename, part, json_data):
"""Convert a PLY file to OBJ format using trimesh."""
base_path = '/'.join(urdf_filename.split('/')[:-1])
mesh = trimesh.load(os.path.join(base_path, ply_filename), force='mesh')
print(ply_filename, mesh.bounding_box.centroid)
# mesh.vertices -= (mesh.bounding_box.centroid)
# find base (parent == -1)
base_part_id = next((p['id'] for p in json_data['diffuse_tree'] if p['parent'] == -1), None)
if 'joint' in part.keys():
mesh.vertices -= (mesh.bounding_box.centroid + part['joint']['axis']['origin'])
while part['parent'] != base_part_id:
parent_part = next((p for p in json_data['diffuse_tree'] if p['id'] == part['parent']), None)
if parent_part is None:
break
mesh.vertices -= (parent_part['joint']['axis']['origin'])
part = parent_part
else:
mesh.vertices -= (mesh.bounding_box.centroid)
mesh.export(os.path.join(base_path, obj_filename))
def create_urdf_from_json(json_data, urdf_filename, parent_part=None):
robot = Element('robot', name='articulate_object')
def add_link(parent, part, urdf_filename, json_data, base=False):
link = SubElement(parent, 'link', name=f"link_{part['id']}")
# 将PLY文件转换为OBJ文件
ply_path = part['objs'][0]
obj_path = os.path.splitext(ply_path)[0] + '.obj'
# if not os.path.exists(obj_path):
ply_to_obj(ply_path, obj_path, urdf_filename, part, json_data)
visual = SubElement(link, 'visual')
origin = SubElement(visual, 'origin', xyz=" ".join(map(str, part['aabb']['center'])), rpy="0 0 0")
geometry = SubElement(visual, 'geometry')
mesh = SubElement(geometry, 'mesh', filename=obj_path) # 使用转换后的OBJ路径
def add_joint(parent, child_part, parent_part):
joint = SubElement(parent, 'joint', name=f"{parent_part['id']}_{child_part['id']}_joint", type=child_part['joint']['type'])
# for i in range(3):
# child_part['joint']['axis']['origin'][i] -= (child_part['aabb']['size'][i])
origin = SubElement(joint, 'origin', xyz=" ".join(map(str, child_part['joint']['axis']['origin'])), rpy="0 0 0")
# origin = SubElement(joint, 'origin', xyz=" 0 0 0 ", rpy="0 0 0")
axis = SubElement(joint, 'axis', xyz=" ".join(map(str, child_part['joint']['axis']['direction'])))
if child_part['joint']['type'] == 'revolute':
child_part['joint']['range'][0] = degrees_to_radians(child_part['joint']['range'][0])
child_part['joint']['range'][1] = degrees_to_radians(child_part['joint']['range'][1])
lower, upper = child_part['joint']['range']
if upper < lower:
lower, upper = upper, lower
limit = SubElement(
joint, 'limit',
lower=str(lower),
upper=str(upper),
effort="10",
velocity="1"
)
parent_element = SubElement(joint, 'parent', link=f"link_{parent_part['id']}")
child_element = SubElement(joint, 'child', link=f"link_{child_part['id']}")
base_part = json_data['diffuse_tree'][0]
add_link(robot, base_part, urdf_filename, json_data, base=True)
for part in json_data['diffuse_tree'][1:]:
base_part = next((p for p in json_data['diffuse_tree'] if p['parent'] == -1), None)
parent_part = next((p for p in json_data['diffuse_tree'] if p['id'] == part['parent']), None)
add_link(robot, part, urdf_filename, json_data)
if parent_part:
add_joint(robot, part, parent_part)
xmlstr = parseString(tostring(robot)).toprettyxml(indent=" ")
with open(urdf_filename, "w") as f:
f.write(xmlstr)
def pybullet_render(urdf_path, target_dir, num_frames, distance=3, fov=60):
physicsClient = p.connect(p.DIRECT)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
try:
robot = p.loadURDF(urdf_path, [0, 0, 0])
except Exception as e:
print(e)
return
# Disable part mesh colors.
# for i in range(-1, p.getNumJoints(robot)):
# rgba = [np.random.uniform(0.2, 1.0), np.random.uniform(0.2, 1.0), np.random.uniform(0.2, 1.0), 1]
# p.changeVisualShape(robot, linkIndex=i, rgbaColor=rgba)
p.resetBasePositionAndOrientation(robot, [0, 0, 0], [0, 0.7071, 0.7071, 0])
joint_info = []
for i in range(p.getNumJoints(robot)):
info = p.getJointInfo(robot, i)
if info[2] != p.JOINT_FIXED:
joint_info.append({
'index': info[0],
'type': info[2],
'name': info[1].decode('utf-8'),
'lower_limit': info[8],
'upper_limit': info[9],
'initial_position': p.getJointState(robot, info[0])[0]
})
joint_positions = {}
for joint in joint_info:
start = joint['lower_limit']
end = joint['upper_limit']
joint_positions[joint['index']] = np.concatenate((np.linspace(start, end, num_frames), np.linspace(end, start, num_frames)))
gif_frames = []
for frame in range(num_frames*2):
# import pdb; pdb.set_trace()
for joint in joint_info:
p.resetJointState(robot, joint['index'], joint_positions[joint['index']][frame])
joint_state = p.getJointState(robot, joint['index'])
p.stepSimulation()
viewMatrix = p.computeViewMatrixFromYawPitchRoll(
cameraTargetPosition=[0, 0, 0],
distance=3.0,
yaw=-150,
pitch=-10,
roll=0,
upAxisIndex=2
)
projectionMatrix=p.computeProjectionMatrixFOV(
fov=fov, ##60
aspect=1.0,
nearVal=0.1, farVal=100)
width, height, rgbPixels, depthBuffer, segMask = p.getCameraImage(
width=1024, height=1024, viewMatrix=viewMatrix,
projectionMatrix=projectionMatrix,
renderer=p.ER_BULLET_HARDWARE_OPENGL)
#get rgba image
rgba_image = np.reshape(rgbPixels, (height, width, 4))
# rgba_image[np.all(rgba_image[:, :, :3] == 255, axis=-1)] = [0, 0, 0, 0]
gif_frames.append(rgba_image[:, :, :3])
p.disconnect()
imageio.mimsave(f'{target_dir}/animation.gif', gif_frames, fps=8, loop=0)
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