File size: 4,961 Bytes
be18b0d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5060d3d
be18b0d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5060d3d
7ca86f7
5060d3d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
be18b0d
5060d3d
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
import numpy as np
import os
import glob
import re
from pathlib import Path

from pydrake.all import (
    DiagramBuilder,
    MultibodyPlant,
    AddMultibodyPlantSceneGraph,
    Parser,
    RigidTransform,
    StartMeshcat,
    MeshcatVisualizer,
)

ROBOT_FAKE_HAND_PATH = "models/g1/g1_29dof.urdf"
ROBOT_SPHERE_HAND_PATH = "models/g1/g1_29dof_spherehand.urdf"
LARGEBOX_PATH = "models/largebox/largebox.urdf"
CHAIR_PATH = "models/chair/chair.urdf"


def create_plant(
    robot_model_path: str, object_model_path: str | list[str] | None = None
):
    builder = DiagramBuilder()
    plant = MultibodyPlant(1e-3)
    plant, scene_graph = AddMultibodyPlantSceneGraph(builder, plant=plant)
    parser = Parser(plant=plant, scene_graph=scene_graph)
    parser.AddModels(robot_model_path)
    if object_model_path is not None:
        if isinstance(object_model_path, list):
            parser.SetAutoRenaming(True)
            for model_path in object_model_path:
                parser.AddModels(model_path)
        else:
            parser.AddModels(object_model_path)
    parser.AddModels("models/ground_box.sdf")
    plant.WeldFrames(
        plant.world_frame(),
        plant.GetFrameByName("ground_link"),
        RigidTransform(np.array([0, 0, -0.5])),
    )
    plant.Finalize()
    meshcat = StartMeshcat()
    vis = MeshcatVisualizer.AddToBuilder(builder, scene_graph, meshcat)
    diagram = builder.Build()
    return plant, vis, diagram


def draw_q_knots(vis, plant, diagram, q_knots, fps):
    vis.DeleteRecording()
    vis.StartRecording()
    t_knots = np.arange(len(q_knots)) * fps
    context = diagram.CreateDefaultContext()
    plant_context = plant.GetMyMutableContextFromRoot(context)
    vis_context = vis.GetMyMutableContextFromRoot(context)
    for t, q in zip(t_knots, q_knots):
        context.SetTime(t)
        plant.SetPositions(plant_context, q)
        vis.ForcedPublish(vis_context)
    vis.StopRecording()
    vis.PublishRecording()


def _natural_sort_key(text: str):
    parts = re.findall(r"\d+|\D+", text)
    key = []
    for part in parts:
        if part.isdigit():
            key.append((0, int(part)))
        else:
            key.append((1, part.lower()))
    return tuple(key)


def find_files(base_path: str, filter: str = "", extension: str = ".npz"):
    pattern = os.path.join(base_path, f"*{filter}*{extension}")
    files = glob.glob(pattern)
    return sorted(files, key=lambda p: _natural_sort_key(os.path.basename(p)))


def visualize_robot_object():
    robot_object_files = find_files("robot-object", filter="original")
    plant, vis, diagram = create_plant(ROBOT_FAKE_HAND_PATH, LARGEBOX_PATH)
    for robot_object_file in robot_object_files:
        print(str(Path(robot_object_file).stem))
        data = np.load(robot_object_file)
        q_knots = data["qpos"]
        fps = data["fps"]
        draw_q_knots(vis, plant, diagram, q_knots, 1 / fps)
        input()


def visualize_robot_terrain():
    robot_terrain_files = find_files("robot-terrain", filter="z_scale_1.0")
    for robot_terrain_file in robot_terrain_files:
        file_name = str(Path(robot_terrain_file).stem)
        print(file_name)
        object_folder_name = "models/terrain/" + file_name[:8]
        z_scale = file_name[8:]
        object_model_path = object_folder_name + "/multi_boxes" + z_scale + ".urdf"
        plant, vis, diagram = create_plant(ROBOT_SPHERE_HAND_PATH, object_model_path)
        data = np.load(robot_terrain_file)
        q_knots = data["qpos"]
        fps = data["fps"]
        draw_q_knots(vis, plant, diagram, q_knots, 1 / fps)
        input()


def visualize_robot_object_terrain():
    robot_object_terrain_files = find_files("robot-object-terrain")
    for robot_object_terrain_file in robot_object_terrain_files:
        file_name = str(Path(robot_object_terrain_file).stem)
        print(file_name)
        terrain_folder_name = "models/terrain/" + file_name[:8]
        if "z_scale" in file_name:
            z_scale = file_name[-12:]
        else:
            z_scale = "_z_scale_1.0"
        terrain_model_path = terrain_folder_name + "/multi_boxes" + z_scale + ".urdf"
        if "original" in file_name:
            object_model_path = [CHAIR_PATH, terrain_model_path]
        else:
            chair_scale = file_name[9:25]
            chair_model_path = "models/chair/" + chair_scale + ".urdf"
            object_model_path = [chair_model_path, terrain_model_path]
        plant, vis, diagram = create_plant(ROBOT_SPHERE_HAND_PATH, object_model_path)
        data = np.load(robot_object_terrain_file)
        q_knots = data["qpos"]
        fps = data["fps"]
        draw_q_knots(vis, plant, diagram, q_knots, 1 / fps)
        input()


if __name__ == "__main__":
    task = "object-terrain"
    if task == "object":
        visualize_robot_object()
    elif task == "terrain":
        visualize_robot_terrain()
    elif task == "object-terrain":
        visualize_robot_object_terrain()