Spaces:
Running
on
Zero
Running
on
Zero
File size: 19,632 Bytes
c28dddb |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 |
# import os, sys
# sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..'))
# import trimesh
# import pyrender
# import numpy as np
# # import open3d as o3d
# from copy import deepcopy
# os.environ['PYOPENGL_PLATFORM'] = 'egl'
# from my_utils.refs import semantic_color_ref, graph_color_ref, joint_color_ref
# def get_rotation_axis_angle(k, theta):
# '''
# Rotation matrix converter from axis-angle using Rodrigues' rotation formula
# Args:
# k (np.ndarray): 3D unit vector representing the axis to rotate about.
# theta (float): Angle to rotate with in radians.
# Returns:
# R (np.ndarray): 3x3 rotation matrix.
# '''
# if np.linalg.norm(k) == 0.:
# return np.eye(3)
# k = k / np.linalg.norm(k)
# kx, ky, kz = k[0], k[1], k[2]
# cos, sin = np.cos(theta), np.sin(theta)
# R = np.zeros((3, 3), dtype=np.float32)
# R[0, 0] = cos + (kx**2) * (1 - cos)
# R[0, 1] = kx * ky * (1 - cos) - kz * sin
# R[0, 2] = kx * kz * (1 - cos) + ky * sin
# R[1, 0] = kx * ky * (1 - cos) + kz * sin
# R[1, 1] = cos + (ky**2) * (1 - cos)
# R[1, 2] = ky * kz * (1 - cos) - kx * sin
# R[2, 0] = kx * kz * (1 - cos) - ky * sin
# R[2, 1] = ky * kz * (1 - cos) + kx * sin
# R[2, 2] = cos + (kz**2) * (1 - cos)
# return R
# def rescale_axis(jtype, axis_d, axis_o, box_center):
# '''
# Function to rescale the axis for rendering
# Args:
# - jtype (int): joint type
# - axis_d (np.array): axis direction
# - axis_o (np.array): axis origin
# - box_center (np.array): bounding box center
# Returns:
# - center (np.array): rescaled axis origin
# - axis_d (np.array): rescaled axis direction
# '''
# if jtype == 0 or jtype == 1:
# return [0., 0., 0.], [0., 0., 0.]
# if jtype == 3 or jtype == 4:
# center = box_center
# else:
# center = axis_o + np.dot(axis_d, box_center-axis_o) * axis_d
# return center.tolist(), axis_d.tolist()
# # def get_axis_mesh(k, axis_o, bbox_center, joint_type):
# # '''
# # Function to get the axis mesh
# # Args:
# # - k (np.array): axis direction
# # - center (np.array): axis origin
# # - bbox_center (np.array): bounding box center
# # - joint_type (int): joint type
# # '''
# # if joint_type == 0 or joint_type == 1 or np.linalg.norm(k) == 0. :
# # return None
# # k = k / np.linalg.norm(k)
# # if joint_type == 3 or joint_type == 4: # prismatic or screw
# # axis_o = bbox_center
# # else: # revolute or continuous
# # axis_o = axis_o + np.dot(k, bbox_center-axis_o) * k
# # axis = o3d.geometry.TriangleMesh.create_arrow(cylinder_radius=0.015, cone_radius=0.03, cylinder_height=1.0, cone_height=0.08)
# # arrow = np.array([0., 0., 1.], dtype=np.float32)
# # n = np.cross(arrow, k)
# # rad = np.arccos(np.dot(arrow, k))
# # R_arrow = get_rotation_axis_angle(n, rad)
# # axis.rotate(R_arrow, center=(0, 0, 0))
# # axis.translate(axis_o[:3])
# # axis.compute_vertex_normals()
# # vertices = np.asarray(axis.vertices)
# # faces = np.asarray(axis.triangles)
# # trimesh_axis = trimesh.Trimesh(vertices=vertices, faces=faces)
# # # trimesh_axis.visual.vertex_colors = np.array([0, 0, 0, 1.0], dtype=np.float32)
# # trimesh_axis.visual.vertex_colors = np.repeat(np.array([0, 0, 0, 1.0]), vertices.shape[0], axis=0)
# # return trimesh_axis
# def get_camera_pose(eye, look_at, up):
# """
# Compute the 4x4 transformation matrix for a camera pose.
# Parameters:
# eye (np.ndarray): 3D position of the camera.
# look_at (np.ndarray): 3D point the camera is looking at.
# up (np.ndarray): Up vector.
# Returns:
# pose (np.ndarray): 4x4 transformation matrix representing the camera pose.
# """
# # Compute the forward, right, and new up vectors
# forward = (look_at - eye)
# forward = forward / np.linalg.norm(forward)
# right = np.cross(forward, up)
# right = right / np.linalg.norm(right)
# new_up = np.cross(right, forward)
# new_up = new_up / np.linalg.norm(new_up)
# # Create rotation matrix
# pose = np.eye(4)
# pose[0:3, 0] = right
# pose[0:3, 1] = new_up
# pose[0:3, 2] = -forward # Negative because the camera looks along the negative Z axis in its local coordinate
# pose[0:3, 3] = eye
# return pose
# def get_rotation_axis_angle_box(axis, angle):
# axis = axis / np.linalg.norm(axis)
# return trimesh.transformations.rotation_matrix(angle, axis)
# def get_colored_box(center, size, jtype=None, jrange=None, axis_d=None, axis_o=None):
# '''
# Create a solid color box and its animated state if joint info is provided
# Args:
# center (np.array): box center (3,)
# size (np.array): box size (3,)
# color (list or array): RGBA color, e.g. [255, 0, 0, 255]
# jtype (int): joint type (2=rot, 3=slide, 4=screw, 5=continuous)
# jrange (list): joint motion range
# axis_d (np.array): axis direction (3,)
# axis_o (np.array): axis origin (3,)
# Returns:
# box: trimesh.Trimesh at rest
# box_anim: trimesh.Trimesh after transformation
# '''
# size = np.clip(size, a_min=0.005, a_max=3.0)
# center = np.clip(center, a_min=-3.0, a_max=3.0)
# # Rest state box
# box = trimesh.creation.box(extents=size)
# box.apply_translation(center)
# # Animated state (deepcopy + transform)
# box_anim = deepcopy(box)
# if jtype is not None:
# if jtype == 2: # revolute
# theta = np.deg2rad(jrange[1])
# T = trimesh.transformations.translation_matrix(axis_o)
# R_3 = get_rotation_axis_angle(axis_d, theta)
# R = np.eye(4, dtype=np.float32)
# R[:3, :3] = R_3
# T_inv = trimesh.transformations.translation_matrix(-axis_o)
# box_anim.apply_transform(T @ R @ T_inv)
# elif jtype == 3: # prismatic
# dist = float(jrange[1])
# T = trimesh.transformations.translation_matrix(axis_d * dist)
# box_anim.apply_transform(T)
# elif jtype == 4: # screw
# theta = np.pi / 4
# dist = float(jrange[1])
# T1 = trimesh.transformations.translation_matrix(-axis_o)
# R = get_rotation_axis_angle(axis_d, theta)
# T2 = trimesh.transformations.translation_matrix(axis_o + axis_d * dist)
# box_anim.apply_transform(T1 @ R @ T2)
# elif jtype == 5: # continuous
# theta = np.pi / 4
# T = trimesh.transformations.translation_matrix(-axis_o)
# R_3 = get_rotation_axis_angle(axis_d, theta)
# R = np.eye(4, dtype=np.float32)
# R[:3, :3] = R_3
# T_inv = trimesh.transformations.translation_matrix(axis_o)
# box_anim.apply_transform(T @ R @ T_inv)
# return box, box_anim
# # def get_bbox_mesh_pair(center, size, radius=0.01, jtype=None, jrange=None, axis_d=None, axis_o=None):
# # '''
# # Function to get the bounding box mesh pair
# # Args:
# # - center (np.array): bounding box center
# # - size (np.array): bounding box size
# # - radius (float): radius of the cylinder
# # - jtype (int): joint type
# # - jrange (list): joint range
# # - axis_d (np.array): axis direction
# # - axis_o (np.array): axis origin
# # Returns:
# # - trimesh_box (trimesh object): trimesh object for the bbox at resting state
# # - trimesh_box_anim (trimesh object): trimesh object for the bbox at opening state
# # '''
# # size = np.clip(size, a_max=3, a_min=0.005)
# # center = np.clip(center, a_max=3, a_min=-3)
# # line_box = o3d.geometry.TriangleMesh()
# # z_cylinder = o3d.geometry.TriangleMesh.create_cylinder(radius=radius, height=size[2])
# # y_cylinder = o3d.geometry.TriangleMesh.create_cylinder(radius=radius, height=size[1])
# # R_y = get_rotation_axis_angle(np.array([1., 0., 0.], dtype=np.float32), np.pi / 2)
# # y_cylinder.rotate(R_y, center=(0, 0, 0))
# # x_cylinder = o3d.geometry.TriangleMesh.create_cylinder(radius=radius, height=size[0])
# # R_x = get_rotation_axis_angle(np.array([0., 1., 0.], dtype=np.float32), np.pi / 2)
# # x_cylinder.rotate(R_x, center=(0, 0, 0))
# # z1 = deepcopy(z_cylinder)
# # z1.translate(np.array([-size[0] / 2, size[1] / 2, 0.], dtype=np.float32))
# # line_box += z1.translate(center[:3])
# # z2 = deepcopy(z_cylinder)
# # z2.translate(np.array([size[0] / 2, size[1] / 2, 0.], dtype=np.float32))
# # line_box += z2.translate(center[:3])
# # z3 = deepcopy(z_cylinder)
# # z3.translate(np.array([-size[0] / 2, -size[1] / 2, 0.], dtype=np.float32))
# # line_box += z3.translate(center[:3])
# # z4 = deepcopy(z_cylinder)
# # z4.translate(np.array([size[0] / 2, -size[1] / 2, 0.], dtype=np.float32))
# # line_box += z4.translate(center[:3])
# # y1 = deepcopy(y_cylinder)
# # y1.translate(np.array([-size[0] / 2, 0., size[2] / 2], dtype=np.float32))
# # line_box += y1.translate(center[:3])
# # y2 = deepcopy(y_cylinder)
# # y2.translate(np.array([size[0] / 2, 0., size[2] / 2], dtype=np.float32))
# # line_box += y2.translate(center[:3])
# # y3 = deepcopy(y_cylinder)
# # y3.translate(np.array([-size[0] / 2, 0., -size[2] / 2], dtype=np.float32))
# # line_box += y3.translate(center[:3])
# # y4 = deepcopy(y_cylinder)
# # y4.translate(np.array([size[0] / 2, 0., -size[2] / 2], dtype=np.float32))
# # line_box += y4.translate(center[:3])
# # x1 = deepcopy(x_cylinder)
# # x1.translate(np.array([0., -size[1] / 2, size[2] / 2], dtype=np.float32))
# # line_box += x1.translate(center[:3])
# # x2 = deepcopy(x_cylinder)
# # x2.translate(np.array([0., size[1] / 2, size[2] / 2], dtype=np.float32))
# # line_box += x2.translate(center[:3])
# # x3 = deepcopy(x_cylinder)
# # x3.translate(np.array([0., -size[1] / 2, -size[2] / 2], dtype=np.float32))
# # line_box += x3.translate(center[:3])
# # x4 = deepcopy(x_cylinder)
# # x4.translate(np.array([0., size[1] / 2, -size[2] / 2]))
# # line_box += x4.translate(center[:3])
# # # transform
# # line_box_anim = deepcopy(line_box)
# # if jtype == 2: # revolute
# # theta = np.deg2rad(jrange[1])
# # line_box_anim.translate(-axis_o)
# # R = get_rotation_axis_angle(axis_d, theta)
# # line_box_anim.rotate(R, center=(0, 0, 0))
# # line_box_anim.translate(axis_o)
# # elif jtype == 3: # prismatic
# # dist = np.array(jrange[1], dtype=np.float32)
# # line_box_anim.translate(axis_d * dist)
# # elif jtype == 4: # screw
# # dist = np.array(jrange[1], dtype=np.float32)
# # theta = 0.25 * np.pi
# # R = get_rotation_axis_angle(axis_d, theta)
# # line_box_anim.translate(-axis_o)
# # line_box_anim.rotate(R, center=(0, 0, 0))
# # line_box_anim.translate(axis_o)
# # line_box_anim.translate(axis_d * dist)
# # elif jtype == 5: # continuous
# # theta = 0.25 * np.pi
# # R = get_rotation_axis_angle(axis_d, theta)
# # line_box_anim.translate(-axis_o)
# # line_box_anim.rotate(R, center=(0, 0, 0))
# # line_box_anim.translate(axis_o)
# # vertices = np.asarray(line_box.vertices)
# # faces = np.asarray(line_box.triangles)
# # trimesh_box = trimesh.Trimesh(vertices=vertices, faces=faces)
# # trimesh_box.visual.vertex_colors = np.array([0.0, 1.0, 1.0, 1.0], dtype=np.float32)
# # vertices_anim = np.asarray(line_box_anim.vertices)
# # faces_anim = np.asarray(line_box_anim.triangles)
# # trimesh_box_anim = trimesh.Trimesh(vertices=vertices_anim, faces=faces_anim)
# # trimesh_box_anim.visual.vertex_colors = np.array([0.0, 1.0, 1.0, 1.0], dtype=np.float32)
# # return trimesh_box, trimesh_box_anim
# def get_color_from_palette(palette, idx):
# '''
# Function to get the color from the palette
# Args:
# - palette (list): list of color reference
# - idx (int): index of the color
# Returns:
# - color (np.array): color in the index of idx
# '''
# ref = palette[idx % len(palette)]
# ref_list = [int(i) for i in ref[4:-1].split(',')]
# if idx % len(palette) == 0:
# ref_list.append(120)
# else:
# ref_list.append(255)
# color = np.array([ref_list], dtype=np.float32) / 255.
# return color
# def render_anim_parts(aabbs, axiss, resolution=256):
# '''
# Function to render the 3D bounding boxes and axes in the scene
# Args:
# aabbs: list of trimesh objects for the bounding box of each part
# axiss: list of trimesh objects for the axis of each part
# resolution: resolution of the rendered image
# Returns:
# color_img: rendered image
# '''
# n_parts = len(aabbs)
# # build mesh for each 3D bounding box
# scene = pyrender.Scene()
# for i in range(n_parts):
# scene.add(aabbs[i])
# if axiss[i] is not None:
# scene.add(axiss[i])
# # Add light to the scene
# scene.ambient_light = np.full(shape=3, fill_value=1.5, dtype=np.float32)
# light = pyrender.DirectionalLight(color=np.ones(2), intensity=5.0)
# # Add camera to the scene
# pose = get_camera_pose(eye=np.array([1.5, 1.2, 4.5]), look_at=np.array([0, 0, 0]), up=np.array([0, 1, 0]))
# camera = pyrender.PerspectiveCamera(yfov=np.pi / 5.0, aspectRatio=1.0)
# scene.add(light, pose=pose)
# scene.add(camera, pose=pose)
# # Offscreen Rendering
# offscreen_renderer = pyrender.OffscreenRenderer(resolution, resolution)
# # Render the scene
# color_img, _ = offscreen_renderer.render(scene)
# # Cleanup
# offscreen_renderer.delete()
# scene.clear()
# return color_img
# def draw_boxes_axiss_anim(aabbs_0, aabbs_1, axiss, mode='graph', resolution=256, types=None):
# '''
# Function to draw the 3D bounding boxes and axes of the two frames
# Args:
# aabbs_0: list of trimesh objects for the bounding box of each part in the resting state
# aabbs_1: list of trimesh objects for the bounding box of each part in the open state
# axiss: list of trimesh objects for the axis of each part
# mode:
# 'graph' using palette corresponding to graph node,
# 'jtype' using palette corresponding to joint type,
# 'semantic' using palette corresponding to semantic label
# resolution: resolution of the rendered image
# types: ids corresponding to each joint type or semantic label, if mode is 'jtype' or 'semantic'
# '''
# n_parts = len(aabbs_0)
# ren_aabbs_0 = []
# ren_aabbs_1 = []
# ren_axiss = []
# if mode == 'graph':
# palette = graph_color_ref
# # Add meshes to the scene
# for i in range(n_parts):
# color = get_color_from_palette(palette, i)
# aabb_0 = pyrender.Mesh.from_trimesh(aabbs_0[i], smooth=False)
# aabb_0.primitives[0].color_0 = color.repeat(aabb_0.primitives[0].positions.shape[0], axis=0)
# ren_aabbs_0.append(aabb_0)
# aabb_1 = pyrender.Mesh.from_trimesh(aabbs_1[i], smooth=False)
# aabb_1.primitives[0].color_0 = color.repeat(aabb_1.primitives[0].positions.shape[0], axis=0)
# ren_aabbs_1.append(aabb_1)
# if axiss[i] is not None:
# axis = pyrender.Mesh.from_trimesh(axiss[i], smooth=False)
# axis.primitives[0].color_0 = color.repeat(axis.primitives[0].positions.shape[0], axis=0)
# ren_axiss.append(axis)
# else:
# ren_axiss.append(None)
# elif mode == 'jtype' or mode == 'semantic':
# assert types is not None
# palette = joint_color_ref if mode == 'jtype' else semantic_color_ref
# # Add meshes to the scene
# for i in range(n_parts):
# color = get_color_from_palette(palette, types[i])
# aabb_0 = pyrender.Mesh.from_trimesh(aabbs_0[i], smooth=False)
# aabb_0.primitives[0].color_0 = color.repeat(aabb_0.primitives[0].positions.shape[0], axis=0)
# ren_aabbs_0.append(aabb_0)
# aabb_1 = pyrender.Mesh.from_trimesh(aabbs_1[i], smooth=False)
# aabb_1.primitives[0].color_0 = color.repeat(aabb_1.primitives[0].positions.shape[0], axis=0)
# ren_aabbs_1.append(aabb_1)
# if axiss[i] is not None:
# axis = pyrender.Mesh.from_trimesh(axiss[i], smooth=False)
# ren_axiss.append(axis)
# else:
# ren_axiss.append(None)
# else:
# raise ValueError('mode must be either graph or type')
# img0 = render_anim_parts(ren_aabbs_0, ren_axiss, resolution=resolution)
# img1 = render_anim_parts(ren_aabbs_1, ren_axiss, resolution=resolution)
# return np.concatenate([img0, img1], axis=1)
# def prepare_meshes(info_dict):
# """
# Function to prepare the bbox and axis meshes for visualization
# Args:
# - info_dict (dict): output json containing the graph information
# """
# from my_utils.refs import joint_ref, sem_ref
# tree = info_dict["diffuse_tree"]
# bbox_0, bbox_1, axiss, labels, jtypes = [], [], [], [], []
# root_id = 0
# # get root id
# for node in tree:
# if node["parent"] == -1:
# root_id = node["id"]
# for node in tree:
# # retrieve info
# box_cen = np.array(node["aabb"]["center"], dtype=np.float32)
# box_size = np.array(node["aabb"]["size"], dtype=np.float32)
# axis_d = np.array(node["joint"]["axis"]["direction"], dtype=np.float32)
# axis_o = np.array(node["joint"]["axis"]["origin"], dtype=np.float32)
# jtype = joint_ref["fwd"][node["joint"]["type"]]
# # construct meshes for bbox in two states (closed and fully open)
# if node["id"] == root_id or node["parent"] == root_id: # use the joint info directly
# bb_0, bb_1 = get_colored_box(
# box_cen,
# box_size,
# jtype=jtype,
# jrange= node["joint"]["range"],
# axis_d=axis_d,
# axis_o=axis_o,
# )
# else: # use the parent joint info
# parent_id = node["parent"]
# bb_0, bb_1 = get_colored_box(
# box_cen,
# box_size,
# jtype=joint_ref["fwd"][tree[parent_id]["joint"]["type"]],
# jrange=tree[parent_id]["joint"]["range"],
# axis_d=np.array(tree[parent_id]["joint"]["axis"]["direction"], dtype=np.float32),
# axis_o=np.array(tree[parent_id]["joint"]["axis"]["origin"], dtype=np.float32),
# )
# # construct mesh for joint axis
# axis_mesh = get_axis_mesh(axis_d, axis_o, box_cen, node["joint"]["type"])
# # append
# bbox_0.append(bb_0)
# bbox_1.append(bb_1)
# axiss.append(axis_mesh)
# labels.append(sem_ref["fwd"][node["name"]])
# jtypes.append(jtype)
# return {
# "bbox_0": bbox_0,
# "bbox_1": bbox_1,
# "axiss": axiss,
# "labels": labels,
# "jtypes": jtypes,
# } |