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main.py
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import numpy as np
import open3d as o3d
import open3d.visualization as vis
import evaluate as evaluate
import os
import shutil
import ctypes
import argparse
import json
import coarse_segmentation as cs
import platform
if platform.system() == "Darwin":
sobss_lib = ctypes.cdll.LoadLibrary("build/libsobss.dylib")
elif platform.system() == "Linux":
sobss_lib = ctypes.cdll.LoadLibrary("build/libsobss.so")
elif platform.system() == "WINdows":
sobss_lib = ctypes.cdll.LoadLibrary("build/sobss.dll")
else:
raise Exception("Unsupported platform: {}".format(platform.system()))
def parse_bss_segm(path):
# 0 x, 1 y, 2 z, 3 width, 4 height (of front/back face),
# 5 radius, 6 length of the horizontal normals (default normals point to the (0,1,0))
segms = np.loadtxt(path)
num = segms.shape[0]
NV = np.sqrt(1 - segms[:, -1] ** 2)
Z_TOP = segms[:, 2] + segms[:, 5] * \
NV + segms[:, 4] * segms[:, -1] / 2
Z_BTM = segms[:, 2] + segms[:, 5] * \
NV - segms[:, 4] * segms[:, -1] / 2
Y_FRONT_TOP = segms[:, 1] + segms[:, 5] * \
segms[:, -1] - segms[:, 4] / 2 * NV
Y_FRONT_BTM = segms[:, 1] + segms[:, 5] * \
segms[:, -1] + segms[:, 4] / 2 * NV
Y_BACK_TOP = segms[:, 1] - segms[:, 5] * \
segms[:, -1] + segms[:, 4] / 2 * NV
Y_BACK_BTM = segms[:, 1] - segms[:, 5] * \
segms[:, -1] - segms[:, 4] / 2 * NV
X_RIGHT = segms[:, 0] + segms[:, 3] / 2
X_LEFT = segms[:, 0] - segms[:, 3] / 2
# segm
segm_coords = np.zeros((num, 4, 3))
segm_coords[:, 0, :] = np.vstack(
[X_LEFT, segms[:, 1], Z_TOP]).transpose() # LT 0
segm_coords[:, 1, :] = np.vstack(
[X_RIGHT, segms[:, 1], Z_TOP]).transpose() # RT 1
segm_coords[:, 2, :] = np.vstack(
[X_LEFT, segms[:, 1], Z_BTM]).transpose() # LB 2
segm_coords[:, 3, :] = np.vstack(
[X_RIGHT, segms[:, 1], Z_BTM]).transpose() # RB 3
segm_edge_conn = np.array((
[0, 1], # LT-RT
[1, 3], # RT-RB
[3, 2], # RB-LB
[2, 0] # LB-LT
)).reshape((1, 4, 2))
segm_edges = np.repeat(segm_edge_conn, num, axis=0) # shape: num, 4, 2
shift = (np.arange(num) * 4).reshape((num, 1))
shift = np.repeat(shift, 4, axis=1).reshape((num, 4, 1))
shift = np.repeat(shift, 2, axis=2)
segm_edges += shift
bss_segm_wf = o3d.geometry.LineSet()
bss_segm_wf.points = o3d.utility.Vector3dVector(segm_coords.reshape(-1, 3))
bss_segm_wf.lines = o3d.utility.Vector2iVector(segm_edges.reshape(-1, 2))
bss_segm_wf.colors = o3d.utility.Vector3dVector(np.array([[1, 0.253, 1]] * num * 4))
# vol
vol_coords = np.zeros((num, 8, 3))
vol_coords[:, 0, :] = np.vstack(
[X_LEFT, Y_FRONT_TOP, Z_TOP]).transpose() # FLT 0
vol_coords[:, 1, :] = np.vstack(
[X_RIGHT, Y_FRONT_TOP, Z_TOP]).transpose() # FRT 1
vol_coords[:, 2, :] = np.vstack(
[X_LEFT, Y_FRONT_BTM, Z_BTM]).transpose() # FLB 2
vol_coords[:, 3, :] = np.vstack(
[X_RIGHT, Y_FRONT_BTM, Z_BTM]).transpose() # FRB 3
vol_coords[:, 4, :] = np.vstack(
[X_LEFT, Y_BACK_TOP, Z_TOP]).transpose() # BLT 4
vol_coords[:, 5, :] = np.vstack(
[X_RIGHT, Y_BACK_TOP, Z_TOP]).transpose() # BRT 5
vol_coords[:, 6, :] = np.vstack(
[X_LEFT, Y_BACK_BTM, Z_BTM]).transpose() # BLB 6
vol_coords[:, 7, :] = np.vstack(
[X_RIGHT, Y_BACK_BTM, Z_BTM]).transpose() # BRB 7
vol_edge_conn = np.array((
[0, 1], # FLT-FRT
[1, 5], # FRT-BRT
[5, 4], # BRT-BLT
[4, 0], # BLT-FLT
[2, 3], # FLB-FRB
[3, 7], # FRB-BRB
[7, 6], # BRB-BLB
[6, 2], # BLB-FLB
[0, 2], # FLT-FLB
[1, 3], # FRT-FRB
[4, 6], # BLT-BLB
[5, 7] # BRT-BRB
)).reshape((1, 12, 2))
vol_edges = np.repeat(vol_edge_conn, num, axis=0) # shape: num, 12, 2
shift = (np.arange(num) * 8).reshape((num, 1))
shift = np.repeat(shift, 12, axis=1).reshape((num, 12, 1))
shift = np.repeat(shift, 2, axis=2)
vol_edges += shift
bss_segm_volume_wf = o3d.geometry.LineSet()
bss_segm_volume_wf.points = o3d.utility.Vector3dVector(vol_coords.reshape(-1, 3))
bss_segm_volume_wf.lines = o3d.utility.Vector2iVector(vol_edges.reshape(-1, 2))
return bss_segm_wf, bss_segm_volume_wf
def initialize_working_folder(
working_folder, vs = 0.25, p = 2.0, nmi = np.pi/9, sigma = 2.0, lmbd = 2.0):
if os.path.exists(working_folder):
shutil.rmtree(working_folder)
os.makedirs(working_folder)
params = {
'voxel_size': vs,
'ps': p,
'dxi': p / 2,
'xi': p,
'zci': p,
'nmi': nmi,
'sigma': sigma,
'lambda': lmbd}
conf_path = os.path.join(working_folder, "config.json")
with open(conf_path, "w") as f:
json.dump(params, f)
def actions(pcd_path, working_folder):
input_pcd = o3d.io.read_point_cloud(pcd_path)
INPUT_NAME = "input pcd"
ALIGN_NAME = "aligned pcd"
NH_NAME = "aligned non-horizontal pcd"
BSS_ATOM_NAME = "BSS atoms"
BSS_COARSE_SEGM_NAME = "BSS coarse segm"
BSS_COARSE_VOLUME_NAME = "BSS coarse volume"
BSS_MERGED_SEGM_NAME = "BSS merged segm"
BSS_MERGED_VOLUME_NAME = "BSS merged volume"
BSS_MERGED_TRI_MESH_NAME = "BSS merged mesh (tri)"
DISTANCE_TO_ALIGN_NAME = "Distance to input (0-1 m)"
def skeletonize(o3dvis):
pcd_path_c = ctypes.create_string_buffer(
pcd_path.encode('utf-8'))
working_folder_c = ctypes.create_string_buffer(
working_folder.encode('utf-8'))
sobss_lib.skeletonize(pcd_path_c, working_folder_c)
align_pcd_path = os.path.join(working_folder, "aligned.ply")
align_pcd = o3d.io.read_point_cloud(align_pcd_path)
o3dvis.add_geometry({"name": ALIGN_NAME, "geometry": align_pcd})
aa_nh_pcd_path = os.path.join(working_folder, "non_horizontal.ply")
aa_nh_pcd = o3d.io.read_point_cloud(aa_nh_pcd_path)
o3dvis.add_geometry({"name": NH_NAME, "geometry": aa_nh_pcd})
bss_atom_path = os.path.join(working_folder, "bss_atom.txt")
bss_atom_pts = np.loadtxt(bss_atom_path)[:,:3]
bss_atom = o3d.geometry.PointCloud()
bss_atom.points = o3d.utility.Vector3dVector(bss_atom_pts)
bss_atom.colors = o3d.utility.Vector3dVector(np.array([[1, 0.253, 1]] * bss_atom_pts.shape[0]))
o3dvis.add_geometry({"name": BSS_ATOM_NAME, "geometry": bss_atom})
o3dvis.show_geometry(INPUT_NAME, False)
o3dvis.setup_camera(45, np.array([0,0,0]), np.array([0, 0, 30]), np.array([0,0,1]))
o3dvis.post_redraw()
# view_ctl = o3dvis.get_view_control()
# view_ctl.set_lookat([0, 0, 0])
# view_ctl.set_front([0, 0, 1])
def coarse_segment(o3dvis):
cs.coarse_segment(working_folder)
bss_coarse_segm_path = os.path.join(working_folder, "bss_coarse_segm.txt")
bss_coarse_segm, bss_coarse_volume = parse_bss_segm(bss_coarse_segm_path)
o3dvis.show_geometry(ALIGN_NAME, False)
o3dvis.show_geometry(NH_NAME, False)
o3dvis.add_geometry({"name": BSS_COARSE_SEGM_NAME, "geometry": bss_coarse_segm})
o3dvis.add_geometry({"name": BSS_COARSE_VOLUME_NAME, "geometry": bss_coarse_volume})
def merge_segments(o3dvis):
working_folder_c = ctypes.create_string_buffer(
working_folder.encode('utf-8'))
sobss_lib.merge(working_folder_c)
bss_merged_segm_path = os.path.join(working_folder, "bss_merged_segm.txt")
bss_merged_segm, bss_merged_volume = parse_bss_segm(bss_merged_segm_path)
o3dvis.show_geometry(BSS_COARSE_SEGM_NAME, False)
o3dvis.show_geometry(BSS_COARSE_VOLUME_NAME, False)
o3dvis.add_geometry({"name": BSS_MERGED_SEGM_NAME, "geometry": bss_merged_segm})
o3dvis.add_geometry({"name": BSS_MERGED_VOLUME_NAME, "geometry": bss_merged_volume})
bss_merged_trimesh_path = os.path.join(working_folder, "bss_merged_tri.obj")
bss_merged_trimesh = o3d.io.read_triangle_mesh(bss_merged_trimesh_path)
o3dvis.add_geometry({"name": BSS_MERGED_TRI_MESH_NAME, "geometry": bss_merged_trimesh})
def evaluate_merged_segments(o3dvis):
if evaluate.distance_from_pcd_to_trimesh(working_folder, truncation=1.0):
evaluate_pcd_path = os.path.join(working_folder, "evaluated.ply")
evaluated_pcd = o3d.io.read_point_cloud(evaluate_pcd_path)
o3dvis.show_geometry(BSS_MERGED_TRI_MESH_NAME, False)
o3dvis.add_geometry({"name": DISTANCE_TO_ALIGN_NAME, "geometry": evaluated_pcd})
else:
print("failed to evaluate")
vis.draw([{
"name": INPUT_NAME,
"geometry": input_pcd}
],
actions=[("skeletonize", skeletonize),
("coarse segment", coarse_segment),
("merge", merge_segments),
("evaluate", evaluate_merged_segments)
])
# main
parser = argparse.ArgumentParser()
# set input and working folder
parser.add_argument('-i', type=str, required=True, help="input point cloud with normals (.ply)")
parser.add_argument('-w', type=str, required=True, help="working folder")
# set parameters
parser.add_argument('-v', type=float, default=0.25, help="voxel size in skeletonization")
parser.add_argument('-p', type=float, default=2.0, help="distance interval to group BSS atoms in coarse segmentation")
parser.add_argument('-n', type=float, default=np.pi/9, help="angular interval to group BSS atoms in coarse segmentation")
parser.add_argument('-s', type=float, default=2.0, help="truncate distance in merging")
parser.add_argument('-l', type=float, default=2.0, help="weighting factor in merging")
args = parser.parse_args()
initialize_working_folder(
args.w, vs = args.v, p = args.p, nmi = args.n, sigma = args.s, lmbd = args.l)
actions(args.i, args.w)