Find3D / utils.py
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set seed
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import plotly.graph_objects as go
import open3d as o3d
import numpy as np
import textwrap
import torch
import random
def set_seed():
seed = 123
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
np.random.seed(seed)
random.seed(seed)
def read_pcd(pcd_path):
pcd = o3d.io.read_point_cloud(pcd_path)
xyz = np.asarray(pcd.points)
rgb = np.asarray(pcd.colors)
if not pcd.has_normals():
pcd.estimate_normals(search_param=o3d.geometry.KDTreeSearchParamHybrid(radius=0.1, max_nn=100))
normal = np.asarray(pcd.normals)
return xyz, rgb, normal
def render_pcd_file(pcd_path):
pcd = o3d.io.read_point_cloud(pcd_path)
xyz = np.asarray(pcd.points)
rgb = np.asarray(pcd.colors)
return render_point_cloud(xyz, rgb)
def render_point_cloud(xyz, rgb, legend=None):
x = xyz[:, 0]
y = xyz[:, 1]
z = xyz[:, 2]
rgb = rgb * 255
hex_colors = [f'#{int(r):02x}{int(g):02x}{int(b):02x}' for r, g, b in rgb]
fig = go.Figure(data=[go.Scatter3d(x=x, y=y, z=z, mode='markers',
marker=dict(size=2, color=hex_colors, colorscale='Viridis', opacity=0.8))])
if legend:
fig.add_annotation(x=0.5, y=1.25, text="<br>".join(textwrap.wrap(legend, width=30)), showarrow=False, xref="paper", yref="paper")
# Customize layout
fig.update_layout(
scene=dict(
xaxis=dict(title='x', showgrid=False, zeroline=False, visible=False),
yaxis=dict(title='y', showgrid=False, zeroline=False, visible=False),
zaxis=dict(title='z', showgrid=False, zeroline=False, visible=False),
aspectmode='manual'),
scene_camera=dict(
up=dict(x=0, y=1, z=0), # Adjust these values for your point cloud
eye=dict(x=0, y=-0.9, z=2), # Increase the values to move further away
center = dict(x=0,y=0,z=0)
)
)
# fig.update_layout(
# height=450,
# autosize=True,
# hovermode=False,
# margin=go.layout.Margin(l=0, r=0, b=0, t=0),
# showlegend=False,
# legend=dict(
# yanchor='bottom',
# y=0.01,
# xanchor='right',
# x=0.99,
# ),
# scene=dict(
# aspectmode='manual',
# aspectratio=dict(x=1, y=1, z=1.0),
# camera=dict(
# eye=dict(x=base_radius - 1.6, y=0.0, z=0.6),
# center=dict(x=0.0, y=0.0, z=0.0),
# up=dict(x=0.0, y=0.0, z=1.0)),
# xaxis_title='',
# yaxis_title='',
# zaxis_title='',
# xaxis=dict(
# range=[-scene_bounds, scene_bounds],
# showticklabels=False,
# showgrid=True,
# zeroline=False,
# showbackground=True,
# showspikes=False,
# showline=False,
# ticks=''),
# yaxis=dict(
# range=[-scene_bounds, scene_bounds],
# showticklabels=False,
# showgrid=True,
# zeroline=False,
# showbackground=True,
# showspikes=False,
# showline=False,
# ticks=''),
# zaxis=dict(
# range=[-scene_bounds, scene_bounds],
# showticklabels=False,
# showgrid=True,
# zeroline=False,
# showbackground=True,
# showspikes=False,
# showline=False,
# ticks='')))
return fig