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="
".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