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import plotly.graph_objects as go |
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import open3d as o3d |
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import numpy as np |
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import textwrap |
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import torch |
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import random |
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def set_seed(): |
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seed = 123 |
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torch.manual_seed(seed) |
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torch.cuda.manual_seed(seed) |
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torch.cuda.manual_seed_all(seed) |
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np.random.seed(seed) |
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random.seed(seed) |
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def read_pcd(pcd_path): |
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pcd = o3d.io.read_point_cloud(pcd_path) |
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xyz = np.asarray(pcd.points) |
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rgb = np.asarray(pcd.colors) |
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if not pcd.has_normals(): |
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pcd.estimate_normals(search_param=o3d.geometry.KDTreeSearchParamHybrid(radius=0.1, max_nn=100)) |
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normal = np.asarray(pcd.normals) |
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return xyz, rgb, normal |
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def render_pcd_file(pcd_path): |
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pcd = o3d.io.read_point_cloud(pcd_path) |
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xyz = np.asarray(pcd.points) |
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rgb = np.asarray(pcd.colors) |
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return render_point_cloud(xyz, rgb) |
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def render_point_cloud(xyz, rgb, legend=None): |
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x = xyz[:, 0] |
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y = xyz[:, 1] |
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z = xyz[:, 2] |
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rgb = rgb * 255 |
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hex_colors = [f'#{int(r):02x}{int(g):02x}{int(b):02x}' for r, g, b in rgb] |
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fig = go.Figure(data=[go.Scatter3d(x=x, y=y, z=z, mode='markers', |
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marker=dict(size=2, color=hex_colors, colorscale='Viridis', opacity=0.8))]) |
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if legend: |
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fig.add_annotation(x=0.5, y=1.25, text="<br>".join(textwrap.wrap(legend, width=30)), showarrow=False, xref="paper", yref="paper") |
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fig.update_layout( |
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scene=dict( |
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xaxis=dict(title='x', showgrid=False, zeroline=False, visible=False), |
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yaxis=dict(title='y', showgrid=False, zeroline=False, visible=False), |
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zaxis=dict(title='z', showgrid=False, zeroline=False, visible=False), |
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aspectmode='manual'), |
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scene_camera=dict( |
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up=dict(x=0, y=1, z=0), |
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eye=dict(x=0, y=-0.9, z=2), |
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center = dict(x=0,y=0,z=0) |
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) |
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) |
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return fig |