Visualize meshes, point clouds, and other geometry in a Jupyter Notebook
Project description
a Python library for visualizing meshes, point clouds, and other geometry in Jupyter notebooks
Installation
pip install threevis
Examples
Quick Mesh Inspection
import threevis
import openmesh as om
m = om.read_trimesh('examples/models/bunny.obj')
threevis.display_openmesh(m)
Custom Rendering
import threevis
import openmesh as om
import numpy as np
# Load Mesh
m = om.read_trimesh('mouse.obj')
# Create Context
ctx = threevis.Context(width=640, height=480)
# Get vertices and faces from the mesh
vertices = m.points()
faces = m.face_vertex_indices()
# We don't have normals, calculate them
normals = threevis.calculateFaceNormals(m.points(), m.face_vertex_indices())
# Choose a random color for each face
colors = threevis.FaceAttribute(np.random.rand(len(faces), 3))
# Draw the mesh with flat shading
ctx.draw_faces(vertices, faces,
normals = normals,
colors = colors,
shading = 'flat')
# Draw edges on top with random colors
ctx.draw_edges(vertices, m.ev_indices(),
colors = threevis.FaceAttribute(np.random.rand(len(m.ev_indices()), 3)),
linewidth=3)
# Calculate data to display normals as edges
normal_vis_verts, normal_vis_edges = threevis.calculateNormalEdges(vertices, faces, normals, length=0.05)
# Draw the normals in
ctx.draw_edges(normal_vis_verts, normal_vis_edges, colors = colors)
# Draw a point for each vertex
ctx.draw_vertices(vertices, point_size=4, colors='red')
# Finally display it
ctx.display()
Development Setup
Install dependencies
Clone the repository
pip install -e .
Dependencies
pythreejs >= 1.0.0
Optional
openmesh-python latest
Project details
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