Skip to main content

Visualize meshes, point clouds, and other geometry in a Jupyter Notebook

Project description

![threevis](https://www.graphics.rwth-aachen.de:9000/threevis/threevis/raw/master/docs/images/logo-90.png)
# threevis
[![pipeline status](https://www.graphics.rwth-aachen.de:9000/threevis/threevis/badges/master/pipeline.svg)](https://www.graphics.rwth-aachen.de:9000/threevis/threevis/commits/master)

A Python library for visualizing meshes, point clouds, and other geometry in Jupyter notebooks

## Installation
`pip install threevis`

## Examples

### Quick Mesh Inspection

```python
import threevis
import openmesh as om

m = om.read_trimesh('examples/models/bunny.obj')

threevis.display_openmesh(m)
```

### Custom Rendering

```python
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()
```

![mouse](https://www.graphics.rwth-aachen.de:9000/threevis/threevis/raw/master/docs/images/mouse.PNG)

## Development Setup

- Install dependencies
- Clone the repository
- `pip install -e .`

## Dependencies

- [pythreejs](https://github.com/jovyan/pythreejs/) >= 1.0.0

### Optional
- [openmesh-python](https://graphics.rwth-aachen.de:9000/adielen/openmesh-python) latest



Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

threevis-0.1.0.post20.tar.gz (510.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

threevis-0.1.0.post20-py2.py3-none-any.whl (11.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file threevis-0.1.0.post20.tar.gz.

File metadata

File hashes

Hashes for threevis-0.1.0.post20.tar.gz
Algorithm Hash digest
SHA256 cba7b8730270e7c264bb3af518909274577730ef61361b55c32034e4d8cecc63
MD5 f852b4be2f0ea1c60b6443acae94d49f
BLAKE2b-256 50dc835ba3aee0cc4bdedab1aa09985164a993d900dde89ae676a1aefeea9c6e

See more details on using hashes here.

File details

Details for the file threevis-0.1.0.post20-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for threevis-0.1.0.post20-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4261ce58f88bf29c7bf92029db5edad6402a1fc2f4f3a3d6562f44c23ba5df4f
MD5 5b99568f588aa299b5c25d310d6edf1b
BLAKE2b-256 0e1019c708774323efc95d38d0a7c6784f9fad238b1f86898a976accb3ad64cf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page