from dvis import dvis

dvis("mesh.obj") # load file
dvis(point_cloud, vs=0.03) # point cloud with specific voxel size
dvis(bboxes,'bbox', c=3, name='my_boxes') # show colored boxes 
dvis(np.array([0,0,0,1,2,3]), 'vec') # vector from origin to (1,2,3)
dvis(transform, 'transform') # display transformation
dvis(img, 'img') # display an image using visdom

Check out more examples in ./examples

python examples/meshes.py
python examples/point_clouds.py
python examples/...

• 0.8.8.0: Bumped dependencies version, custom port support

dvis(port=<PORT>) # set port the client is sending on
dvis(vis_port=<PORT>) # set the port for visdom

• 0.8.7.0: CLI for server: To start the server, use run

  dvis-server [--no_visdom]
  

• 0.8.6.0: Histogram support using plotly

  dvis(array, "hist", mi=0.1,ma=0.8, nbins=10, name="Example histogram")
  

• 0.8.4.0: Label and range image support, auto-format for img

  dvis(label_img [fmt='xyl']) # visualizses img of labels
  dvis(depth_map [fmt='xyr', cm='jet']) # visualizes an image of continuous values using cv2 color map
  dvis(heat_map [fmt='xyr', cm='hot']) 
  

Via pypi:

pip install dvis

or from source:

git clone git@github.com:SirWyver/dvis.git
cd dvis
pip install .

# From the dvis repository folder:
dvis-server 

or manually

cd server
python server.py

Verify you can open http://localhost:5001/ and see something like this:

Optionally, also start visdom to display images/videos/charts:

visdom -p 4999

The visdom server should be accessible at http://localhost:4999/.

Try out the client

import numpy as np
from dvis import dvis
dvis(np.random.rand(1000,6), s=0.03) # sends randomly colored 1000x3 point cloud to the 3d server
dvis("static/icon.png","img") # sends an image to the 2d server

Verify you can see a colored point cloud

For an overview of available commands check out the documentation