Some tools for getting Wavefront OBJ files into a Plotly Dash 3dmesh graph
Project description
Import a Wavefront OBJ file into a plot.ly Dash 3dMesh graph:
pip install git+https://github.com/aegis1980/dash-obj-in-3dmesh.git
Some notes:
File locations
Put your wavefront obj & mtl file in 'data/obj' directory (this is the default). Alternatively pass a path to:
import_geometry(obj_names : List[str], path = _config.GEOMETRY_DIR)
Geometry
- Only triangulated meshes supported (i.e 3 vertices per face). Sort this out in your modelling software (e.g. Rhino)
- Textures, normals, groups are all ignored - only vertices, faces, materials and object names are parsed and passed to Dash graph as mesh data.
Materials
Only basic materials supported in mtl file: e.g:
newmtl diffuse_Green
Ka 0.0000 0.0000 0.0000
Kd 0.0000 1.0000 0.0000
Ks 1.0000 1.0000 1.0000
Tf 0.0000 0.0000 0.0000
d 1.0000
Ns 0.0000
Only the value for Kd
is used - so set this as your colour (in modelling software)
Code example
import dash
from dash_obj_in_3dmesh import geometry_tools, wav_obj
model_name = "test" #.obj & .mtl files in data/obj
axis_template = {
"showbackground": False,
"visible" : False
}
plot_layout = {
"title": "",
"margin": {"t": 0, "b": 0, "l": 0, "r": 0},
"font": {"size": 12, "color": "white"},
"showlegend": False,
'uirevision':'same_all_the_time', #this keeps camera position etc the same when data changes.
"scene": {
"xaxis": axis_template,
"yaxis": axis_template,
"zaxis": axis_template,
"aspectmode" : "data",
"camera": {"eye": {"x": 1.25, "y": 1.25, "z": 1.25}},
"annotations": [],
},
}
layout = return html.Div([dcc.Graph(
id="graph",
figure={
"data": geometry_tools.import_geometry([model_name]),
"layout": plot_layout,
},
config={"scrollZoom": True}, # activates wheel thingy on mouse to zoom and wotnot
)])
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