#PLOTBONEMODELS_EXAMPLE provides an example how to plot the VSD subjects.

#

# AUTHOR: Maximilian C. M. Fischer

# COPYRIGHT (C) 2022-2023 Maximilian C. M. Fischer

# LICENSE: EUPL v1.2

#

from pathlib import Path

import scipy.io

import plotly.graph_objects as go

import plotly.io

mod_path = Path(__file__).parent

relativePath = '../Bones/002.mat'

subjectPath = (mod_path / relativePath).resolve()

MAT = scipy.io.loadmat(subjectPath)

plotly.io.renderers.default='browser'

meshColor = 'white'

lightingEffects = dict(ambient=0.6, diffuse=1, roughness=0.5, specular=0.6, fresnel=2)

for b in range(0, MAT['B'].size):

    # Extract vertices and faces of one bone

    vertices = MAT['B'][0, b][2][0][0][0]

    # Subtract 1 from the faces for proper indexing

    faces = MAT['B'][0, b][2][0][0][1] - 1

    if b == 0:

        fig = go.Figure(go.Mesh3d(

            x=vertices[:, 0], y=vertices[:, 1], z=vertices[:, 2],

            i=faces[:, 0], j=faces[:, 1], k=faces[:, 2],

            opacity=1, color=meshColor, lighting=lightingEffects))

    else:

        fig.add_trace(go.Mesh3d(

            x=vertices[:, 0], y=vertices[:, 1], z=vertices[:, 2],

            i=faces[:, 0], j=faces[:, 1], k=faces[:, 2],

            opacity=1, color=meshColor, lighting=lightingEffects))

fig.update_scenes(camera_projection_type='orthographic')

fig['layout']['scene']['aspectmode'] = "data"

camera = dict(eye=dict(x=-2.5, y=-5, z=1))

fig.update_layout(scene_camera=camera)

axesSettings = dict(

    backgroundcolor="grey",

    gridcolor="white",

    showbackground=True,

    zerolinecolor="white")

fig.update_layout(scene=dict(

    xaxis=axesSettings,

    yaxis=axesSettings,

    zaxis=axesSettings))

fig.show()